PUBLIKATIONEN DES INB - Research Portal of the University of Lübeck
Publikationen einzelner Mitarbeiter bis 2022
2022
        
    
    
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Hammam
                    Alshazly, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
A walk in the black-box: 3D visualization of large neural networks in virtual reality, Neural Computing and Applications , 2022.
A walk in the black-box: 3D visualization of large neural networks in virtual reality, Neural Computing and Applications , 2022.
| DOI: | 10.1007/s00521-022-07608-4 | 
| Datei: | s00521-022-07608-4 | 
| Bibtex: | @article{LiAlMa22,
    author = {Christoph Linse and Hammam Alshazly and Thomas Martinetz},
    title = {A walk in the black-box: {3D} visualization of large neural networks in virtual reality},
    shorttitle = {A walk in the black-box},
    issn = {0941-0643, 1433-3058},
    language = {en},
    journal = {Neural Computing and Applications},
    month = {aug},
    year = {2022},
    urldate = {2022-08-19},
    url = {https://link.springer.com/10.1007/s00521-022-07608-4},
    doi = {10.1007/s00521-022-07608-4},
}
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                Hajo Nils
                Krabbenhöft, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
TEVR: Improving Speech Recognition by Token Entropy Variance Reduction, 2022. arXiv.
TEVR: Improving Speech Recognition by Token Entropy Variance Reduction, 2022. arXiv.
| DOI: | 10.48550/ARXIV.2206.12693 | 
| Datei: | 2206.12693 | 
| Bibtex: | @misc{KrBa22,
author = {Hajo Nils Krabbenh{\"o}ft and Erhardt Barth},
title = {{TEVR}: {I}mproving {S}peech {R}ecognition by {T}oken {E}ntropy {V}ariance {R}eduction},
publisher = {arXiv},
year = {2022},
keywords = {Computation and Language (cs.CL), Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, F.2.1; I.2.6; I.2.7},
doi = {10.48550/ARXIV.2206.12693},
url = {https://arxiv.org/abs/2206.12693},
copyright = {Creative Commons Attribution 4.0 International}
}
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                    Christian
                    Thiemann,
                
        
    
        
        
        
            
            
                    Britta
                    Klitzke,
                
        
    
        
        
        
            
            
                    Philipp
                    Martinetz,
                
        
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Thomas
                    Käster,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Jan
                    Kramer, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Automated assessment of immunofixations with deep neural networks, Journal of Laboratory Medicine , vol. 46, no. 5, pp. 331--336, 2022. De Gruyter.
Automated assessment of immunofixations with deep neural networks, Journal of Laboratory Medicine , vol. 46, no. 5, pp. 331--336, 2022. De Gruyter.
| Datei: | |
| Bibtex: | @article{ThKlMaGrKaBaKrMa22,
  title={Automated assessment of immunofixations with deep neural networks},
  author={Thiemann, Christian and Klitzke, Britta and Martinetz, Philipp and Gr{\"u}ning, Philipp and K{\"a}ster, Thomas and Barth, Erhardt and Kramer, Jan and Martinetz, Thomas},
  journal={Journal of Laboratory Medicine},
  volume={46},
  number={5},
  pages={331--336},
  year={2022},
  publisher={De Gruyter},
  url={https://www.degruyter.com/document/doi/10.1515/labmed-2022-0078/pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
FP-nets as novel deep networks inspired by vision, Journal of Vision , vol. 22, no. 1, pp. 8--8, 2022. The Association for Research in Vision and Ophthalmology.
FP-nets as novel deep networks inspired by vision, Journal of Vision , vol. 22, no. 1, pp. 8--8, 2022. The Association for Research in Vision and Ophthalmology.
| Datei: | |
| Bibtex: | @article{GrMaBa22,
  title={FP-nets as novel deep networks inspired by vision},
  author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
  journal={Journal of Vision},
  volume={22},
  number={1},
  pages={8--8},
  year={2022},
  publisher={The Association for Research in Vision and Ophthalmology},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrMaBa22.pdf}
}
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                    Ping
                    Koo-Poeggel,
                
        
    
        
        
        
            
            
                    Soé
                    Neuwerk,
                
        
    
        
        
        
            
            
                    Eike
                    Petersen,
                
        
    
        
        
        
            
            
                    Jan
                    Grasshoff,
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding, Journal of Sleep Research , vol. 31, no. 6, pp. e13734, 2022.
Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding, Journal of Sleep Research , vol. 31, no. 6, pp. e13734, 2022.
| DOI: | https://doi.org/10.1111/jsr.13734 | 
| Datei: | |
| Bibtex: | @article{KoNePeGrMoMaMa22,
author = {Koo-Poeggel, Ping and Neuwerk, Soé and Petersen, Eike and Grasshoff, Jan and Mölle, Matthias and Martinetz, Thomas and Marshall, Lisa},
title = {Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding},
journal = {Journal of Sleep Research},
volume = {31},
number = {6},
pages = {e13734},
doi = {https://doi.org/10.1111/jsr.13734},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KoNePeGrMoMaMa22.pdf},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/jsr.13734},
abstract = {Summary Sleep is able to contribute not only to memory consolidation, but also to post-sleep learning. The notion exists that either synaptic downscaling or another process during sleep increase post-sleep learning capacity. A correlation between augmentation of the sleep slow oscillation and hippocampal activation at encoding support the contribution of sleep to encoding of declarative memories. In the present study, the effect of closed-loop acoustic stimulation during an afternoon nap on post-sleep encoding of two verbal (word pairs, verbal learning and memory test) and non-verbal (figural pairs) tasks and on electroencephalogram during sleep and learning were investigated in young healthy adults (N = 16). Closed-loop acoustic stimulation enhanced slow oscillatory and spindle activity, but did not affect encoding at the group level. Subgroup analyses and comparisons with similar studies lead us to the tentative conclusion that further parameters such as time of day and subjects' cognitive ability influenced responses to closed-loop acoustic stimulation.},
year = {2022}
}
 | 
2021
        
    
    
    
    
        
        
        
            
            
                    Dominik
                    Mairhöfer,
                
        
    
        
        
        
            
            
                    Manuel
                    Laufer,
                
        
    
        
        
        
            
            
                    Paul Martin
                    Simon,
                
        
    
        
        
        
            
            
                    Malte
                    Sieren,
                
        
    
        
        
        
            
            
                    Arpad
                    Bischof,
                
        
    
        
        
        
            
            
                    Thomas
                    Käster,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Jörg
                    Barkhausen, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs, in Proceedings of the Fourth Conference on Medical Imaging with Deep Learning , Heinrich, Mattias and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schläfer, Alexander and Ernst, Floris, Eds. PMLR, 07-.2021. pp. 484--496.
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs, in Proceedings of the Fourth Conference on Medical Imaging with Deep Learning , Heinrich, Mattias and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schläfer, Alexander and Ernst, Floris, Eds. PMLR, 07-.2021. pp. 484--496.
| Datei: | |
| Bibtex: | @inproceedings{MaLaSiSiBiKaBaBaMa21,
  title = {An {AI}-based Framework for Diagnostic Quality Assessment of Ankle Radiographs},
  author = {Mairh{\"o}fer, Dominik and Laufer, Manuel and Simon, Paul Martin and Sieren, Malte and Bischof, Arpad and K{\"a}ster, Thomas and Barth, Erhardt and Barkhausen, J{\"o}rg and Martinetz, Thomas},
  booktitle = {Proceedings of the Fourth Conference on Medical Imaging with Deep Learning},
  pages = {484--496},
  year = {2021},
  editor = {Heinrich, Mattias and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schläfer, Alexander and Ernst, Floris},
  volume = {143},
  series = {Proceedings of Machine Learning Research},
  month = {07--09 Jul},
  publisher = {PMLR},
  pdf = {https://proceedings.mlr.press/v143/mairhofer21a/mairhofer21a.pdf},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaLaSiSiBiKaBaBaMa21.pdf},
  abstract = {The quality of radiographs is of major importance for diagnosis and treatment planning. While most research regarding automated radiograph quality assessment uses technical features such as noise or contrast, we propose to use anatomical structures as more appropriate features. We show that based on such anatomical features, a modular deep-learning framework can serve as a quality control mechanism for the diagnostic quality of ankle radiographs. For evaluation, a dataset consisting of 950 ankle radiographs was collected and their quality was labeled by radiologists. We obtain an average accuracy of 94.1%, which is better than the expert radiologists are on average.}
}
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                    Muhammad
                    Mushtaq,
                
        
    
        
        
        
            
            
                    Rizwan
                    Haq,
                
        
    
        
        
        
            
            
                    Waqas
                    Anwar,
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
        
        
        
            
            
                    Maxim
                    Bazhenov,
                
        
    
        
        
        
            
            
                    Kashif
                    Zia,
                
        
    
        
        
        
            
            
                    Hina
                    Alam,
                
        
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Abdul Aleem
                    Awan, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells, Bioengineered , vol. 12, issue 1, pp. 2603--2615, 2021.
A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells, Bioengineered , vol. 12, issue 1, pp. 2603--2615, 2021.
| DOI: | 10.1080/21655979.2021.1936894 | 
| Datei: | |
| Bibtex: | @article {MuHaAnetal21,
author = {Muhammad Mushtaq and Rizwan ul Haq and Waqas Anwar and Lisa Marshall and Maxim Bazhenov and Kashif Zia and Hina Alam and Lars Hertel and Abdul Aleem Awan and Thomas Martinetz},
title = {A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells},
journal = {Bioengineered},
volume = {12, issue 1},
pages = {2603--2615},
year = {2021},
doi = {10.1080/21655979.2021.1936894},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MuHaAnetal21.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Philipp
                Grüning, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks, in SVRHM 2021 Workshop NeurIPS , 2021.
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks, in SVRHM 2021 Workshop NeurIPS , 2021.
| Datei: | |
| Bibtex: | @inproceedings{GrBa21,
  title={Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks},
  author={Gr{\"u}ning, Philipp and Barth, Erhardt},
  booktitle={SVRHM 2021 Workshop NeurIPS},
  year={2021},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrBa21.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Mohamed
                    Abdalla,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans, PeerJ Computer Science , vol. 7, pp. e655, 2021.
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans, PeerJ Computer Science , vol. 7, pp. e655, 2021.
| DOI: | 10.7717/peerj-cs.655 | 
| Datei: | peerj-cs.655 | 
| Bibtex: | @article{AlLiAbBaMa21,
author={Hammam Alshazly and Christoph Linse and Mohamed Abdalla and Erhardt Barth and Thomas Martinetz},
title = {{COVID-Nets}: deep {CNN} architectures for detecting {COVID-19} using chest {CT} scans},
journal = {PeerJ Computer Science},
volume={7},
pages={e655},
year={2021},
doi = {10.7717/peerj-cs.655},
url = {https://doi.org/10.7717/peerj-cs.655}
}
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                    Alex
                    Palumbo,
                
        
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Svenja Kim
                    Landt,
                
        
    
        
        
        
            
            
                    Lara Eleen
                    Heckmann,
                
        
    
        
        
        
            
            
                    Luisa
                    Bartram,
                
        
    
        
        
        
            
            
                    Alessa
                    Pabst,
                
        
    
        
        
        
            
            
                    Charlotte
                    Flory,
                
        
    
        
        
        
            
            
                    Maulana
                    Ikhsan,
                
        
    
        
        
        
            
            
                    Sören
                    Pietsch,
                
        
    
        
        
        
            
            
                    Reinhard
                    Schulz, and
                
        
    
        
        
        
            
            
                    
                    others,
                
        
    
Deep learning to decipher the progression and morphology of axonal degeneration, Cells , vol. 10, no. 10, pp. 2539, 2021. Multidisciplinary Digital Publishing Institute.
Deep learning to decipher the progression and morphology of axonal degeneration, Cells , vol. 10, no. 10, pp. 2539, 2021. Multidisciplinary Digital Publishing Institute.
| Datei: | |
| Bibtex: | @article{Palumbo-etal21,
  title={Deep learning to decipher the progression and morphology of axonal degeneration},
  author={Palumbo, Alex and Gr{\"u}ning, Philipp and Landt, Svenja Kim and Heckmann, Lara Eleen and Bartram, Luisa and Pabst, Alessa and Flory, Charlotte and Ikhsan, Maulana and Pietsch, S{\"o}ren and Schulz, Reinhard and others},
  journal={Cells},
  volume={10},
  number={10},
  pages={2539},
  year={2021},
  publisher={Multidisciplinary Digital Publishing Institute},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/Palumbo-etal21.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Falk
                    Nette,
                
        
    
        
        
        
            
            
                    Noah
                    Heldt,
                
        
    
        
        
        
            
            
                    Ana Cristina Guerra
                    Souza, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning, in Medical Imaging with Deep Learning , 2021. pp. 219--227.
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning, in Medical Imaging with Deep Learning , 2021. pp. 219--227.
| Datei: | |
| Bibtex: | @inproceedings{GrNeHeSoBa21,
  title={Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning},
  author={Gr{\"u}ning, Philipp and Nette, Falk and Heldt, Noah and de Souza, Ana Cristina Guerra and Barth, Erhardt},
  booktitle={Medical Imaging with Deep Learning},
  pages={219--227},
  year={2021},
  organization={PMLR},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrNeHeSoBa21.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning, Sensors , vol. 21, no. 2, pp. 455, 2021. Multidisciplinary Digital Publishing Institute.
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning, Sensors , vol. 21, no. 2, pp. 455, 2021. Multidisciplinary Digital Publishing Institute.
| Datei: | |
| Bibtex: | @article{AlLiBaMa21,
author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
title = {Explainable {COVID-19} {D}etection {U}sing {C}hest {CT} {S}cans and {D}eep {L}earning},
journal = {Sensors},
volume={21},
number={2},
pages={455},
year={2021},
publisher={Multidisciplinary Digital Publishing Institute},
url = {https://www.mdpi.com/1424-8220/21/2/455},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/AlLiBaMa21.pdf}
}
 | 
        
    
    
    
        
        
            
                Philipp
                Grüning, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
FP-Nets for Blind Image Quality Assessment, Journal of Perceptual Imaging , vol. 4, no. 1, pp. 10402-1--10402-13, 2021.
FP-Nets for Blind Image Quality Assessment, Journal of Perceptual Imaging , vol. 4, no. 1, pp. 10402-1--10402-13, 2021.
| Datei: | |
| Bibtex: | @article{GrBa21a,
  title={{FP}-{N}ets for {B}lind {I}mage {Q}uality {A}ssessment},
  author={Gr{\"u}ning, Philipp and Barth, Erhardt},
  journal={Journal of Perceptual Imaging},
  volume={4},
  number={1},
  pages={10402-1--10402-13},
  year={2021},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrBa21a.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Shambhavi
                    Mishra,
                
        
    
        
        
        
            
            
                    Tanveer
                    Ahmed,
                
        
    
        
        
        
            
            
                    Vipul
                    Mishra,
                
        
    
        
        
        
            
            
                    Manjit
                    Kaur,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Amit Kumar
                    Jain, and
                
        
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering, in Computational Intelligence and Neuroscience , 2021.
Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering, in Computational Intelligence and Neuroscience , 2021.
| DOI: | 10.1155/2021/6400045 | 
| Datei: | 6400045 | 
| Bibtex: | @inproceedings{MiAhMiKaMaJaAl21,
author = {Shambhavi Mishra and Tanveer Ahmed and Vipul Mishra and Manjit Kaur and Thomas Martinetz and Amit Kumar Jain and Hammam Alshazly},
title = {Multivariate and {O}nline {P}rediction of {C}losing {P}rice {U}sing {K}ernel {A}daptive {F}iltering},
booktitle = {Computational Intelligence and Neuroscience},
volume = {2021},
note = {14 pages},
comment = {Article ID 6400045},
year = {2021},
doi = {10.1155/2021/6400045},
url = {https://doi.org/10.1155/2021/6400045},
}
 | 
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Sahar Ahmed
                    Idris, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Towards Explainable Ear Recognition Systems Using Deep Residual Networks, IEEE Access , pp. 1-1, 2021.
Towards Explainable Ear Recognition Systems Using Deep Residual Networks, IEEE Access , pp. 1-1, 2021.
| DOI: | 10.1109/ACCESS.2021.3109441 | 
| Datei: | ACCESS.2021.3109441 | 
| Bibtex: | @article{AlLiBaIdMa21,
author = {Hammam Alshazly and Christoph Linse and Erhardt Barth and Sahar Ahmed Idris and Thomas Martinetz},
journal = {IEEE Access},
title = {{T}owards {E}xplainable {E}ar {R}ecognition {S}ystems {U}sing {D}eep {R}esidual {N}etworks},
year = {2021},
pages = {1-1},
doi = {10.1109/ACCESS.2021.3109441},
url = {https://doi.org/10.1109/ACCESS.2021.3109441}
}
 | 
2020
        
    
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks, in Artificial Neural Networks and Machine Learning -- ICANN 2020 , Farkaš, Igor and Masulli, Paolo and Wermter, Stefan, Eds. Cham: Springer International Publishing, 2020. pp. 79--91.
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks, in Artificial Neural Networks and Machine Learning -- ICANN 2020 , Farkaš, Igor and Masulli, Paolo and Wermter, Stefan, Eds. Cham: Springer International Publishing, 2020. pp. 79--91.
        
    
    
    
        
        
        
            
            
                    Yina
                    Wei,
                
        
    
        
        
        
            
            
                    Giri P.
                    Krishnan,
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Maxim
                    Bazhenov,
                
        
    
Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep, The Journal of Neuroscience , vol. 40, no. 4, pp. 811--824, 2020.
Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep, The Journal of Neuroscience , vol. 40, no. 4, pp. 811--824, 2020.
| Datei: | |
| Bibtex: | @article{WeKrMaMaBa20,
author = {Yina Wei and Giri P. Krishnan and Lisa Marshall and Thomas Martinetz and Maxim Bazhenov},
title = {Stimulation {A}ugments {S}pike {Se}quence {R}eplay and {M}emory {C}onsolidation during {S}low-{W}ave {S}leep},
journal = {The Journal of Neuroscience},
volume = {40},
number = {4},
pages = {811--824},
year = {2020},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/WeKrMaMaBa20.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Marius
                Jahrens, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks, in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom , 2020. pp. 1--6.
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks, in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom , 2020. pp. 1--6.
| Datei: | 9207319 | 
| Bibtex: | @inproceedings{JaMa20,
  title={{S}olving {R}aven's {P}rogressive {M}atrices with {M}ulti-{L}ayer {R}elation {N}etworks},
  author={Marius Jahrens and Thomas Martinetz},
  booktitle={2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom},
  pages={1--6},
  year={2020},
  url = {https://ieeexplore.ieee.org/document/9207319}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Alex
                    Palumbo,
                
        
    
        
        
        
            
            
                    Svenja Kim
                    Landt,
                
        
    
        
        
        
            
            
                    Lara
                    Heckmann,
                
        
    
        
        
        
            
            
                    Leslie
                    Brackhagen,
                
        
    
        
        
        
            
            
                    Marietta
                    Zille, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
Robust and Markerfree in vitro Axon Segmentation with CNNs, in International Conference on Wireless Mobile Communication and Healthcare , 2020. pp. 274--284.
Robust and Markerfree in vitro Axon Segmentation with CNNs, in International Conference on Wireless Mobile Communication and Healthcare , 2020. pp. 274--284.
| Datei: | |
| Bibtex: | @inproceedings{GrPaLaHeBrZiMa20,
  title={Robust and Markerfree in vitro Axon Segmentation with CNNs},
  author={Gr{\"u}ning, Philipp and Palumbo, Alex and Landt, Svenja Kim and Heckmann, Lara and Brackhagen, Leslie and Zille, Marietta and Mamlouk, Amir Madany},
  booktitle={International Conference on Wireless Mobile Communication and Healthcare},
  pages={274--284},
  year={2020},
  organization={Springer},
  url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrPaLaHeBrZiMa20.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Deep Convolutional Neural Networks for Unconstrained Ear Recognition, IEEE Access , vol. 8, pp. 170295--170310, 2020. IEEE.
Deep Convolutional Neural Networks for Unconstrained Ear Recognition, IEEE Access , vol. 8, pp. 170295--170310, 2020. IEEE.
| Datei: | |
| Bibtex: | @article{AlLiBaMa20,
  title={Deep {C}onvolutional {N}eural {N}etworks for {U}nconstrained {E}ar {R}ecognition},
  author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
  journal={IEEE Access},
  publisher={IEEE},
  volume={8},
  pages={170295--170310},
  year={2020},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/AlLiBaMa20.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Feature Products Yield Efficient Networks, arXiv preprint arXiv: 2008.07930 , 2020.
Feature Products Yield Efficient Networks, arXiv preprint arXiv: 2008.07930 , 2020.
| Datei: | |
| Bibtex: | @article{GrMaBa20,
  title={Feature Products Yield Efficient Networks},
  author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
  journal={arXiv preprint arXiv:2008.07930},
  year={2020},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrMaBa20.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Alex
                    Palumbo,
                
        
    
        
        
        
            
            
                    Philipp
                    Gruening,
                
        
    
        
        
        
            
            
                    Svenja Kim
                    Landt,
                
        
    
        
        
        
            
            
                    Lara Eleen
                    Heckmann,
                
        
    
        
        
        
            
            
                    Luisa
                    Bartram,
                
        
    
        
        
        
            
            
                    Alessa
                    Pabst,
                
        
    
        
        
        
            
            
                    Charlotte
                    Flory,
                
        
    
        
        
        
            
            
                    Maulana
                    Ikhsan,
                
        
    
        
        
        
            
            
                    Soeren
                    Pietsch,
                
        
    
        
        
        
            
            
                    Reinhard
                    Schulz,
                
        
    
        
        
        
            
            
                    Christopher
                    Kren,
                
        
    
        
        
        
            
            
                    Norbert
                    Koop,
                
        
    
        
        
        
            
            
                    Johannes
                    Boltze,
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk, and
                
        
    
        
        
        
            
            
                    Marietta
                    Zille,
                
        
    
Entire Axon: Deep learning deciphers four distinct patterns of axonal degeneration, BioRxiv , 2020. Cold Spring Harbor Laboratory.
Entire Axon: Deep learning deciphers four distinct patterns of axonal degeneration, BioRxiv , 2020. Cold Spring Harbor Laboratory.
| Datei: | |
| Bibtex: | @article{PaGrLaHeBaPaFlIkPiScKrKoBoMaZi20,
  title={Entire{A}xon: {D}eep learning deciphers four distinct patterns of axonal degeneration},
  author={Alex Palumbo and Philipp Gruening and Svenja Kim Landt and Lara Eleen Heckmann and Luisa Bartram and Alessa Pabst and Charlotte Flory and Maulana Ikhsan and Soeren Pietsch and Reinhard Schulz and Christopher Kren and Norbert Koop and Johannes Boltze and Amir Madany Mamlouk and Marietta Zille},
  journal={BioRxiv},
  publisher={Cold Spring Harbor Laboratory},
  year={2020},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PaGrLaHeBaPaFlIkPiScKrKoBoMaZi20.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Philipp
                Grüning, and
            
            
        
        
    
        
        
            
            
                Amir Madany
                Mamlouk,
            
        
        
    
Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments, in 2020 International Joint Conference on Neural Networks (IJCNN) , 2020. pp. 1--8.
Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments, in 2020 International Joint Conference on Neural Networks (IJCNN) , 2020. pp. 1--8.
        
    
    
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Alex
                    Palumbo,
                
        
    
        
        
        
            
            
                    Marietta
                    Zille,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
A task-dependent active learning method for axon segmentation with CNNs, Proceedings on Automation in Medical Engineering , vol. 1, no. 1, pp. 025--025, 2020.
A task-dependent active learning method for axon segmentation with CNNs, Proceedings on Automation in Medical Engineering , vol. 1, no. 1, pp. 025--025, 2020.
| Datei: | |
| Bibtex: | @article{GrPaZiBaMa20,
title={A task-dependent active learning method for axon segmentation with CNNs},
author={Gr{\"u}ning, Philipp and Palumbo, Alex and Zille, Marietta and Barth, Erhardt and Mamlouk, Amir Madany},
journal={Proceedings on Automation in Medical Engineering},
volume={1},
number={1},
pages={025--025},
year={2020},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrPaZiBaMa20.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hassan Ali
                    Khan,
                
        
    
        
        
        
            
            
                    Wu
                    Jue,
                
        
    
        
        
        
            
            
                    Muhammad
                    Mushtaq, and
                
        
    
        
        
        
            
            
                    Muhammad Umer
                    Mushtaq,
                
        
    
Brain tumor classification in MRI image using convolutional neural network, Mathematical Biosciences and Engineering , vol. 17, issue 5, pp. 6203--6216, 2020.
Brain tumor classification in MRI image using convolutional neural network, Mathematical Biosciences and Engineering , vol. 17, issue 5, pp. 6203--6216, 2020.
| DOI: | 10.3934/mbe.2020328 | 
| Datei: | |
| Bibtex: | @article{KhJuMuMu20,
author = {Hassan Ali Khan and Wu Jue and Muhammad Mushtaq and Muhammad Umer Mushtaq},
title = {Brain tumor classification in MRI image using convolutional neural network},
journal = {Mathematical Biosciences and Engineering},
volume = {17, issue 5},
pages = {6203--6216},
year = {2020},
doi = {10.3934/mbe.2020328},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KhJuMuMu20.pdf}
}
 | 
2019
        
    
    
    
        
        
        
            
            
                    Neeraj
                    Kumar,
                
        
    
        
        
        
            
            
                    Ruchika
                    Verma,
                
        
    
        
        
        
            
            
                    Deepak
                    Anand,
                
        
    
        
        
        
            
            
                    Yanning
                    Zhou,
                
        
    
        
        
        
            
            
                    Omer
                    Fahri Onder,
                
        
    
        
        
        
            
            
                    Efstratios
                    Tsougenis,
                
        
    
        
        
        
            
            
                    Hao
                    Chen,
                
        
    
        
        
        
            
            
                    Pheng-Ann
                    Heng,
                
        
    
        
        
        
            
            
                    Jiahui
                    Li,
                
        
    
        
        
        
            
            
                    Zhiqiang
                    Hu,
                
        
    
        
        
        
            
            
                    Yunzhi
                    Wang,
                
        
    
        
        
        
            
            
                    Navid
                    Alemi Koohbanani,
                
        
    
        
        
        
            
            
                    Mostafa
                    Jahanifar,
                
        
    
        
        
        
            
            
                    Neda
                    Zamani Tajeddin,
                
        
    
        
        
        
            
            
                    Ali
                    Gooya,
                
        
    
        
        
        
            
            
                    Nasir
                    Rajpoot,
                
        
    
        
        
        
            
            
                    Xuhua
                    Ren,
                
        
    
        
        
        
            
            
                    Sihang
                    Zhou,
                
        
    
        
        
        
            
            
                    Qian
                    Wang,
                
        
    
        
        
        
            
            
                    Dinggang
                    Shen,
                
        
    
        
        
        
            
            
                    Cheng-Kun
                    Yang,
                
        
    
        
        
        
            
            
                    Chi-Hung
                    Weng,
                
        
    
        
        
        
            
            
                    Wei-Hsiang
                    Yu,
                
        
    
        
        
        
            
            
                    Chao-Yuan
                    Yeh,
                
        
    
        
        
        
            
            
                    Shuang
                    Yang,
                
        
    
        
        
        
            
            
                    Shuoyu
                    Xu,
                
        
    
        
        
        
            
            
                    Pak
                    Hei Yeung,
                
        
    
        
        
        
            
            
                    Peng
                    Sun,
                
        
    
        
        
        
            
            
                    Amirreza
                    Mahbod,
                
        
    
        
        
        
            
            
                    Gerald
                    Schaefer,
                
        
    
        
        
        
            
            
                    Isabella
                    Ellinger,
                
        
    
        
        
        
            
            
                    Rupert
                    Ecker,
                
        
    
        
        
        
            
            
                    Orjan
                    Smedby,
                
        
    
        
        
        
            
            
                    Chunliang
                    Wang,
                
        
    
        
        
        
            
            
                    Benjamin
                    Chidester,
                
        
    
        
        
        
            
            
                    That-Vinh
                    Ton,
                
        
    
        
        
        
            
            
                    Minh-Triet
                    Tran,
                
        
    
        
        
        
            
            
                    Jian
                    Ma,
                
        
    
        
        
        
            
            
                    Minh
                    N Do,
                
        
    
        
        
        
            
            
                    Simon
                    Graham,
                
        
    
        
        
        
            
            
                    Quoc
                    Dang Vu,
                
        
    
        
        
        
            
            
                    Jin
                    Tae Kwak,
                
        
    
        
        
        
            
            
                    Akshaykumar
                    Gunda,
                
        
    
        
        
        
            
            
                    Raviteja
                    Chunduri,
                
        
    
        
        
        
            
            
                    Corey
                    Hu,
                
        
    
        
        
        
            
            
                    Xiaoyang
                    Zhou,
                
        
    
        
        
        
            
            
                    Dariush
                    Lotfi,
                
        
    
        
        
        
            
            
                    Reza
                    Safdari,
                
        
    
        
        
        
            
            
                    Antanas
                    Kascenas,
                
        
    
        
        
        
            
            
                    Alison
                    O’Neil,
                
        
    
        
        
        
            
            
                    Dennis
                    Eschweiler,
                
        
    
        
        
        
            
            
                    Johannes
                    Stegmaier,
                
        
    
        
        
        
            
            
                    Yanping
                    Cui,
                
        
    
        
        
        
            
            
                    Baocai
                    Yin,
                
        
    
        
        
        
            
            
                    Kailin
                    Chen,
                
        
    
        
        
        
            
            
                    Xinmei
                    Tian,
                
        
    
        
        
        
            
            
                    Philipp
                    Grüning,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Elad
                    Arbel,
                
        
    
        
        
        
            
            
                    Itay
                    Remer,
                
        
    
        
        
        
            
            
                    Amir
                    Ben-Dor,
                
        
    
        
        
        
            
            
                    Ekaterina
                    Sirazitdinova,
                
        
    
        
        
        
            
            
                    Matthias
                    Kohl,
                
        
    
        
        
        
            
            
                    Stefan
                    Braunewell,
                
        
    
        
        
        
            
            
                    Yuexiang
                    Li,
                
        
    
        
        
        
            
            
                    Xinpeng
                    Xie,
                
        
    
        
        
        
            
            
                    Linlin
                    Shen,
                
        
    
        
        
        
            
            
                    Jun
                    Ma,
                
        
    
        
        
        
            
            
                    Krishanu
                    Das Baksi,
                
        
    
        
        
        
            
            
                    Mohammad
                    Azam Khan,
                
        
    
        
        
        
            
            
                    Jaegul
                    Choo,
                
        
    
        
        
        
            
            
                    Adrián
                    Colomer,
                
        
    
        
        
        
            
            
                    Valery
                    Naranjo,
                
        
    
        
        
        
            
            
                    Linmin
                    Pei,
                
        
    
        
        
        
            
            
                    Khan
                    M Iftekharuddin,
                
        
    
        
        
        
            
            
                    Kaushiki
                    Roy,
                
        
    
        
        
        
            
            
                    Debotosh
                    Bhattacharjee,
                
        
    
        
        
        
            
            
                    Anibal
                    Pedraza,
                
        
    
        
        
        
            
            
                    Maria
                    Gloria Bueno,
                
        
    
        
        
        
            
            
                    Sabarinathan
                    Devanathan,
                
        
    
        
        
        
            
            
                    Saravanan
                    Radhakrishnan,
                
        
    
        
        
        
            
            
                    Praveen
                    Koduganty,
                
        
    
        
        
        
            
            
                    Zihan
                    Wu,
                
        
    
        
        
        
            
            
                    Guanyu
                    Cai,
                
        
    
        
        
        
            
            
                    Xiaojie
                    Liu,
                
        
    
        
        
        
            
            
                    Yuqin
                    Wang, and
                
        
    
        
        
        
            
            
                    Amit
                    Sethi,
                
        
    
A multi-organ nucleus segmentation challenge, IEEE transactions on medical imaging , vol. 39, no. 5, pp. 1380--1391, 2019. IEEE.
A multi-organ nucleus segmentation challenge, IEEE transactions on medical imaging , vol. 39, no. 5, pp. 1380--1391, 2019. IEEE.
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition, sensors , vol. 19, no. 19, pp. 4139, 2019. Multidisciplinary Digital Publishing Institute.
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition, sensors , vol. 19, no. 19, pp. 4139, 2019. Multidisciplinary Digital Publishing Institute.
| Datei: | |
| Bibtex: | @article{AlLiBaMa19,
author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
title = {Ensembles of {D}eep {L}earning {M}odels and {T}ransfer {L}earning for {E}ar {R}ecognition},
journal = {sensors},
volume={19},
number={19},
pages={4139},
year={2019},
publisher={Multidisciplinary Digital Publishing Institute},
url = {https://www.mdpi.com/1424-8220/19/19/4139},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/AlLiBaMa19.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hammam
                    Alshazly,
                
        
    
        
        
        
            
            
                    Christoph
                    Linse,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Handcrafted versus CNN Features for Ear Recognition, Symmetry , vol. 11, no. 12, pp. 1493, 2019.
Handcrafted versus CNN Features for Ear Recognition, Symmetry , vol. 11, no. 12, pp. 1493, 2019.
| Datei: | |
| Bibtex: | @article{AlLiBaMa19a,
  title={{Handcrafted versus CNN Features for Ear Recognition}},
  author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
  journal={Symmetry},
  volume={11},
  number={12},
  pages={1493},
  year={2019},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/AlLiBaMa19a.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Marius
                Jahrens, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Multi-layer Relation Networks for relational reasoning, in APPIS '19 - Proceedings of the 2nd International Conference on Applications of Intelligent Systems , ACM New York, NY, USA, 2019.
Multi-layer Relation Networks for relational reasoning, in APPIS '19 - Proceedings of the 2nd International Conference on Applications of Intelligent Systems , ACM New York, NY, USA, 2019.
| DOI: | 10.1145/3309772.3309782 | 
| Datei: | |
| Bibtex: | @inproceedings{JaMa19,
author = {Marius Jahrens and Thomas Martinetz},
title = {Multi-layer {R}elation {N}etworks for relational reasoning},
booktitle = {APPIS '19 - Proceedings of the 2nd International Conference on Applications of Intelligent Systems},
misc = {Article No. 10},
publisher = {ACM New York, NY, USA},
year = {2019},
doi = {10.1145/3309772.3309782},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/JaMa19.pdf}
}
 | 
2018
        
    
    
    
        
        
        
            
            
                    Stanislau
                    Semeniuta,
                
        
    
        
        
        
            
            
                    Aliaksei
                    Severyn, and
                
        
    
        
        
        
            
            
                    Sylvain
                    Gelly,
                
        
    
On Accurate Evaluation of GANs for Language Generation, TFAGDM ICML workshop , 2018.
On Accurate Evaluation of GANs for Language Generation, TFAGDM ICML workshop , 2018.
        
    
    
    
        
        
            
                Regine
                Geyer, and
            
            
        
        
    
        
        
            
            
                Amir
                Madany Mamlouk,
            
        
        
    
On the efficiency of the genetic code after frameshift mutations, PeerJ , vol. 6, pp. e4825, 2018.
On the efficiency of the genetic code after frameshift mutations, PeerJ , vol. 6, pp. e4825, 2018.
| DOI: | 10.7717/peerj.4825 | 
| Datei: | peerj.4825 | 
| Bibtex: | @article{GeMa2018,
  author = {Geyer, Regine and Madany Mamlouk, Amir},
  journal = {PeerJ},
  pages = {e4825},
  title = {On the efficiency of the genetic code after frameshift mutations},
  volume = 6,
  year = 2018,
  doi = {10.7717/peerj.4825},
  url = {https://doi.org/10.7717/peerj.4825}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Christian
                    Lucas,
                
        
    
        
        
        
            
            
                    André
                    Kemmling,
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk, and
                
        
    
        
        
        
            
            
                    Mattias P.
                    Heinrich,
                
        
    
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images, in 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018 , 2018. pp. 1118--1121.
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images, in 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018 , 2018. pp. 1118--1121.
| DOI: | 10.1109/ISBI.2018.8363767 | 
| Datei: | ISBI.2018.8363767 | 
| Bibtex: | @inproceedings{LuKeMaHe2018,
  author = {Lucas, Christian and Kemmling, Andr{\'{e}} Kemmling and Madany Mamlouk, Amir and Heinrich, Mattias P.},
  title     = {Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images},
  booktitle = {15th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2018, Washington, DC, USA, April 4-7, 2018},
  pages     = {1118--1121},
  year      = {2018},
  crossref  = {DBLP:conf/isbi/2018},
  doi       = {10.1109/ISBI.2018.8363767},
  url       = {https://doi.org/10.1109/ISBI.2018.8363767}
}
 | 
        
    
    
    
        
        
        
            
            
                    Norman
                    Scheel,
                
        
    
        
        
        
            
            
                    Eric
                    Franke,
                
        
    
        
        
        
            
            
                    Thomas F.
                    Münte, and
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
Dimensional Complexity of the Resting Brain in Healthy Aging, Using a Normalized MPSE, Frontiers in Human Neuroscience , vol. 12, pp. 451, 2018.
Dimensional Complexity of the Resting Brain in Healthy Aging, Using a Normalized MPSE, Frontiers in Human Neuroscience , vol. 12, pp. 451, 2018.
| DOI: | 10.3389/fnhum.2018.00451 | 
| Datei: | fnhum.2018.00451 | 
| Bibtex: | @article{ScFrMuMa2018,
  author = {Scheel, Norman and Franke, Eric and M{\"u}nte, Thomas F. and Madany Mamlouk, Amir},
  title = {{D}imensional {C}omplexity of the {R}esting {B}rain in {H}ealthy {A}ging, {U}sing a {N}ormalized MPSE},
  journal = {Frontiers in Human Neuroscience},
  volume = {12},
  year = {2018},
  pages = {451},
  doi = {10.3389/fnhum.2018.00451},
  url = {https://doi.org/10.3389/fnhum.2018.00451}
}   
 | 
        
    
    
    
        
        
        
            
            
                    Christian
                    Lucas,
                
        
    
        
        
        
            
            
                    André
                    Kemmling,
                
        
    
        
        
        
            
            
                    Nassim
                    Bouteldja,
                
        
    
        
        
        
            
            
                    Linda F.
                    Aulmann,
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk, and
                
        
    
        
        
        
            
            
                    Mattias P.
                    Heinrich,
                
        
    
Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations, Frontiers in Neurology , vol. 9, pp. 989, 2018.
Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations, Frontiers in Neurology , vol. 9, pp. 989, 2018.
| DOI: | 10.3389/fneur.2018.00989 | 
| Datei: | fneur.2018.00989 | 
| Bibtex: | @article{LuKeBoAuMaHe2018,
  author = {Lucas, Christian and Kemmling, Andr{\'{e}} and Bouteldja, Nassim and Aulmann, Linda F. and Madany Mamlouk, Amir and Heinrich, Mattias P.},
  title = {Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations},
  journal = {Frontiers in Neurology},
  volume = 9,
  pages = {989},
  year = {2018},
  doi = {10.3389/fneur.2018.00989},
  url = {https://doi.org/10.3389/fneur.2018.00989}
}
 | 
2017
        
    
    
    
        
        
        
            
            
                    Huy
                    Phan,
                
        
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Marco
                    Maass,
                
        
    
        
        
        
            
            
                    Philipp
                    Koch,
                
        
    
        
        
        
            
            
                    Radoslaw
                    Mazur, and
                
        
    
        
        
        
            
            
                    Alfred
                    Mertins,
                
        
    
Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks, IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP) , vol. 25, no. 6, pp. 1278-1290, 06 2017.
Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks, IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP) , vol. 25, no. 6, pp. 1278-1290, 06 2017.
| Datei: | |
| Bibtex: | @article{PhHeMaKoMaMe17,
author = {Huy Phan and Lars Hertel and Marco Maass and Philipp Koch and Radoslaw Mazur and Alfred Mertins},
title = {{I}mproved {A}udio {S}cene {C}lassification {B}ased on {L}abel-{T}ree {E}mbeddings and {C}onvolutional {N}eural {N}etworks},
journal = {IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP)},
volume = {25},
number = {6},
pages = {1278-1290},
month = {06},
year = {2017},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PhHeMaKoMaMe17.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Huy
                    Phan,
                
        
    
        
        
        
            
            
                    Philipp
                    Koch,
                
        
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Marco
                    Maass,
                
        
    
        
        
        
            
            
                    Radoslaw
                    Mazur, and
                
        
    
        
        
        
            
            
                    Alfred
                    Mertins,
                
        
    
CNN-LTE: A Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Classification, in Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP) , New Orleans , 032017.
CNN-LTE: A Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Classification, in Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP) , New Orleans , 032017.
| Datei: | |
| Bibtex: | @inproceedings{PhKoHeMaMaMe17,
author = {Huy Phan and Philipp Koch and Lars Hertel and Marco Maass and Radoslaw Mazur and Alfred Mertins},
title = {{CNN}-{LTE}: {A} {C}lass of 1-{X} {P}ooling {C}onvolutional {N}eural {N}etworks on {L}abel {T}ree {E}mbeddings for {A}udio {S}cene {C}lassification},
booktitle = {Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP)},
address = {New Orleans},
month = {03},
year = {2017},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PhKoHeMaMaMe17.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Boris
                    Knyazew,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Recursive autoconvolution for unsupervised learning of convolutional neural networks, 2017. pp. 2486--2493.
Recursive autoconvolution for unsupervised learning of convolutional neural networks, 2017. pp. 2486--2493.
        
    
    
    
        
        
        
            
            
                    A.
                    Brachmann,
                
        
    
        
        
        
            
            
                    E.
                    Barth, and
                
        
    
        
        
        
            
            
                    C.
                    RedieS,
                
        
    
Using CNN features to better understand what makes visual artworks special, Frontiers in Psychologie 8 , pp. 830, 2017.
Using CNN features to better understand what makes visual artworks special, Frontiers in Psychologie 8 , pp. 830, 2017.
        
    
    
    
    
        
        
        
            
            
                    Irina
                    Burciu,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Sensing Forest for Pattern Recognition, in Advanced Concepts for Intelligent Vision Systems: 18th International Conference, ACIVS 2017 , Jacques Blanc-Talon and Rudi Penne and Wilfried Philips and Dan Popescu and Paul Scheunders, Eds. Springer, 2017. pp. 126--137.
Sensing Forest for Pattern Recognition, in Advanced Concepts for Intelligent Vision Systems: 18th International Conference, ACIVS 2017 , Jacques Blanc-Talon and Rudi Penne and Wilfried Philips and Dan Popescu and Paul Scheunders, Eds. Springer, 2017. pp. 126--137.
| Datei: | 978-3-319-70353-4_11 | 
| Bibtex: | @inproceedings{BuMaBa17,
author= {Irina Burciu and Thomas Martinetz and Erhardt Barth},
editor= {Jacques Blanc-Talon and Rudi Penne and Wilfried Philips and Dan Popescu and Paul Scheunders},
title = {Sensing {F}orest for {P}attern {R}ecognition},
booktitle = {Advanced Concepts for Intelligent Vision Systems: 18th International Conference, {ACIVS} 2017},
series = {Lecture Notes in Computer Science},
volume = {10617},
year = {2017},
publisher = {Springer},
pages = {126--137},
url = {https://link.springer.com/chapter/10.1007/978-3-319-70353-4_11}
}
 | 
        
    
    
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
        
        
        
            
            
                    Martin
                    Haker, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Perception Space Analysis: From color vision to odor perception, International Joint Conference on Neural Networks (IJCNN) , pp. 689--696, 2017.
Perception Space Analysis: From color vision to odor perception, International Joint Conference on Neural Networks (IJCNN) , pp. 689--696, 2017.
| DOI: | 10.1109/IJCNN.2017.7965919 | 
| Datei: | IJCNN.2017.7965919 | 
| Bibtex: | @article{MaHaMa2017,
  author      = {Madany Mamlouk, Amir and Haker, Martin and Martinetz, Thomas},
  title       = {Perception Space Analysis: From color vision to odor perception},
  journal = {International Joint Conference on Neural Networks (IJCNN)},
   year   = {2017},
  pages = {689--696},
  doi = {10.1109/IJCNN.2017.7965919},
  url = {https://doi.org/10.1109/IJCNN.2017.7965919}
}
 | 
        
    
    
    
    
        
        
            
                Hans G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Industrial Society's Natural Future, 2017.
Industrial Society's Natural Future, 2017.
| Datei: | |
| Bibtex: | @unpublished{DaMa17,
author = {Hans G. Danielmeyer and Thomas Martinetz},
title = {Industrial {S}ociety's {N}atural {F}uture},
note = {To be published in the Springer Encyclopedia of Complexity and Systens Science.},
year = {2017},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa17.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    J.
                    Niemeijer,
                
        
    
        
        
        
            
            
                    P. Pekezou
                    Fouopi,
                
        
    
        
        
        
            
            
                    S.
                    Knake-Langhorst, and
                
        
    
        
        
        
            
            
                    E.
                    Barth,
                
        
    
A Review of Neural Network based Semantic Segmentation for Scene Understanding in Context of the self driving Car, 2017.
A Review of Neural Network based Semantic Segmentation for Scene Understanding in Context of the self driving Car, 2017.
        
    
    
    
    
        
        
        
            
            
                    Stanislau
                    Semeniuta,
                
        
    
        
        
        
            
            
                    Aliaksei
                    Severyn, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A Hybrid Convolutional Variational Autoencoder for Text Generation, in EMNLP , Association for Computational Linguistics, 2017. pp. 627--637.
A Hybrid Convolutional Variational Autoencoder for Text Generation, in EMNLP , Association for Computational Linguistics, 2017. pp. 627--637.
2016
        
    
    
    
    
        
        
        
            
            
                    Huy
                    Phan,
                
        
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Marco
                    Maass, and
                
        
    
        
        
        
            
            
                    Alfred
                    Mertins,
                
        
    
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks, in Proc. 17th Ann. Conf. Int. Speech Communication Association (INTERSPEECH) , San Francisco , 092016.
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks, in Proc. 17th Ann. Conf. Int. Speech Communication Association (INTERSPEECH) , San Francisco , 092016.
| Datei: | |
| Bibtex: | @inproceedings{PhHeMaMe16,
author = {Huy Phan and Lars Hertel and Marco Maass and Alfred Mertins},
title = {Robust {A}udio {E}vent {R}ecognition with 1-{M}ax {P}ooling {C}onvolutional {N}eural {N}etworks},
booktitle = {Proc. 17th Ann. Conf. Int. Speech Communication Association (INTERSPEECH)},
address = {San Francisco},
month = {09},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PhHeMaMe16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Henry
                    Schütze,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Learning Efficient Data Representations with Orthogonal Sparse Coding, IEEE Transactions on Computational Imaging , vol. 2, no. 3, pp. 177--189, 09 2016.
Learning Efficient Data Representations with Orthogonal Sparse Coding, IEEE Transactions on Computational Imaging , vol. 2, no. 3, pp. 177--189, 09 2016.
| DOI: | 10.1109/TCI.2016.2557065 | 
| Datei: | |
| Bibtex: | @article{ScBaMa16,
author = {Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title = {{L}earning {E}fficient {D}ata {R}epresentations with {O}rthogonal {S}parse {C}oding},
journal = {IEEE Transactions on Computational Imaging},
volume = {2},
number = {3},
month = {09},
pages = {177--189},
ISSN = {2333-9403},
year = {2016},
doi = {10.1109/TCI.2016.2557065},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Huy
                    Phan,
                
        
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Marco
                    Maass,
                
        
    
        
        
        
            
            
                    Radoslaw
                    Mazur, and
                
        
    
        
        
        
            
            
                    Alfred
                    Mertins,
                
        
    
Learning Representations for Nonspeech Audio Events through Their Similarities to Speech Patterns, IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP) , vol. 24, no. 4, pp. 807--822, 04 2016.
Learning Representations for Nonspeech Audio Events through Their Similarities to Speech Patterns, IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP) , vol. 24, no. 4, pp. 807--822, 04 2016.
| Datei: | |
| Bibtex: | @article{PhHeMaMaMe16,
author = {Huy Phan and Lars Hertel and Marco Maass and Radoslaw Mazur and Alfred Mertins},
title = {Learning {R}epresentations for {N}onspeech {A}udio {E}vents through {T}heir {S}imilarities to {S}peech {P}atterns},
journal = {IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP)},
volume = {24},
number = {4},
pages = {807--822},
month = {04},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PhHeMaMaMe16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle,
                
        
    
        
        
        
            
            
                    Friederike
                    Werner,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
Timing matters: open-loop stimulation does not improve overnight consolidation of word pairs in humans, European Journal of Neuroscience , vol. 44, pp. 2357--2368, 2016.
Timing matters: open-loop stimulation does not improve overnight consolidation of word pairs in humans, European Journal of Neuroscience , vol. 44, pp. 2357--2368, 2016.
| Datei: | |
| Bibtex: | @article{WeMoWeMaMa16,
author = {Arne Weigenand and Matthias M{\"o}lle and Friederike Werner and Thomas Martinetz and Lisa Marshall},
title = {Timing matters: open-loop stimulation does not improve overnight consolidation of word pairs in humans},
journal = {European Journal of Neuroscience},
volume = {44},
pages = {2357--2368},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/WeMoWeMaMa16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Katrin
                    Lämmermann,
                
        
    
        
        
        
            
            
                    Heiko
                    Vogel, and
                
        
    
        
        
        
            
            
                    Walther
                    Traut,
                
        
    
The mitochondrial genome of the Mediterranean flour moth, Ephestia kuehniella (Lepidoptera: Pyralidae), and identification of invading mitochondrial sequences (numts) in the W chromosome, European Journal of Entomology , vol. 113, pp. 482--488, 2016.
The mitochondrial genome of the Mediterranean flour moth, Ephestia kuehniella (Lepidoptera: Pyralidae), and identification of invading mitochondrial sequences (numts) in the W chromosome, European Journal of Entomology , vol. 113, pp. 482--488, 2016.
| DOI: | 10.14411/eje.2016.063 | 
| Datei: | |
| Bibtex: | @article{LaVoTr16,
author = {Katrin L{\"a}mmermann and Heiko Vogel and Walther Traut},
title = {The mitochondrial genome of the {M}editerranean flour moth, {E}phestia kuehniella ({L}epidoptera: {P}yralidae), and identification of invading mitochondrial sequences (numts) in the {W} chromosone.},
journal = {European Journal of Entomology},
volume = {113},
pages = {482--488},
year = {2016},
doi = {10.14411/eje.2016.063},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaVoTr16.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Hans G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
The industrial society's intrinsic dynamics, 2016.
The industrial society's intrinsic dynamics, 2016.
| Datei: | |
| Bibtex: | @unpublished{DaMa16,
author = {Hans G. Danielmeyer and Thomas Martinetz},
title = {The industrial society's intrinsic dynamics},
note = {Abstract},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa16.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Stanislau
                    Semeniuta,
                
        
    
        
        
        
            
            
                    Aliaksei
                    Severyn, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Recurrent Dropout without Memory Loss, in COLING , ACL, 2016. pp. 1757--1766.
Recurrent Dropout without Memory Loss, in COLING , ACL, 2016. pp. 1757--1766.
        
    
    
    
        
        
        
            
            
                    Michael
                    Schellenberger Costa,
                
        
    
        
        
        
            
            
                    Jan
                    Born,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Modeling the effect of sleep regulation on a neural mass model, Journal of Computational Neuroscience , vol. 41, no. 1, pp. 15--28, 2016.
Modeling the effect of sleep regulation on a neural mass model, Journal of Computational Neuroscience , vol. 41, no. 1, pp. 15--28, 2016.
| DOI: | 10.1007/s10827-016-0602-z | 
| Datei: | |
| Bibtex: | @article{ScBoClMa16,
author = {Schellenberger Costa, Michael and Jan Born and Jens Christian Claussen and Thomas Martinetz},
title = {{Modeling the effect of sleep regulation on a neural mass model}},
journal = {Journal of Computational Neuroscience},
volume = {41},
number = {1},
pages = {15--28},
year = {2016},
issn={1573-6873},
doi={10.1007/s10827-016-0602-z},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBoClMa16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Oscar
                    Maier,
                
        
    
        
        
        
            
            
                    Christoph
                    Schröder,
                
        
    
        
        
        
            
            
                    Nils Daniel
                    Forkert,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Heinz
                    Handels,
                
        
    
Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study, PloS one , vol. 11, no. 2, pp. e0149828, 2016. Public Library of Science.
Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study, PloS one , vol. 11, no. 2, pp. e0149828, 2016. Public Library of Science.
| Datei: | |
| Bibtex: | @article{MaScFoMaHa16,
author = {Maier, Oscar and Schr{\"o}der, Christoph and Forkert, Nils Daniel and Martinetz, Thomas and Handels, Heinz},
title = {Correction: {C}lassifiers for {I}schemic {S}troke {L}esion {S}egmentation: {A} {C}omparison {S}tudy},
publisher = {Public Library of Science},
journal = {PloS one},
volume = {11},
number = {2},
pages = {e0149828},
year = {2016},
url = {http://dx.doi.org/10.1371/journal.pone.0149828},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaScFoMaHa16.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Stanislau
                Semeniuta, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Image classification with recurrent attention models, in SSCI , IEEE, 2016. pp. 1--7.
Image classification with recurrent attention models, in SSCI , IEEE, 2016. pp. 1--7.
        
    
    
    
    
        
        
        
            
            
                    Irina
                    Burciu,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset, in Human Vision and Electronic Imaging, HVEI 2016 , 2016. pp. 1--10.
Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset, in Human Vision and Electronic Imaging, HVEI 2016 , 2016. pp. 1--10.
| Datei: | art00044 | 
| Bibtex: | @inproceedings{BuMaBa16a,
author= {Irina Burciu and Thomas Martinetz and Erhardt Barth},
title = {Hierarchical {M}anifold {S}ensing with {F}oveation and {A}daptive {P}artitioning of the {D}ataset},
booktitle = {Human Vision and Electronic Imaging, {HVEI} 2016},
pages = {1--10},
year = {2016},
url = {http://ist.publisher.ingentaconnect.com/contentone/ist/ei/2016/00002016/00000016/art00044}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Lars
                    Hertel,
                
        
    
        
        
        
            
            
                    Huy
                    Phan, and
                
        
    
        
        
        
            
            
                    Alfred
                    Mertins,
                
        
    
Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning, in Proc. 2016 IEEE International Joint Conference on Neural Networks (IJCNN) , Vancouver, Canada , 2016.
Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning, in Proc. 2016 IEEE International Joint Conference on Neural Networks (IJCNN) , Vancouver, Canada , 2016.
| Datei: | |
| Bibtex: | @inproceedings{HePhMe16,
author = {Lars Hertel and Huy Phan and Alfred Mertins},
title = {Comparing {T}ime and {F}requency {D}omain for {A}udio {E}vent {R}ecognition {U}sing {D}eep {L}earning},
booktitle = {Proc. 2016 {IEEE} International Joint Conference on Neural Networks (IJCNN)},
address = {Vancouver, Canada},
owner = {Hertel},
year = {2016},
timestamp = {2017.10.09},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HePhMe16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Boris
                    Knyazew,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Autoconvolution for Unsupervised Feature Learning, arXiv: 1606.00611v1 [cs.CV] , 2016.
Autoconvolution for Unsupervised Feature Learning, arXiv: 1606.00611v1 [cs.CV] , 2016.
| Datei: | |
| Bibtex: | @article{KnBaMa16,
author = {Boris Knyazew and Erhardt Barth and Thomas Martinetz},
title = {Autoconvolution for {U}nsupervised {F}eature {L}earning}, 
journal = {arXiv:1606.00611v1 [cs.CV]},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KnBaMa16.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Michael
                    Schellenberger Costa,
                
        
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
        
        
        
            
            
                    Jan
                    Born,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation, PloS computational Biology , vol. 12, no. 9, pp. e1005022, 2016.
A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation, PloS computational Biology , vol. 12, no. 9, pp. e1005022, 2016.
| Datei: | |
| Bibtex: | @article{ScWeNgMaBoMaCl16,
author = {Schellenberger Costa, Michael and Arne Weigenand and Ngo, Hong-Viet V. and Lisa Marshall and Jan Born and Thomas Martinetz and Jens Christian Claussen},
title = {{A} {T}halamocortical {N}eural {M}ass {M}odel of the {EEG} during {NREM} {S}leep and {I}ts {R}esponse to {A}uditory {S}timulation},
journal = {PloS computational Biology},
volume = {12},
number = {9},
pages = {e1005022},
year = {2016},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScWeNgMaBoMaCl16.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Michael
                    Schellenberger Costa,
                
        
    
        
        
        
            
            
                    Hong-Viet
                    Ngo,
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle,
                
        
    
        
        
        
            
            
                    Lisa
                    Marshall,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
A thalamocortical neural mass model of evoked potentials during NREM sleep, in Cosyne Abstracts 2016, Salt Lake City USA , 2016.
A thalamocortical neural mass model of evoked potentials during NREM sleep, in Cosyne Abstracts 2016, Salt Lake City USA , 2016.
2015
        
    
    
    
    
        
        
        
            
            
                    Henry
                    Schütze,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
| Datei: | |
| Bibtex: | @inproceedings{ScBaMa15,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title={{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization},
booktitle = {IJCNN 2015 Conference Proceedings},
series = {The International Joint Conference on Neural Networks},
year = {2015},
pages = {15540:1--8},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa15.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Foti
                    Coleca,
                
        
    
        
        
        
            
            
                    Andreea
                    State,
                
        
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Self-organizing maps for hand and full body tracking, Neurocomputing , vol. 147, pp. 174--184, 2015. Elsevier.
Self-organizing maps for hand and full body tracking, Neurocomputing , vol. 147, pp. 174--184, 2015. Elsevier.
| DOI: | http://dx.doi.org/10.1016/j.neucom.2013.10.041 | 
| Datei: | |
| Bibtex: | @article{CoStKlBaMa15,
author = {Foti Coleca and Andreea State and Sascha Klement and Erhardt Barth and Thomas Martinetz},
title = {Self-organizing maps for hand and full body tracking},
journal = {Neurocomputing},
year = {2015},
note = {Advances in Self-Organizing Maps Subtitle of the special issue: Selected Papers from the Workshop on Self-Organizing Maps 2012 (WSOM 2012)},
volume = {147},
pages = {174--184},
publisher = {Elsevier},
doi = {http://dx.doi.org/10.1016/j.neucom.2013.10.041},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoStKlBaMa15.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Norman
                    Scheel,
                
        
    
        
        
        
            
            
                    Andrea
                    Esswanger,
                
        
    
        
        
        
            
            
                    Thomas F.
                    Münte,
                
        
    
        
        
        
            
            
                    Marcus
                    Heldmann,
                
        
    
        
        
        
            
            
                    Ulrike M.
                    Krämer, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity, Bildverarbeitung für die Medizin, Informatik aktuell , pp. 371--376, 2015.
Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity, Bildverarbeitung für die Medizin, Informatik aktuell , pp. 371--376, 2015.
        
    
    
    
        
        
        
            
            
                    Norman
                    Scheel,
                
        
    
        
        
        
            
            
                    Andrea
                    Essenwanger,
                
        
    
        
        
        
            
            
                    Thomas F.
                    Münte,
                
        
    
        
        
        
            
            
                    Marcus
                    Heldmann,
                
        
    
        
        
        
            
            
                    Ulrike
                    Krämer, and
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
On the Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity, Bildverarbeitung für die Medizin (BVM 2015), Informatik aktuell , pp. 371--376, 2015.
On the Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity, Bildverarbeitung für die Medizin (BVM 2015), Informatik aktuell , pp. 371--376, 2015.
        
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Maximum Distance Minimization for Feature Weighting, Pattern Recognition Letters , vol. 52, pp. 48--52, 2015.
Maximum Distance Minimization for Feature Weighting, Pattern Recognition Letters , vol. 52, pp. 48--52, 2015.
| Datei: | |
| Bibtex: | @article{HoMa15a,
author = {Hocke, Jens and Martinetz, Thomas},
title = {Maximum {D}istance {M}inimization for {F}eature {W}eighting},
journal = {Pattern Recognition Letters},
volume = {52},
pages = {48--52},
year = {2015},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa15a.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Learning Transformation Invariance from Global to Local, in Workshop New Challenges in Neural Computation 2015 , Barbara Hammer and Thomas Villmann, Eds. 2015. pp. 16--24.
Learning Transformation Invariance from Global to Local, in Workshop New Challenges in Neural Computation 2015 , Barbara Hammer and Thomas Villmann, Eds. 2015. pp. 16--24.
| Datei: | |
| Bibtex: | @inproceedings{HoMa15,
author= {Jens Hocke and Thomas Martinetz},
title = {{L}earning {T}ransformation {I}nvariance from {G}lobal to {L}ocal},
booktitle = {Workshop New Challenges in Neural Computation 2015},
editor = {Barbara Hammer and Thomas Villmann},
series={Machine Learning Reports},
volume = {03},
year = {2015},
pages = {16--24},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa15.pdf}
}
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                    Simon
                    Dornseifer,
                
        
    
        
        
        
            
            
                    Sarah
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                    Rosel
                    Kretschmer-Kazemi Far,
                
        
    
        
        
        
            
            
                    Janine
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                    Foteini
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                    Kirsten
                    Frank,
                
        
    
        
        
        
            
            
                    Sandra D.
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                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Georg
                    Sczakiel,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Tobias
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RNAi revised-target mRNA-dependent enhancement of gene silencing, Nucleic acids research , vol. 43, no. 22, pp. 10623--10632, 2015.
RNAi revised-target mRNA-dependent enhancement of gene silencing, Nucleic acids research , vol. 43, no. 22, pp. 10623--10632, 2015.
| DOI: | http://dx.doi.org/10.1093/nar/gkv1200 | 
| Datei: | 10623.full | 
| Bibtex: | @article{DoWiKrLiBeFrLaMaScClRe16,
author = {Simon Dornseifer and Sarah Willkomm and Kretschmer-Kazemi Far, Rosel and Janine Liebschwager and Foteini Beltsiou and Kirsten Frank and Sandra D. Laufer and Thomas Martinetz and Georg Sczakiel and Jens Christian Claussen and Tobias Restle},
title = {{RNAi} revised-target {mRNA}-dependent enhancement of gene silencing},
journal = {Nucleic acids research},
volume = {43},
number = {22},
pages = {10623--10632},
year = {2015},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoWiKrLiBeFrLaMaScClRe16.pdf},
url = {http://nar.oxfordjournals.org/content/43/22/10623.full},
doi = {http://dx.doi.org/10.1093/nar/gkv1200}
}
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                    Irina
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                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Foveated Manifold Sensing for object recognition, in IEEE International Black Sea Conference on Communications and Networking , 2015. pp. 196--200.
Foveated Manifold Sensing for object recognition, in IEEE International Black Sea Conference on Communications and Networking , 2015. pp. 196--200.
| Datei: | BlackSeaCom.2015.7185114 | 
| Bibtex: | @inproceedings{BuMaBa15,
author = {Irina Burciu and Thomas Martinetz and Erhardt Barth},
title = {Foveated {M}anifold {S}ensing for object recognition},
booktitle = {IEEE International Black Sea Conference on Communications and Networking},
pages = {196--200},
year = {2015},
url = {http://dx.doi.org/10.1109/BlackSeaCom.2015.7185114}
}
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EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics, Lupus , vol. 24, no. 4--5, pp. 516--529, 2015.
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                    Ngo,
                
        
    
        
        
        
            
            
                    Arjan
                    Miedema,
                
        
    
        
        
        
            
            
                    Isabel
                    Faude,
                
        
    
        
        
        
            
            
                    Thomas
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Driving Sleep Slow Oscillations by Auditory Closed-Loop Stimulation - A Self-Limiting Process, The Journal of Neuroscience , vol. 35, no. 17, pp. 6630--6638, 2015.
| Datei: | |
| Bibtex: | @article{NgMiFaMaMoBo15,
author = {Ngo, Hong-Viet V. and Miedema, Arjan and Faude, Isabel and Martinetz, Thomas and M{\"o}lle, Matthias and Born, Jan},
title = {Driving {S}leep {S}low {O}scillations by {A}uditory {C}losed-{L}oop {S}timulation - {A} {S}elf-{L}imiting {P}rocess},
journal = {The Journal of Neuroscience},
volume = {35},
number = {17},
pages = {6630--6638},
year = {2015},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/NgMiFaMaMoBo15.pdf}
}
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                    Oscar
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                    Christoph
                    Schröder,
                
        
    
        
        
        
            
            
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                    Thomas
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                    Heinz
                    Handels,
                
        
    
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study, PloS one , vol. 10, no. 12, pp. e0145118, 2015. Public Library of Science.
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study, PloS one , vol. 10, no. 12, pp. e0145118, 2015. Public Library of Science.
| Datei: | |
| Bibtex: | @article{MaScFoMaHa15,
author = {Maier, Oscar and Schr{\"o}der, Christoph and Forkert, Nils Daniel and Martinetz, Thomas and Handels, Heinz},
title = {{C}lassifiers for {I}schemic {S}troke {L}esion {S}egmentation: {A} {C}omparison {S}tudy},
publisher = {Public Library of Science},
journal = {PloS one},
volume = {10},
number = {12},
pages = {e0145118},
year = {2015},
url = {http://dx.doi.org/10.1371/journal.pone.0145118},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaScFoMaHa15.pdf}
}
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Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing, in 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 3 , 2015. pp. 248--253.
| DOI: | 10.1109/Trustcom.2015.640 | 
| Datei: | Trustcom.2015.640 | 
| Bibtex: | @inproceedings{AsErGaGaMaMoSeSeToMaEnArCaMoBl15,
author = {Francesco Asnicar and Luca Erculiani and Francesca Galante and Caterina Gallo and Luca Masera and Paolo Morettin and Nadir Sella and Stanislau Semeniuta and Thomas Tolio and  Giulia Malacarne and Kristof Engelen and Andrea Argentini and Valter Cavecchia and Claudio Moser and Enrico Blanzieri},
title = {Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing},
booktitle = {2015 {IEEE} TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 3},
pages = {248--253},
year = {2015},
crossref = {DBLP:conf/trustcom/2015-3},
doi = {10.1109/Trustcom.2015.640},
url = {https://doi.org/10.1109/Trustcom.2015.640},
timestamp = {Thu, 15 Jun 2017 21:45:36 +0200}
}
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Deep Convolutional Neural Networks as Generic Feature Extractors, in Proc. 2015 IEEE International Joint Conference on Neural Networks (IJCNN) , Killarney, Ireland , 2015.
| Datei: | |
| Bibtex: | @inproceedings{HeBaKaMa15,
author = {Lars Hertel and Erhardt Barth and Thomas K{\"a}ster and Thomas Martinetz},
title = {Deep {C}onvolutional {N}eural {N}etworks as {G}eneric {F}eature {E}xtractors},
booktitle = {Proc. 2015 {IEEE} International Joint Conference on Neural Networks (IJCNN)},
address = {Killarney, Ireland},
owner = {Hertel},
year = {2015},
timestamp = {2015.05.13},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HeBaKaMa15.pdf}
}
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Facial expression recognition under a wide range of head poses, in 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015, Ljubljana, Slovenia, May 4-8, 2015 , 2015. pp. 1--7.
| DOI: | 10.1109/FG.2015.7163098 | 
| Datei: | FG.2015.7163098 | 
| Bibtex: | @inproceedings{ViTuSeSaSe15,
author = {Radu{-}Laurentiu Vieriu and Sergey Tulyakov and Stanislau Semeniuta and Enver Sangineto and Nicu Sebe},
title = {Facial expression recognition under a wide range of head poses},
booktitle = {11th {IEEE} International Conference and Workshops on Automatic Face and Gesture Recognition, {FG} 2015, Ljubljana, Slovenia, May 4-8, 2015},
pages = {1--7},
year = {2015},
crossref = {DBLP:conf/fgr/2015},
doi = {10.1109/FG.2015.7163098},
url = {https://doi.org/10.1109/FG.2015.7163098},
timestamp = {Sun, 21 May 2017 00:20:47 +0200}
}
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| DOI: | 10.1109/ICPR.2014.393 | 
| Datei: | ICPR.2014.393 | 
| Bibtex: | @inproceedings{TuViSeSe14,
author = {Sergey Tulyakov and Radu{-}Laurentiu Vieriu and Stanislau Semeniuta and Nicu Sebe},
title = {Robust Real-Time Extreme Head Pose Estimation},
booktitle = {22nd International Conference on Pattern Recognition, {ICPR} 2014, Stockholm, Sweden, August 24-28, 2014},
pages = {2263--2268},
year = {2014},
crossref = {DBLP:conf/icpr/2014},
doi = {10.1109/ICPR.2014.393},
url = {https://doi.org/10.1109/ICPR.2014.393},
timestamp = {Wed, 24 May 2017 08:30:43 +0200}
}
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Visual Manifold Sensing, in Human Vision and Electronic Imaging XIX , Proceedings of SPIE Electronic Imaging, 2014. pp. 48:1--8.
| Datei: | |
| Bibtex: | @inproceedings{BuMaMaBa14,
author = {Irina Burciu and Adrian Ion-Margineanu and Thomas Martinetz and Erhardt Barth},
title = {Visual {M}anifold {S}ensing}, booktitle = {Human Vision and Electronic Imaging XIX},
publisher = {Proceedings of SPIE Electronic Imaging},
volume = {9014},
pages = {48:1--8},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BuMaMaBa14.pdf}
}
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                    Mamlouk,
                
        
    
The Benchmark Data Set CeTReS.B-MI for in vitro Mitosis Detection, in IEEE International Symposium on Biomedical Imaging (ISBI'14) , 2014. pp. 469--472.
The Benchmark Data Set CeTReS.B-MI for in vitro Mitosis Detection, in IEEE International Symposium on Biomedical Imaging (ISBI'14) , 2014. pp. 469--472.
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Learning Transformation Invariance for Object Recognition, in Workshop New Challenges in Neural Computation 2014 , Barbara Hammer and Thomas Villmann, Eds. 2014. pp. 20--25.
Learning Transformation Invariance for Object Recognition, in Workshop New Challenges in Neural Computation 2014 , Barbara Hammer and Thomas Villmann, Eds. 2014. pp. 20--25.
| Datei: | |
| Bibtex: | @inproceedings{HoMa14b,
author= {Jens Hocke and Thomas Martinetz},
title = {{L}earning {T}ransformation {I}nvariance for {O}bject {R}ecognition},
booktitle = {Workshop New Challenges in Neural Computation 2014},
editor = {Barbara Hammer and Thomas Villmann},
series = {Machine Learning Reports},
volume = {02},
year = {2014},
pages = {20--25},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa14b.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Barbara
                    Hammer,
                
        
    
        
        
        
            
            
                    Haibo
                    He, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Learning and modelling big data, in ESANN 2014 Proceedings, European Symposium on Artificial Networks, Computational Intelligence and Machine learning. Bruges (Belgium, 23-25 April 2014) , 2014. pp. 343--352.
Learning and modelling big data, in ESANN 2014 Proceedings, European Symposium on Artificial Networks, Computational Intelligence and Machine learning. Bruges (Belgium, 23-25 April 2014) , 2014. pp. 343--352.
| Datei: | |
| Bibtex: | @inproceedings{HaHeMa14,
author = {Barbara Hammer and Haibo He and Thomas Martinetz},
title = {Learning and modelling big data},
booktitle = {ESANN 2014 Proceedings, European Symposium on Artificial Networks, Computational Intelligence and Machine learning. Bruges (Belgium, 23-25 April 2014},
pages = {343--352},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HaHeMa14.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Foti
                    Coleca,
                
        
    
        
        
        
            
            
                    Sabrina
                    Zirnovean,
                
        
    
        
        
        
            
            
                    Thomas
                    Käster,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Key-point Detection with Multi-layer Center-surround Inhibition, in Proceedings of the 9th International Conference on Computer Vision Theory and Applications , 2014. pp. 386--393.
Key-point Detection with Multi-layer Center-surround Inhibition, in Proceedings of the 9th International Conference on Computer Vision Theory and Applications , 2014. pp. 386--393.
| Datei: | |
| Bibtex: | @inproceedings{CoZiKaMaBa14,
author = {Foti Coleca and Sabrina Z{\^i}rnovean and Thomas K{\"a}ster and Thomas Martinetz and Erhardt Barth},
title = {Key-point Detection with Multi-layer Center-surround Inhibition},
booktitle = {Proceedings of the 9th International Conference on Computer Vision Theory and Applications},
pages = {386--393},
abstract = {We present a biologically inspired algorithm for key-point detection based on multi-layer and nonlinear centersurround inhibition. A Bag-of-Visual-Words framework is used to evaluate the performance of the detector on the Oxford III-T Pet Dataset for pet recognition. The results demonstrate an increased performance of our algorithm compared to the SIFT key-point detector. We further improve the recognition rate by separately training codebooks for the ON- and OFF-type key points. The results show that our key-point detection algorithms outperform the SIFT detector by having a lower recognition-error rate over a whole range of different key-point densities. Randomly selected key-points are also outperformed.},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoZiKaMaBa14.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Global Metric Learning by Gradient Descent, in Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings , Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova-Hristova and Sven Magg and Günther Palm and Alessandro E. P. Villa, Eds. Springer, 2014. pp. 129--135.
Global Metric Learning by Gradient Descent, in Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings , Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova-Hristova and Sven Magg and Günther Palm and Alessandro E. P. Villa, Eds. Springer, 2014. pp. 129--135.
| Datei: | |
| Bibtex: | @inproceedings{HoMa14,
author = {Jens Hocke and Thomas Martinetz},
title = {Global {M}etric {L}earning by {G}radient {D}escent},
editor = {Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova{-}Hristova and Sven Magg and G{\"{u}}nther Palm and Alessandro E. P. Villa},
booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {8681},
pages = {129--135},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa14.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Bogdan
                    Miclut,
                
        
    
        
        
        
            
            
                    Thomas
                    Käster,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhard
                    Barth,
                
        
    
Committees of deep feedforward networks trained with few data, arXiv:1406.5947v1[cs.CV] , 2014.
Committees of deep feedforward networks trained with few data, arXiv:1406.5947v1[cs.CV] , 2014.
| Datei: | |
| Bibtex: | @article{MiKaMaBa14,
author = {Bogdan Miclut and Thomas K{\"a}ster and Thomas Martinetz and Erhard Barth },
title = {Committees of deep feedforward networks trained with few data},
journal = {arXiv:1406.5947v1[cs.CV]},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MiKaMaBa14.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Michael
                    Schellenberger Costa,
                
        
    
        
        
        
            
            
                    Hong-Viet Victor
                    Ngo,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model, PLoS Computational Biology , vol. 10, pp. e1003923, 2014.
Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model, PLoS Computational Biology , vol. 10, pp. e1003923, 2014.
| DOI: | 10.1371/journal.pcbi.1003923 | 
| Datei: | |
| Bibtex: | @article{WeScNgClMa14,
author = {Arne Weigenand and Schellenberger Costa, Michael and Ngo, Hong-Viet Victor and Jens Christian Claussen and Thomas Martinetz},
title = {{Characterization of {K}-{C}omplexes and {S}low {W}ave {A}ctivity in a {N}eural {M}ass {M}odel}},
journal = {PLoS Computational Biology},
volume = {10},
pages = {e1003923},
year = {2014},
doi = {10.1371/journal.pcbi.1003923},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/WeScNgClMa14.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Henry
                    Schütze,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
An adaptive hierarchical sensing scheme for sparse signals, in Human Vision and Electronic Imaging XIX , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. 2014. pp. 15:1--8.
An adaptive hierarchical sensing scheme for sparse signals, in Human Vision and Electronic Imaging XIX , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. 2014. pp. 15:1--8.
| Datei: | |
| Bibtex: | @inproceedings{ScBaMa14,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title={An adaptive hierarchical sensing scheme for sparse signals},
booktitle = {Human Vision and Electronic Imaging XIX},
series = {Proc. of SPIE Electronic Imaging},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
volume = {9014},
pages = {15:1--8},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa14.pdf}
}
 | 
2013
        
    
    
    
    
        
        
        
            
            
                    Andreea
                    State,
                
        
    
        
        
        
            
            
                    Foti
                    Coleca,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Hand Tracking with an Extended Self-Organizing Map, in Advances in Self-Organizing Maps , Estévez, Pablo A. and Príncipe, José C. and Zegers, Pablo, Eds. Springer Berlin Heidelberg, 2013, pp. 115--124.
Hand Tracking with an Extended Self-Organizing Map, in Advances in Self-Organizing Maps , Estévez, Pablo A. and Príncipe, José C. and Zegers, Pablo, Eds. Springer Berlin Heidelberg, 2013, pp. 115--124.
| DOI: | 10.1007/978-3-642-35230-0_12 | 
| ISBN: | 978-3-642-35229-4 | 
| Datei: | |
| Bibtex: | @incollection{StCoBaMa13,
author = {Andreea State and Foti Coleca and Erhardt Barth and Thomas Martinetz},
title = {Hand {T}racking with an {E}xtended {S}elf-{O}rganizing {M}ap},
booktitle = {Advances in Self-Organizing Maps},
publisher = {Springer Berlin Heidelberg},
editor = {Est{\'e}vez, Pablo A. and Príncipe, Jos{\'e} C. and Zegers, Pablo},
volume = {198},
series = {Advances in Intelligent Systems and Computing},
pages = {115--124},
doi = {10.1007/978-3-642-35230-0_12},
isbn = {978-3-642-35229-4},
keywords = {hand skeleton tracking; self-organizing maps; kinect},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/StCoBaMa13.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Silke
                    Anders, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data, Neural Computation , vol. 25/6, pp. 1548--1584, 2013.
The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data, Neural Computation , vol. 25/6, pp. 1548--1584, 2013.
| Datei: | |
| Bibtex: | @article{KlAnMa13,
author = {Sascha Klement and Silke Anders and Thomas Martinetz},
title = {The {S}upport {V}ector {M}achine: {C}lassification with the {L}east {N}umber of {F}eatures and {A}pplication to {N}euroimaging {D}ata},
journal = {Neural Computation},
volume = {25/6},
pages = {1548--1584},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlAnMa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Horia
                    Coman,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Sparse Coding Neural Gas Applied to Image Recognition, in Advances in Self-Organizing Maps , Springer Berlin Heidelberg, 2013. pp. 105--114.
Sparse Coding Neural Gas Applied to Image Recognition, in Advances in Self-Organizing Maps , Springer Berlin Heidelberg, 2013. pp. 105--114.
        
    
    
    
    
        
        
        
            
            
                    Laura
                    Pomarjanschi,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Peter J.
                    Bex, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Simple gaze-contingent cues guide eye movements in a realistic driving simulator, in IS&T/SPIE Electronic Imaging , 2013. pp. 865110-865110-8.
Simple gaze-contingent cues guide eye movements in a realistic driving simulator, in IS&T/SPIE Electronic Imaging , 2013. pp. 865110-865110-8.
| Datei: | |
| Bibtex: | @inproceedings{PoDoBeBa13,
author = {Laura Pomarjanschi and Michael Dorr and Peter J. Bex and Erhardt Barth},
title = {Simple gaze-contingent cues guide eye movements in a realistic driving simulator},
booktitle = {IS&T/SPIE Electronic Imaging},
volume = {8651},
pages = {865110-865110-8},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PoDoBeBa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Foti
                    Coleca,
                
        
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Real-time skeleton tracking for embedded systems, in Mobile Computational Photography , Proceedings of SPIE, 2013.
Real-time skeleton tracking for embedded systems, in Mobile Computational Photography , Proceedings of SPIE, 2013.
| Datei: | |
| Bibtex: | @inproceedings{CoKlMaBa13,
author = {Foti Coleca and Sascha Klement and Thomas Martinetz and Erhardt Barth},
title = {Real-time skeleton tracking for embedded systems},
booktitle = {Mobile Computational Photography},
publisher = {Proceedings of SPIE},
year = {2013},
volume = {8667D},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoKlMaBa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Mike
                    Wellner,
                
        
    
        
        
        
            
            
                    Thomas
                    Käster,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Optimizing depth-of-field based on a range map and a wavelet transform, in Mobile Computational Photography , Proceedings of SPIE, 2013.
Optimizing depth-of-field based on a range map and a wavelet transform, in Mobile Computational Photography , Proceedings of SPIE, 2013.
| Datei: | |
| Bibtex: | @inproceedings{WeKaMaBa13,
author = {Mike Wellner and Thomas K{\"a}ster and Thomas Martinetz and Erhardt Barth},
title = {Optimizing depth-of-field based on a range map and a wavelet transform},
booktitle = {Mobile Computational Photography},
publisher = {Proceedings of SPIE},
year = {2013},
volume = {8667D},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/WeKaMaBa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Henry
                    Schütze,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Learning Orthogonal Bases for k-Sparse Representations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
Learning Orthogonal Bases for k-Sparse Representations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
| Datei: | |
| Bibtex: | @inproceedings{ScBaMa13,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title = {{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations},
booktitle = {Workshop New Challenges in Neural Computation 2013},
editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann},
series ={Machine Learning Reports},
volume = {02},
year = {2013},
pages = {119--120},
note = {Short Paper},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa13.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Kai-Uwe
                    Kalies,
                
        
    
        
        
        
            
            
                    Enno
                    Hartmann, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection, Journal of Theoretical Biology , vol. 317, pp. 377--383, 2013.
EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection, Journal of Theoretical Biology , vol. 317, pp. 377--383, 2013.
| Datei: | |
| Bibtex: | @article{KaPuKaHaMa13,
author = {Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Kai-Uwe Kalies and Enno Hartmann and Thomas Martinetz},
title = {Ecm{P}red: {P}rediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection},
journal = {Journal of {T}heoretical {B}iology},
volume = {317},
pages = {377--383},
year = {2013},
url = {http://www.sciencedirect.com/science/article/pii/S0022519312005486},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KaPuKaHaMa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Foti
                    Coleca,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Gesture Interfaces with Depth Sensors, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications , Springer Berlin Heidelberg, 2013. pp. 207--227.
Gesture Interfaces with Depth Sensors, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications , Springer Berlin Heidelberg, 2013. pp. 207--227.
| Datei: | |
| Bibtex: | @inproceedings{CoMaBa13,
author = {Foti Coleca and Thomas Martinetz and Erhardt Barth},
title = {{G}esture {I}nterfaces with {D}epth {S}ensors},
publisher = {Springer Berlin Heidelberg},
booktitle = {Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications},
series = {Lecture Notes in Computer Science},
volume = {8200},
pages = {207--227},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoMaBa13.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Eleonora
                    Vig, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Efficient image representations and features, in Human Vision and Electronic Imaging XVIII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas Huib de Ridder, Eds. 2013. pp. 86510R.
Efficient image representations and features, in Human Vision and Electronic Imaging XVIII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas Huib de Ridder, Eds. 2013. pp. 86510R.
| Datei: | |
| Bibtex: | @inproceedings{DoViBa13,
author = {Michael Dorr and Eleonora Vig and Erhardt Barth},
title = {Efficient image representations and features},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas Huib de Ridder},
booktitle = {Human Vision and Electronic Imaging XVIII},
series = {Proc. of SPIE-IS&T Electronic Imaging},
volume = {8651},
pages = {86510R},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoViBa13.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    N.
                    Hochstrate,
                
        
    
        
        
        
            
            
                    C.
                    Krause,
                
        
    
        
        
        
            
            
                    K.
                    Ens,
                
        
    
        
        
        
            
            
                    M.
                    Danckwardt,
                
        
    
        
        
        
            
            
                    C.
                    Feirer,
                
        
    
        
        
        
            
            
                    K.
                    Affeldt,
                
        
    
        
        
        
            
            
                    M.
                    Rateike,
                
        
    
        
        
        
            
            
                    M.
                    Morrin,
                
        
    
        
        
        
            
            
                    D.
                    Wuttig,
                
        
    
        
        
        
            
            
                    J.
                    Voigt,
                
        
    
        
        
        
            
            
                    K.
                    Fechner,
                
        
    
        
        
        
            
            
                    E.
                    Barth,
                
        
    
        
        
        
            
            
                    T.
                    Martinetz, and
                
        
    
        
        
        
            
            
                    W.
                    Stöcker,
                
        
    
Computer-aided immunofluorescence microscopy (CAIFM) for ANCA diagnostics, La Presse Medicale , vol. 42, no. 4, pp. 685, 2013. Elsevier Masson.
Computer-aided immunofluorescence microscopy (CAIFM) for ANCA diagnostics, La Presse Medicale , vol. 42, no. 4, pp. 685, 2013. Elsevier Masson.
        
    
    
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Jan
                    Born, and
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle,
                
        
    
Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory, Neuron , vol. 78, pp. 545--553, 2013.
Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory, Neuron , vol. 78, pp. 545--553, 2013.
| Datei: | |
| Bibtex: | @article{NgMaBoMo13,
author = {Ngo, Hong-Viet V. and Martinetz, Thomas and Born, Jan and M{\"o}lle, Matthias},
title = {Auditory {C}losed-{L}oop {S}timulation of the {S}leep {S}low {O}scillation {E}nhances {M}emory},
journal = {Neuron},
volume = {78},
pages = {545--553},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/NgMaBoMo13.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Application of Maximum Distance Minimization to Gene Expression Data, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 6--7.
Application of Maximum Distance Minimization to Gene Expression Data, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 6--7.
| Datei: | |
| Bibtex: | @inproceedings{HoMa13a,
author={Hocke, Jens and Martinetz, Thomas},
title = {{A}pplication of {M}aximum {D}istance {M}inimization to {G}ene {E}xpression {D}ata},
booktitle = {Workshop New Challenges in Neural Computation 2013},
editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann},
series ={Machine Learning Reports},
volume = {02},
pages = {6--7},
year = {2013},
note = {Short Paper},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa13a.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    N.
                    Hochstrate,
                
        
    
        
        
        
            
            
                    C.
                    Krause,
                
        
    
        
        
        
            
            
                    K.
                    Ens,
                
        
    
        
        
        
            
            
                    M.
                    Danckwardt,
                
        
    
        
        
        
            
            
                    C.
                    Feirer,
                
        
    
        
        
        
            
            
                    E.
                    Rohwäder,
                
        
    
        
        
        
            
            
                    M.
                    Hahn,
                
        
    
        
        
        
            
            
                    K.
                    Affeldt,
                
        
    
        
        
        
            
            
                    M.
                    Rateike,
                
        
    
        
        
        
            
            
                    M.
                    Morrin,
                
        
    
        
        
        
            
            
                    D.
                    Wuttig,
                
        
    
        
        
        
            
            
                    K.
                    Fechner,
                
        
    
        
        
        
            
            
                    E.
                    Barth,
                
        
    
        
        
        
            
            
                    W.
                    Stöcker,
                
        
    
        
        
        
            
            
                    T.
                    Martinetz, and
                
        
    
        
        
        
            
            
                    J.
                    Voigt,
                
        
    
ANA and ANCA diagnostics with computer-aided immunofluorescence microscopy (CAIFM), Zeitschrift für Rheumatologie , vol. 72, pp. 24, 2013. Springer Heidelberg.
ANA and ANCA diagnostics with computer-aided immunofluorescence microscopy (CAIFM), Zeitschrift für Rheumatologie , vol. 72, pp. 24, 2013. Springer Heidelberg.
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Feature Weighting by Maximum Distance Minimization, in Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings , Valeri Mladenov and Petia D. Koprinkova-Hristova and Günther Palm and Alessandro E. P. Villa and Bruno Appollini and Nikola Kasabov, Eds. Springer, 2013. pp. 420--425.
Feature Weighting by Maximum Distance Minimization, in Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings , Valeri Mladenov and Petia D. Koprinkova-Hristova and Günther Palm and Alessandro E. P. Villa and Bruno Appollini and Nikola Kasabov, Eds. Springer, 2013. pp. 420--425.
| Datei: | |
| Bibtex: | @inproceedings{HoMa13,
author = {Jens Hocke and Thomas Martinetz},
title = {Feature {W}eighting by {M}aximum {D}istance {M}inimization},
booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings},
editor = {Valeri Mladenov and Petia D. Koprinkova{-}Hristova and G{\"{u}}nther Palm and Alessandro E. P. Villa and Bruno Appollini and Nikola Kasabov},
pages = {420--425},
series = {Lecture Notes in Computer Science},
volume = {8131},
publisher = {Springer},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa13.pdf}
}
 | 
2012
        
    
    
    
        
        
            
                Hans G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Predicting economic growth with classical physics and human biology, arXiv:1212.1286 [q-fin.GN] , 2012.
Predicting economic growth with classical physics and human biology, arXiv:1212.1286 [q-fin.GN] , 2012.
| Datei: | |
| Bibtex: | @article{DaMa12a,
author = {Hans G. Danielmeyer and Thomas Martinetz},
title = {Predicting economic growth with classical physics and human biology},
journal = {arXiv:1212.1286 [q-fin.GN]},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa12a.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
        
        
        
            
            
                    Jan
                    Born, and
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle,
                
        
    
Induction of slow oscillations by rhythmic acoustic stimulation, Journal of Sleep Research , 2012.
Induction of slow oscillations by rhythmic acoustic stimulation, Journal of Sleep Research , 2012.
        
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 34, no. 6, pp. 1080--1091, 2012. IEEE.
Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 34, no. 6, pp. 1080--1091, 2012. IEEE.
| Datei: | |
| Bibtex: | @article{ViDoMaBa12,
author = {Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth},
title = {Intrinsic {D}imensionality {P}redicts the {S}aliency of {N}atural {D}ynamic {S}cenes},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
publisher = {IEEE},
issn = {0162-8828},
volume = {34},
number = {6},
pages = {1080--1091},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoMaBa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Felix
                    Njap,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
        
        
        
            
            
                    Andreas
                    Moser, and
                
        
    
        
        
        
            
            
                    Ulrich G.
                    Hofmann,
                
        
    
Modeling Effect of GABAergic Current in Basal Ganglia Computational Model, Cognitive Neurodynamics , vol. 6, no. 4, pp. 333--342, 2012.
Modeling Effect of GABAergic Current in Basal Ganglia Computational Model, Cognitive Neurodynamics , vol. 6, no. 4, pp. 333--342, 2012.
| Datei: | s11571-012-9203-3 | 
| Bibtex: | @article{NjClMoHo12,
author = {Felix Njap and Jens Christian Claussen and Andreas Moser and Ulrich G. Hofmann},
title = {Modeling Effect of GABAergic Current in Basal Ganglia Computational Model},
journal = {Cognitive Neurodynamics},
volume = {6},
number = {4},
pages = {333--342},
year = {2012},
url = {http://dx.doi.org/10.1007/s11571-012-9203-3}
}
 | 
        
    
    
    
        
        
            
                Fabian
                Timm, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Novelty Detection for the Inspection of Light-emitting Diodes, Expert Systems with Applications , vol. 39, no. 3, pp. 3413--3422, 2012.
Novelty Detection for the Inspection of Light-emitting Diodes, Expert Systems with Applications , vol. 39, no. 3, pp. 3413--3422, 2012.
| Datei: | j.eswa.2011.09.029 | 
| Bibtex: | @article{TiBa12,
author = {Fabian Timm and Erhardt Barth},
title = {Novelty {D}etection for the {I}nspection of {L}ight-emitting {D}iodes},
journal = {Expert Systems with Applications},
volume = {39},
number = {3},
pages = {3413--3422},
year = {2012},
url = {http://dx.doi.org/10.1016/j.eswa.2011.09.029}
}
 | 
        
    
    
    
        
        
        
            
            
                    Arne
                    Traulsen,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Christoph
                    Hauert,
                
        
    
Stochastic differential equations for evolutionary dynamics with demographic noise and mutations, Physical Review E , vol. 85, pp. 041901, 2012.
Stochastic differential equations for evolutionary dynamics with demographic noise and mutations, Physical Review E , vol. 85, pp. 041901, 2012.
| Datei: | PhysRevE.85.041901 | 
| Bibtex: | @article{TrClHa12,
author = {Arne Traulsen and Jens Christian Claussen and Christoph Hauert},
title = {Stochastic differential equations for evolutionary dynamics with demographic noise and mutations},
journal = {Physical Review E},
volume = {85},
pages = {041901},
url = {http://arxiv.org/abs/1203.3367},
url = {http://dx.doi.org/10.1103/PhysRevE.85.041901},
year = {2012}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Laura
                    Pomarjanschi,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Christoph
                    Rasche, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Safer Driving with Gaze Guidance, in BIONETICS 2010 , J. Suzuki and T. Nakano, Eds. Springer, 2012. pp. 581--586.
Safer Driving with Gaze Guidance, in BIONETICS 2010 , J. Suzuki and T. Nakano, Eds. Springer, 2012. pp. 581--586.
| Datei: | |
| Bibtex: | @inproceedings{PoDoRaBa10,
author = {Laura Pomarjanschi and Michael Dorr and Christoph Rasche and Erhardt Barth},
title = {Safer {D}riving with {G}aze {G}uidance},
booktitle = {BIONETICS 2010},
series = {LNICST},
volume = {87},
pages = {581--586},
editor = {J. Suzuki and T. Nakano},
publisher = {Springer},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PoDoRaBa10.pdf}
}
 | 
        
    
    
    
        
        
            
                Jens Christian
                Claussen, and
            
            
        
        
    
        
        
            
            
                Ulrich G.
                Hofmann,
            
        
        
    
Sleep, Neuroengineering, and Dynamics, Cognitive Neurodynamics , vol. 6, no. 3, pp. 211--214, 2012.
Sleep, Neuroengineering, and Dynamics, Cognitive Neurodynamics , vol. 6, no. 3, pp. 211--214, 2012.
| Datei: | s11571-012-9204-2 | 
| Bibtex: | @article{ClHo12,
author = {Jens Christian Claussen and Ulrich G. Hofmann},
title = {Sleep, Neuroengineering, and Dynamics},
journal = {Cognitive Neurodynamics},
volume = {6},
number = {3},
pages = {211--214},
url = {http://dx.doi.org/10.1007/s11571-012-9204-2},
year = {2012}
}
 | 
        
    
    
    
        
        
        
            
            
                    Jens
                    Hocke,
                
        
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Sparse Coding and Selected Applications, KI - Künstliche Intelligenz , vol. 26, no. 4, pp. 349--355, 2012. Springer Berlin / Heidelberg.
Sparse Coding and Selected Applications, KI - Künstliche Intelligenz , vol. 26, no. 4, pp. 349--355, 2012. Springer Berlin / Heidelberg.
| Datei: | |
| Bibtex: | @article{HoLaBaMa12,
author = {Hocke, Jens and Labusch, Kai and Barth, Erhardt and Martinetz, Thomas},
title = {Sparse {C}oding and {S}elected {A}pplications},
publisher = {Springer Berlin / Heidelberg},
journal = {KI - K\"unstliche Intelligenz},
number = {4},
volume = {26},
pages = {349--355},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoLaBaMa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
The phase response of the cortical slow oscillation, Cognitive Neurodynamics , vol. 6, no. 4, pp. 367--375, 2012.
The phase response of the cortical slow oscillation, Cognitive Neurodynamics , vol. 6, no. 4, pp. 367--375, 2012.
| Datei: | s11571-012-9207-z | 
| Bibtex: | @article{WeMaCl12,
author = {Weigenand, Arne and Martinetz, Thomas and Claussen, Jens Christian},
title = {The phase response of the cortical slow oscillation},
journal = {Cognitive Neurodynamics},
volume = {6},
number = {4},
pages = {367--375},
year = {2012},
url = {http://dx.doi.org/10.1007/s11571-012-9207-z}
}
 | 
        
    
    
    
        
        
            
                Hans G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
The physics of business cycles and inflation, arXiv:1212.1282v1 [q-fin.GN] , 2012.
The physics of business cycles and inflation, arXiv:1212.1282v1 [q-fin.GN] , 2012.
| Datei: | |
| Bibtex: | @article{DaMa12,
author = {Hans G. Danielmeyer and Thomas Martinetz},
title = {The physics of business cycles and inflation},
journal = {arXiv:1212.1282v1 [q-fin.GN]},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa12.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    T.
                    Binder,
                
        
    
        
        
        
            
            
                    F.
                    Kriener,
                
        
    
        
        
        
            
            
                    C.
                    Wichner,
                
        
    
        
        
        
            
            
                    M.
                    Wille,
                
        
    
        
        
        
            
            
                    M.
                    Wellner,
                
        
    
        
        
        
            
            
                    T.
                    Käster,
                
        
    
        
        
        
            
            
                    T.
                    Martinetz, and
                
        
    
        
        
        
            
            
                    E.
                    Barth,
                
        
    
How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series, in Human Vision and Electronic Imaging XVII , 2012.
How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series, in Human Vision and Electronic Imaging XVII , 2012.
| DOI: | 10.1117/12.905560 | 
| Datei: | |
| Bibtex: | @inproceedings{BiKrWiWiWeKaMaBa12,
author = {T. Binder and F. Kriener and C. Wichner and M. Wille and M. Wellner and T. K{\"a}ster and T. Martinetz and E. Barth},
title = {How to make a small phone camera shoot like a big {DSLR}: creating and fusing multi-modal exposure series},
booktitle = {Human Vision and Electronic Imaging XVII},
series = {Proceedings SPIE},
volume = {8291},
year = {2012},
doi = {10.1117/12.905560},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BiKrWiWiWeKaMaBa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Björn
                    Machner,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Andreas
                    Sprenger,
                
        
    
        
        
        
            
            
                    Janina
                    Gablentz,
                
        
    
        
        
        
            
            
                    Wolfgang
                    Heide,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Christoph
                    Helmchen,
                
        
    
Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect, Neuropsychologia , vol. 50, pp. 2415--2425, 2012.
Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect, Neuropsychologia , vol. 50, pp. 2415--2425, 2012.
| Datei: | |
| Bibtex: | @article{MaDoSpGaHeBaHe12,
author = {Bj\"orn Machner and Michael Dorr and Andreas Sprenger and Janina von der Gablentz and Wolfgang Heide and Erhardt Barth and Christoph Helmchen},
title = {Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect},
journal = {Neuropsychologia},
volume = {50},
year = {2012},
pages = {2415--2425},
abstract = {<p>Patients with hemispatial neglect are severely impaired in orienting their attention to contralesional hemispace. Although motion is one of the strongest attentional cues in humans, it is still unknown how neglect patients visually explore their moving real-world environment.</p> <p>We therefore recorded eye movements at bedside in 19 patients with hemispatial neglect following acute right hemisphere stroke, 14 right-brain damaged patients without neglect and 21 healthy control subjects. Videos of naturalistic real-world scenes were presented first in a free viewing condition together with static images, and subsequently in a visual search condition. We analyzed number and amplitude of saccades, fixation durations and horizontal fixation distributions. Novel computational tools allowed us to assess the impact of different scene features (static and dynamic contrast, colour, brightness) on patients{\textquoteright} gaze.</p> <p>Independent of the different stimulus conditions, neglect patients showed decreased numbers of fixations in contralesional hemispace (ipsilesional fixation bias) and increased fixation durations in ipsilesional hemispace (disengagement deficit). However, in videos left-hemifield fixations of neglect patients landed on regions with particularly high dynamic contrast. Furthermore, dynamic scenes with few salient objects led to a significant reduction of the pathological ipsilesional fixation bias. In visual search, moving targets in the neglected hemifield were more frequently detected than stationary ones. The top-down influence (search instruction) could neither reduce the ipsilesional fixation bias nor the impact of bottom-up features.</p> <p>Our results provide evidence for a strong impact of dynamic bottom-up features on neglect patients{\textquoteright} scanning behaviour. They support the neglect model of an attentional priority map in the brain being imbalanced towards ipsilesional hemispace, which can be counterbalanced by strong contralateral motion cues. Taking into account the lack of top-down control in neglect patients, bottom-up stimulation with moving real-world stimuli may be a promising candidate for future neglect rehabilitation schemes.</p>},
url = {http://dx.doi.org/10.1016/j.neuropsychologia.2012.06.012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaDoSpGaHeBaHe12.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Henry
                    Schütze,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Silke
                    Anders, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
A Multivariate Approach to Estimate Complexity of FMRI Time Series, in Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II , Alessandro E.P. Villa and Włodzisław Duch and Péter Érdi and Francesco Masulli and Günter Palm, Eds. Springer, 2012. pp. 540--547.
A Multivariate Approach to Estimate Complexity of FMRI Time Series, in Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II , Alessandro E.P. Villa and Włodzisław Duch and Péter Érdi and Francesco Masulli and Günter Palm, Eds. Springer, 2012. pp. 540--547.
| Datei: | |
| Bibtex: | @inproceedings{ScMaAnMa12,
author = {Henry Sch{\"u}tze and Thomas Martinetz and Silke Anders and Amir Madany Mamlouk},
title = {A {M}ultivariate {A}pproach to {E}stimate {C}omplexity of {F}{MRI} {T}ime {S}eries},
editor = {Alessandro E.P. Villa and W{\l}odzis{\l}aw Duch and P{\'{e}}ter {\'{E}}rdi and Francesco Masulli and G{\"u}nter Palm},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II},
year = {2012},
pages = {540--547},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {7553},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScMaAnMa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Laura
                    Pomarjanschi,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Gaze guidance reduces the number of collisions with pedestrians in a driving simulator, ACM Transactions on Interactive Intelligent Systems , vol. 1, no. 2, pp. 8:1--8:14, 2012.
Gaze guidance reduces the number of collisions with pedestrians in a driving simulator, ACM Transactions on Interactive Intelligent Systems , vol. 1, no. 2, pp. 8:1--8:14, 2012.
| Datei: | |
| Bibtex: | @article{PoDoBa11,
author = {Laura Pomarjanschi and Michael Dorr and Erhardt Barth},
title = {Gaze guidance reduces the number of collisions with pedestrians in a driving simulator},
journal = {ACM Transactions on Interactive Intelligent Systems},
pages = {8:1--8:14},
volume = {1},
number = {2},
year = {2012},
note = {((c) ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Interactive Intelligent Systems, January 2012.)},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PoDoBa12.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Eleonora
                    Vig, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Colour saliency on video, in BIONETICS 2010 , J. Suzuki and T. Nakano, Eds. Springer, 2012. pp. 601--606.
Colour saliency on video, in BIONETICS 2010 , J. Suzuki and T. Nakano, Eds. Springer, 2012. pp. 601--606.
| Datei: | |
| Bibtex: | @inproceedings{DoViBa10,
author = {Michael Dorr and Eleonora Vig and Erhardt Barth},
title = {Colour saliency on video},
booktitle = {BIONETICS 2010},
series = {LNICST},
volume = {87},
pages = {601--606},
editor = {J. Suzuki and T. Nakano},
publisher = {Springer},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoViBa10.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Jens
                    Hocke,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A compressed sensing model of peripheral vision, in Human Vision and Electronic Imaging XVII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. Proceedings of SPIE, 2012.
A compressed sensing model of peripheral vision, in Human Vision and Electronic Imaging XVII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. Proceedings of SPIE, 2012.
| Datei: | |
| Bibtex: | @inproceedings{HoDoBa12,
author = {Jens Hocke and Michael Dorr and Erhardt Barth},
title = {A compressed sensing model of peripheral vision},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
booktitle = {Human Vision and Electronic Imaging XVII},
publisher = {Proceedings of SPIE},
volume = {8291},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoDoBa12.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Tim
                    Becker,
                
        
    
        
        
        
            
            
                    Daniel
                    Rapoport, and
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking, in IEEE International Symposium on Biomedical Imaging (ISBI'12) , 2012. pp. 386--389.
From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking, in IEEE International Symposium on Biomedical Imaging (ISBI'12) , 2012. pp. 386--389.
        
    
    
    
    
        
        
        
            
            
                    Jens
                    Hocke,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Application of non-linear transform coding to image processing, in Human Vision and Electronic Imaging XVII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. Proceedings of SPIE, 2012.
Application of non-linear transform coding to image processing, in Human Vision and Electronic Imaging XVII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. Proceedings of SPIE, 2012.
| Datei: | |
| Bibtex: | @inproceedings{HoBaMa12,
author = {Jens Hocke and Erhardt Barth and Thomas Martinetz},
title = {Application of non-linear transform coding to image processing},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
booktitle = {Human Vision and Electronic Imaging XVII},
publisher = {Proceedings of SPIE},
volume = {8291},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoBaMa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Jörn
                    Voigt,
                
        
    
        
        
        
            
            
                    Christopher
                    Krause,
                
        
    
        
        
        
            
            
                    Edda
                    Rohwäder,
                
        
    
        
        
        
            
            
                    Sandra
                    Saschenbrecker,
                
        
    
        
        
        
            
            
                    Melanie
                    Hahn,
                
        
    
        
        
        
            
            
                    Maick
                    Danckwardt,
                
        
    
        
        
        
            
            
                    Christian
                    Feirer,
                
        
    
        
        
        
            
            
                    Konstantin
                    Ens,
                
        
    
        
        
        
            
            
                    Kai
                    Fechner,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Winfried
                    Stöcker,
                
        
    
Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells, Clinical and Developmental Immunology , vol. 2012, 2012.
Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells, Clinical and Developmental Immunology , vol. 2012, 2012.
| DOI: | 10.1155/2012/651058 | 
| Datei: | 651058 | 
| Bibtex: | @article{VoKrRoSaHaDaFeEnFeBaMaSt12,
author = {J{\"o}rn Voigt and Christopher Krause and Edda Rohw{\"a}der and Sandra Saschenbrecker and Melanie Hahn and Maick Danckwardt and Christian Feirer and Konstantin Ens and Kai Fechner and Erhardt Barth and Thomas Martinetz and Winfried St{\"o}cker},
title = {Automated {I}ndirect {I}mmunofluorescence {E}valuation of {A}ntinuclear {A}utoantibodies on {HE}p-2 {C}ells},
journal = {Clinical and {D}evelopmental Immunology},
volume = {2012},
note = {7 pages},
year = {2012},
comment = {Article ID 651058},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/VoKrRoSaHaDaFeEnFeBaMaSt12.pdf},
doi = {10.1155/2012/651058},
url = {https://doi.org/10.1155/2012/651058}
}
 | 
        
    
    
    
        
        
            
                Hans G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
A physical theory of economic groth, arXiv:1206.2494v1 [q-fin.GN] , 2012.
A physical theory of economic groth, arXiv:1206.2494v1 [q-fin.GN] , 2012.
| Datei: | |
| Bibtex: | @article{DaMa12b,
author = {Hans G. Danielmeyer and Thomas Martinetz},
title = {A physical theory of economic groth},
journal = {arXiv:1206.2494v1 [q-fin.GN]},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa12b.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Contribution of Spatio-Temporal Intensity Variation to Bottom-up Saliency, in BIONETICS 2010 , J Suzuki and T Nakano, Eds. Springer, 2012. pp. 469--474.
Contribution of Spatio-Temporal Intensity Variation to Bottom-up Saliency, in BIONETICS 2010 , J Suzuki and T Nakano, Eds. Springer, 2012. pp. 469--474.
| Datei: | |
| Bibtex: | @inproceedings{ViDoBa10,
author = {Eleonora Vig and Michael Dorr and Erhardt Barth},
title = {Contribution of {S}patio-{T}emporal {I}ntensity {V}ariation to {B}ottom-up {S}aliency},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoBa10.pdf},
booktitle = {BIONETICS 2010},
series = {LNICST},
volume = {87},
pages = {469--474},
editor = {J Suzuki and T Nakano},
publisher = {Springer},
year = {2012}
}
 | 
        
    
    
    
        
        
            
                Markus
                Schütt, and
            
            
        
        
    
        
        
            
            
                Jens Christian
                Claussen,
            
        
        
    
Desynchronizing effect of high-frequency stimulation in a generic cortical network model, Cognitive Neurodynamics , vol. 6, no. 4, pp. 343--351, 2012.
Desynchronizing effect of high-frequency stimulation in a generic cortical network model, Cognitive Neurodynamics , vol. 6, no. 4, pp. 343--351, 2012.
| Datei: | s11571-012-9199-8 | 
| Bibtex: | @article{ScCl12,
author = {Markus Sch{\"u}tt and Jens Christian Claussen},
title = {Desynchronizing effect of high-frequency stimulation in a generic cortical network model},
journal = {Cognitive Neurodynamics},
volume = {6},
number = {4},
pages = {343--351},
url = {http://dx.doi.org/10.1007/s11571-012-9199-8},
year = {2012}
}
 | 
        
    
    
    
        
        
        
            
            
                    Jörg
                    Mayer,
                
        
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Matthias
                    Mölle, and
                
        
    
        
        
        
            
            
                    Jan
                    Born,
                
        
    
Differential influence of sinusoidal and noisy inputs on synaptic connections in a network with STDP, Europhysics Letters , vol. 98, pp. 48005, 2012.
Differential influence of sinusoidal and noisy inputs on synaptic connections in a network with STDP, Europhysics Letters , vol. 98, pp. 48005, 2012.
        
    
    
    
        
        
        
            
            
                    Jörg
                    Mayer,
                
        
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo, and
                
        
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
Dynamical Mean-Field Equations for a Neural Network with Spike Timing Dependent Plasticity, Journal of Statistical Physics , 2012.
Dynamical Mean-Field Equations for a Neural Network with Spike Timing Dependent Plasticity, Journal of Statistical Physics , 2012.
        
    
    
    
    
        
        
            
                Jens
                Hocke, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits, in Workshop New Challenges in Neural Computation 2012 , Barbara Hammer and Thomas Villmann, Eds. 2012. pp. 113--115.
Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits, in Workshop New Challenges in Neural Computation 2012 , Barbara Hammer and Thomas Villmann, Eds. 2012. pp. 113--115.
| Datei: | |
| Bibtex: | @inproceedings{HoMa12,
author={Hocke, Jens and Martinetz, Thomas},
title = {{E}xperience in {T}raining ({D}eep) {M}ulti-{L}ayer {P}erceptrons to {C}lassify {D}igits},
booktitle = {Workshop New Challenges in Neural Computation 2012},
editor = {Barbara Hammer and Thomas Villmann},
series={Machine Learning Reports},
volume = {03},
year = {2012},
pages = {113--115},
note = {Short Paper},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoMa12.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Eleonora
                    Vig, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Eye movement prediction and variability on natural video data sets, Visual Cognition , vol. 20, no. 4/5, pp. 495--514, 2012.
Eye movement prediction and variability on natural video data sets, Visual Cognition , vol. 20, no. 4/5, pp. 495--514, 2012.
| Datei: | |
| Bibtex: | @article{DoViBa12,
author = {Michael Dorr and Eleonora Vig and Erhardt Barth},
title = {Eye movement prediction and variability on natural video data sets},
journal = {Visual Cognition},
volume = {20},
number = {4/5},
pages = {495--514},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoViBa12.pdf}
}
 | 
2011
        
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction, Neurocomputing , vol. 74, no. 9, pp. 1418--1428, 04 2011.
Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction, Neurocomputing , vol. 74, no. 9, pp. 1418--1428, 04 2011.
| Datei: | |
| Bibtex: | @article{LaBaMa11,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {Soft-competitive {L}earning of {S}parse {C}odes and its {A}pplication to {I}mage {R}econstruction},
journal= {Neurocomputing},
volume = {74},
number = {9},
month = {04},
pages = {1418--1428},
year = {2011},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa11.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Eckehard
                    Olbrich,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Peter
                    Achermann,
                
        
    
The multiple time scales of sleep dynamics as a challenge for modeling the sleeping brain, Phil. Trans. Roy. Soc A , vol. 369, pp. 3884--3901, 2011.
The multiple time scales of sleep dynamics as a challenge for modeling the sleeping brain, Phil. Trans. Roy. Soc A , vol. 369, pp. 3884--3901, 2011.
| Datei: | rsta.2011.0082 | 
| Bibtex: | @article{OlClAc11,
author = {Eckehard Olbrich and Jens Christian Claussen and Peter Achermann},
title = {The multiple time scales of sleep dynamics as a challenge for modeling the sleeping brain},
journal = {Phil. Trans. Roy. Soc A},
volume = {369},
pages= {3884--3901},
year = {2011},
url = {http://dx.doi.org/10.1098/rsta.2011.0082}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Ingrid
                    Brænne,
                
        
    
        
        
        
            
            
                    Jeanette
                    Erdmann, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
SNPboost: Interaction Analysis and Risk Prediction on GWA Data, in Artificial Neural Networks - ICANN 2011, 21th International Conference, Espoo, Finland, June 14-17th, 2011, Proceedings , Springer, 2011. pp. 111--118.
SNPboost: Interaction Analysis and Risk Prediction on GWA Data, in Artificial Neural Networks - ICANN 2011, 21th International Conference, Espoo, Finland, June 14-17th, 2011, Proceedings , Springer, 2011. pp. 111--118.
| Datei: | |
| Bibtex: | @inproceedings{BrErMa11,
author = {Ingrid Br{\ae}nne and Jeanette Erdmann and Amir Madany Mamlouk},
title = {{SNP}boost: {I}nteraction {A}nalysis and {R}isk {P}rediction on {GWA} {D}ata},
booktitle = {Artificial Neural Networks - ICANN 2011, 21th International Conference, Espoo, Finland, June 14-17th, 2011, Proceedings},
publisher = {Springer},
volume = {6792},
series = {Lecture Notes in Computer Science},
pages = {111--118},
year = {2011},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BrErMa11.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy, and
                
        
    
        
        
        
            
            
                    Prasanna
                    Kolatkar,
                
        
    
RSARF: Prediction of residue solvent accessibility from protein sequence using random forest method, Protein & Peptide Letters , vol. 18, 2011.
RSARF: Prediction of residue solvent accessibility from protein sequence using random forest method, Protein & Peptide Letters , vol. 18, 2011.
        
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent, IEEE Transactions on Selected Topics in Signal Processing , vol. 5, no. 5, pp. 1048--1060, 2011.
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent, IEEE Transactions on Selected Topics in Signal Processing , vol. 5, no. 5, pp. 1048--1060, 2011.
| Datei: | |
| Bibtex: | @article{LaBaMa11b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {IEEE Transactions on Selected Topics in Signal Processing},
title = {{R}obust and {F}ast {L}earning of {S}parse {C}odes {W}ith {S}tochastic {G}radient {D}escent},
year = {2011},
volume = {5},
pages = {1048--1060},
number = {5},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa11b.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Jens
                    Hocke,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Image Deconvolution with Sparse Priors, in Workshop New Challenges in Neural Computation 2011 , Barbara Hammer and Thomas Villmann, Eds. 2011. pp. 9.
Image Deconvolution with Sparse Priors, in Workshop New Challenges in Neural Computation 2011 , Barbara Hammer and Thomas Villmann, Eds. 2011. pp. 9.
        
    
    
    
        
        
        
            
            
                    Jiajie
                    Zhang,
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Suhua
                    Chang,
                
        
    
        
        
        
            
            
                    Jing
                    Wang, and
                
        
    
        
        
        
            
            
                    Rolf
                    Hilgenfeld,
                
        
    
Phylo Map: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome, BMC Bioinformatics , vol. 12, pp. 248, 2011.
Phylo Map: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome, BMC Bioinformatics , vol. 12, pp. 248, 2011.
| Datei: | |
| Bibtex: | @article{ZhMaMaChWaHi11,
author = {Jiajie Zhang and Amir Madany Mamlouk and Thomas Martinetz and Suhua Chang and Jing Wang and Rolf Hilgenfeld},
title = {{P}hylo{M}ap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza {A} virus genome},
journal = {BMC Bioinformatics},
year = {2011},
volume = {12},
pages = {248},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21689434},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ZhMaMaChWaHi11.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Sascha
                Klement, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
On the Problem of Finding the Least Number of Features by L1-norm Minimisation, in ICANN 2011, Part I , T. Honkela et al., Eds. Springer, Heidelberg, 2011. pp. 315--322.
On the Problem of Finding the Least Number of Features by L1-norm Minimisation, in ICANN 2011, Part I , T. Honkela et al., Eds. Springer, Heidelberg, 2011. pp. 315--322.
| Datei: | |
| Bibtex: | @inproceedings{KlMa11,
author = {Klement, Sascha and Martinetz, Thomas},
title = { On the {P}roblem of {F}inding the {L}east {N}umber of {F}eatures by {L}1-norm {M}inimisation},
booktitle = {ICANN 2011, Part I},
series = {LNCS 6791},
pages = {315--322},
editor = {T. Honkela et al.},
publisher = {Springer, Heidelberg},
year = {2011},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlMa11.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Fabian
                Timm, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Non-parametric texture defect detection using Weibull features, in Image Processing: Machine Vision Applications IV , San Francisco, USA: IS&T/SPIE Electronic Imaging, 2011.
Non-parametric texture defect detection using Weibull features, in Image Processing: Machine Vision Applications IV , San Francisco, USA: IS&T/SPIE Electronic Imaging, 2011.
| Datei: | |
| Bibtex: | @inproceedings{TiBa11,
author = {Fabian Timm and Erhardt Barth},
title = {Non-parametric texture defect detection using {W}eibull features},
booktitle = {Image Processing: Machine Vision Applications IV},
publisher = {IS\&T/SPIE Electronic Imaging},
year = {2011},
address = {San Francisco, USA},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiBa11.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Learned saliency transformations for gaze guidance, in Human Vision and Electronic Imaging XVI , Bernice E. Rogowitz and Thrasyvoulos N. Pappas, Eds. SPIE-IS&T, 2011. pp. W1--11.
Learned saliency transformations for gaze guidance, in Human Vision and Electronic Imaging XVI , Bernice E. Rogowitz and Thrasyvoulos N. Pappas, Eds. SPIE-IS&T, 2011. pp. W1--11.
| Datei: | |
| Bibtex: | @inproceedings{ViDoBa11,
author = {Eleonora Vig and Michael Dorr and Erhardt Barth},
title = {Learned saliency transformations for gaze guidance},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoBa11.pdf},
booktitle = {Human Vision and Electronic Imaging XVI},
publisher = {SPIE-IS\&T},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas},
volume = {7865},
pages = {W1--11},
year = {2011}
}
 | 
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Kuo-Chen
                    Chou,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
        
        
        
            
            
                    P. N.
                    Suganthan,
                
        
    
        
        
        
            
            
                    S.
                    Sridharan, and
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties, Journal of Theoretical Biology , vol. 270, no. 1, pp. 56--62, 2011.
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties, Journal of Theoretical Biology , vol. 270, no. 1, pp. 56--62, 2011.
        
    
    
    
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Fabian
                    Timm, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Illumination correction for image stitching, in Proceedings of the Int. Conference on Imaging Theory and Applications (IMAGAPP) , Algarve, Portugal: INSTICC, 2011. pp. 81--86.
Illumination correction for image stitching, in Proceedings of the Int. Conference on Imaging Theory and Applications (IMAGAPP) , Algarve, Portugal: INSTICC, 2011. pp. 81--86.
| Datei: | |
| Bibtex: | @inproceedings{KlTiBa11,
author = {Sascha Klement and Fabian Timm and Erhardt Barth},
title = {Illumination correction for image stitching},
booktitle = {Proceedings of the Int. Conference on Imaging Theory and Applications {(IMAGAPP)}},
publisher = {INSTICC},
address = {Algarve, Portugal},
year = {2011},
pages = {81--86},
volume = {1},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlTiBa11.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Fabian
                Timm, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Accurate eye centre localisation by means of gradients, in Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP) , Algarve, Portugal: INSTICC, 2011. pp. 125--130.
Accurate eye centre localisation by means of gradients, in Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP) , Algarve, Portugal: INSTICC, 2011. pp. 125--130.
        
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes, Cognitive Computation , vol. 3, no. 1, pp. 79--88, 2011. Springer New York.
Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes, Cognitive Computation , vol. 3, no. 1, pp. 79--88, 2011. Springer New York.
| Datei: | |
| Bibtex: | @article{ViDoMaBa11,
author = {Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth},
title = {Eye {M}ovements {S}how {O}ptimal {A}verage {A}nticipation with {N}atural {D}ynamic {S}cenes},
journal = {Cognitive Computation},
publisher = {Springer New York},
year = {2011},
pages = {79--88},
volume = {3},
number = {1},
url = {http://www.springerlink.com/content/73l4j324g63150n1/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoMaBa11.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Khader
                    Shameer,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy, and
                
        
    
        
        
        
            
            
                    Ramanathan
                    Sowdhamini,
                
        
    
3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach, Protein & Peptide Letters , vol. 18, 2011.
3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach, Protein & Peptide Letters , vol. 18, 2011.
        
    
    
    
        
        
        
            
            
                    Daniel H.
                    Rapoport,
                
        
    
        
        
        
            
            
                    Tim
                    Becker,
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
        
        
        
            
            
                    Simone
                    Schicktanz, and
                
        
    
        
        
        
            
            
                    Charli
                    Kruse,
                
        
    
A Novel Validation Algorithm Allows for Automated Cell Tracking and the Extraction of Biologically Meaningful Parameters, PLoS ONE , vol. 6, no. 11, pp. e27315, 2011.
A Novel Validation Algorithm Allows for Automated Cell Tracking and the Extraction of Biologically Meaningful Parameters, PLoS ONE , vol. 6, no. 11, pp. e27315, 2011.
| DOI: | doi:10.1371/journal.pone.0027315 | 
| Datei: | journal.pone.0027315 | 
| Bibtex: | @article{RaBeMaScKr11,
author = {Rapoport, Daniel H. and Becker, Tim and Madany Mamlouk, Amir and Schicktanz, Simone and Kruse, Charli},
title = {A {N}ovel {V}alidation {A}lgorithm {A}llows for {A}utomated {C}ell {T}racking and the {E}xtraction of {B}iologically {M}eaningful {P}arameters},
journal = {PLoS ONE},
volume = {6},
number = {11},
pages = {e27315},
year = {2011},
doi = {doi:10.1371/journal.pone.0027315},
url = {https://doi.org/10.1371/journal.pone.0027315}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Tim
                    Becker,
                
        
    
        
        
        
            
            
                    Daniel
                    Rapoport, and
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk,
                
        
    
Adaptive mitosis detection in large in vitro stem cell populations using timelapse microscopy, in Bildverarbeitung für die Medizin (BVM 2011) , 2011. pp. 49--53.
Adaptive mitosis detection in large in vitro stem cell populations using timelapse microscopy, in Bildverarbeitung für die Medizin (BVM 2011) , 2011. pp. 49--53.
        
    
    
    
    
        
        
            
                Fabian
                Timm, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Accurate, fast, and robust centre localisation for images of semiconductor components, in Image Processing: Machine Vision Applications IV , San Francisco, USA: IS&T/SPIE Electronic Imaging, 2011.
Accurate, fast, and robust centre localisation for images of semiconductor components, in Image Processing: Machine Vision Applications IV , San Francisco, USA: IS&T/SPIE Electronic Imaging, 2011.
| Datei: | |
| Bibtex: | @inproceedings{TiBa11a,
author = {Fabian Timm and Erhardt Barth},
title = {Accurate, fast, and robust centre localisation for images of semiconductor components},
booktitle = {Image Processing: Machine Vision Applications IV},
publisher = {IS\&T/SPIE Electronic Imaging},
year = {2011},
address = {San Francisco, USA},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiBa11a.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Nicolas
                    Schneider,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Peter
                    Bex, and
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
An open-source low-cost eye-tracking system for portable real-time and offline tracking, in Proceedings of the 2011 Conference on Novel Gaze-Controlled Applications , 2011. pp. 8:1--4.
An open-source low-cost eye-tracking system for portable real-time and offline tracking, in Proceedings of the 2011 Conference on Novel Gaze-Controlled Applications , 2011. pp. 8:1--4.
| DOI: | http://dx.doi.org/10.1145/1983302.1983310 | 
| Datei: | |
| Bibtex: | @inproceedings{ScBaBeDo11,
author = {Nicolas Schneider and Erhardt Barth and Peter Bex and Michael Dorr},
title = {An open-source low-cost eye-tracking system for portable real-time and offline tracking},
booktitle = {Proceedings of the 2011 Conference on Novel Gaze-Controlled Applications},
pages = {8:1--4},
year = {2011},
doi = {http://dx.doi.org/10.1145/1983302.1983310},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaBeDo11.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Mehrnaz Khodam
                    Hazrati,
                
        
    
        
        
        
            
            
                    Kai-Uwe
                    Kalies, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and Relief feature selection, BMC Bioinformatics , 2011.
BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and Relief feature selection, BMC Bioinformatics , 2011.
| Datei: | |
| Bibtex: | @article{KrGaMeKaTh11,
author = {Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Mehrnaz Khodam Hazrati and Kai-Uwe Kalies and Thomas Martinetz},
title = {{BLP}rot: {P}rediction of bioluminescent proteins based on {S}upport {V}ector {M}achine and {R}elief feature selection},
journal = {BMC Bioinformatics},
year = {2011},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KrGaMeKaTh11.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Felix
                    Njap,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
        
        
        
            
            
                    Andreas
                    Moser, and
                
        
    
        
        
        
            
            
                    Ulrich G.
                    Hofmann,
                
        
    
Comparing Realistic subthalamic nucleus neuron models, in AIP Conf. Proc. / Volume 1371 / Issue 1 , 2011. pp. 102--109.
Comparing Realistic subthalamic nucleus neuron models, in AIP Conf. Proc. / Volume 1371 / Issue 1 , 2011. pp. 102--109.
2010
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Halszka
                    Jarodzka, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Space-Variant Spatio-Temporal Filtering of Video for Gaze Visualization and Perceptual Learning, in Eye-tracking research \& applications , 2010. pp. 307--314.
Space-Variant Spatio-Temporal Filtering of Video for Gaze Visualization and Perceptual Learning, in Eye-tracking research \& applications , 2010. pp. 307--314.
| Datei: | |
| Bibtex: | @inproceedings{DoJaBa10_www,
comment = {This is the entry that should appear on websites and that includes a copyright notice. For a citation in a paper, use item DoJaBa10 instead.},
author = {Michael Dorr and Halszka Jarodzka and Erhardt Barth},
title = {Space-Variant Spatio-Temporal Filtering of Video for Gaze Visualization and Perceptual Learning},
booktitle = {Eye-tracking research \& applications},
pages = {307--314},
year = {2010},
note = {\copyright\ ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye tracking research \& applications 2010, Austin, Texas, 22-24 March 2010. http://doi.acm.org/10.1145/1743666.1743737},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoJaBa10.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Karl
                    Gegenfurtner, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Variability of eye movements when viewing dynamic natural scenes, Journal of Vision , vol. 10, no. 10, pp. 1--17, 2010.
Variability of eye movements when viewing dynamic natural scenes, Journal of Vision , vol. 10, no. 10, pp. 1--17, 2010.
| Datei: | article.aspx | 
| Bibtex: | @article{DoMaGeBa10a,
author = {Michael Dorr and Thomas Martinetz and Karl Gegenfurtner and Erhardt Barth},
title = {Variability of eye movements when viewing dynamic natural scenes},
journal = {Journal of Vision},
year = {2010},
volume = {10},
number = {10},
pages = {1--17},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoMaGeBa10a.pdf},
url = {http://jov.arvojournals.org/article.aspx?articleid=2121333}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Jan
                    Köhler,
                
        
    
        
        
        
            
            
                    Jörg
                    Mayer,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
Triggering up states in all-to-all coupled neurons: a simple model of cortical up-down switching, in Proceedings of the International Biosignal Processing Conference, Berlin, Germany , 2010. pp. 57:1--4.
Triggering up states in all-to-all coupled neurons: a simple model of cortical up-down switching, in Proceedings of the International Biosignal Processing Conference, Berlin, Germany , 2010. pp. 57:1--4.
        
    
    
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    Jan
                    Köhler,
                
        
    
        
        
        
            
            
                    Jörg
                    Mayer,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
Triggering up states in all-to-all coupled neurons, Europhysics Letters , vol. 89, pp. 68002, 2010.
Triggering up states in all-to-all coupled neurons, Europhysics Letters , vol. 89, pp. 68002, 2010.
| Datei: | 1003.2111 | 
| Bibtex: | @article{NgKoMaClSc10,
author = {Ngo, Hong-Viet V. and K{\"o}hler, Jan and Mayer, J{\"o}rg and Claussen, Jens Christian and Schuster, Heinz Georg},
title = {Triggering up states in all-to-all coupled neurons},
journal = {Europhysics Letters},
volume = {89},
pages = {68002},
year = {2010},
url = {http://dx.doi.org/10.1209/0295-5075/89/68002},
url = {http://arxiv.org/abs/1003.2111}
}
 | 
        
    
    
    
        
        
        
            
            
                    A.
                    Kolb,
                
        
    
        
        
        
            
            
                    E.
                    Barth,
                
        
    
        
        
        
            
            
                    R.
                    Koch, and
                
        
    
        
        
        
            
            
                    R.
                    Larsen,
                
        
    
Time-of-Flight Cameras in Computer Graphics, Computer Graphics Forum , vol. 29, no. 1, pp. 141--159, 2010.
Time-of-Flight Cameras in Computer Graphics, Computer Graphics Forum , vol. 29, no. 1, pp. 141--159, 2010.
| Datei: | |
| Bibtex: | @article{ KoBaKoLa10,
author = {A. Kolb and E. Barth and R. Koch and R. Larsen},
title = {{Time-of-Flight Cameras in Computer Graphics}},
journal = {Computer Graphics Forum},
year = {2010},
volume = {29},
number = {1},
pages = {141--159},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KoBaKoLa10.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Sascha
                Klement, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
The {S}upport {F}eature {M}achine for {C}lassifying with the {L}east {N}umber of {F}eatures, in Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II , Konstantinos I. Diamantaras and Wlodek Duch and Lazaros S. Iliadis, Eds. Springer, 2010. pp. 88--93.
The {S}upport {F}eature {M}achine for {C}lassifying with the {L}east {N}umber of {F}eatures, in Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II , Konstantinos I. Diamantaras and Wlodek Duch and Lazaros S. Iliadis, Eds. Springer, 2010. pp. 88--93.
| Datei: | |
| Bibtex: | @inproceedings{KlMa10,
author = {Sascha Klement and Thomas Martinetz},
title = {The {S}upport {F}eature {M}achine for {C}lassifying with the {L}east {N}umber of {F}eatures},
editor = {Konstantinos I. Diamantaras and Wlodek Duch and Lazaros S. Iliadis},
booktitle = {Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II},
year = {2010},
pages = {88--93},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6353},
ee = {http://dx.doi.org/10.1007/978-3-642-15822-3_11},
bibsource = {DBLP, http://dblp.uni-trier.de},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlMa10.pdf}
}
 | 
        
    
    
    
        
        
            
                H. G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                T.
                Martinetz,
            
        
        
    
The {B}iologic {S}tability of the {I}ndustrial {E}volution, European Review (Academia Europea) , vol. 18, no. 2, pp. 263--268, 2010.
The {B}iologic {S}tability of the {I}ndustrial {E}volution, European Review (Academia Europea) , vol. 18, no. 2, pp. 263--268, 2010.
| Datei: | |
| Bibtex: | @article{DaMa10,
author = {H. G. Danielmeyer and T. Martinetz},
title = {The {B}iologic {S}tability of the {I}ndustrial {E}volution},
journal = {European Review (Academia Europea)},
volume = {18},
number = {2},
year = {2010},
pages = {263--268},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa10.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Arne
                    Weigenand,
                
        
    
        
        
        
            
            
                    Hong-Viet V.
                    Ngo,
                
        
    
        
        
        
            
            
                    David
                    Higgins,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
Switching between Up and Down States in a conductance-based cortex model, in Proceedings of the International Biosignal Processing Conference, Berlin, Germany , 2010. pp. 105:1--3.
Switching between Up and Down States in a conductance-based cortex model, in Proceedings of the International Biosignal Processing Conference, Berlin, Germany , 2010. pp. 105:1--3.
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    P.N
                    Suganthan, and
                
        
    
        
        
        
            
            
                    Rajeev
                    Gangal,
                
        
    
SVMCRYS: An SVM approach for the prediction of protein crystallization propensity from protein, Protein Peptide Letters , vol. 26, pp. 423--430, 2010.
SVMCRYS: An SVM approach for the prediction of protein crystallization propensity from protein, Protein Peptide Letters , vol. 26, pp. 423--430, 2010.
        
    
    
    
    
        
        
            
                Fabian
                Timm, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Statistical Fourier Descriptors for Defect Image Classification, in Proceedings of the 20th Int. Conference on Pattern Recognition (ICPR) , Istanbul, Turkey: IEEE Computer Society Press, 2010. pp. 4190--4193.
Statistical Fourier Descriptors for Defect Image Classification, in Proceedings of the 20th Int. Conference on Pattern Recognition (ICPR) , Istanbul, Turkey: IEEE Computer Society Press, 2010. pp. 4190--4193.
| Datei: | |
| Bibtex: | @inproceedings{TiMa10,
author = {Fabian Timm and Thomas Martinetz},
title = {Statistical {F}ourier {D}escriptors for {D}efect {I}mage {C}lassification},
booktitle = {Proceedings of the 20th Int. Conference on Pattern Recognition {(ICPR)} },
publisher = {IEEE Computer Society Press},
pages = {4190--4193},
year = {2010},
address = {Istanbul, Turkey},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiMa10.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Enno
                    Hartmann,
                
        
    
        
        
        
            
            
                    Kai-Uwe
                    Kalies,
                
        
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
        
        
        
            
            
                    P.N.
                    Suganthan, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes, Biochemical and biophysical research communications , vol. 391, no. 3, pp. 1306--1311, 2010.
SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes, Biochemical and biophysical research communications , vol. 391, no. 3, pp. 1306--1311, 2010.
| Datei: | |
| Bibtex: | @article{KaPuHaKaMoSuMa10,
author = {Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Enno Hartmann and Kai-Uwe Kalies and Steffen M{\"o}ller and P.N. Suganthan and Thomas Martinetz},
title = {{SPRED}: {A} machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes},
journal = {Biochemical and biophysical research communications},
volume = {391},
number = {3},
pages = {1306--1311},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KaPuHaKaMoSuMa09.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Ingrid
                    Brænne,
                
        
    
        
        
        
            
            
                    Kai
                    Labusch, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
Sparse Coding for Feature Selection on Genome-wide Association Data, in Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings , Springer, 2010. pp. 337--346.
Sparse Coding for Feature Selection on Genome-wide Association Data, in Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings , Springer, 2010. pp. 337--346.
| Datei: | |
| Bibtex: | @inproceedings{BrLaMa10,
author = {Ingrid Br{\ae}nne and Kai Labusch and Amir Madany Mamlouk},
title = {{S}parse {C}oding for {F}eature {S}election on {G}enome-wide {A}ssociation {D}ata},
booktitle = {Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings},
publisher = {Springer},
volume = {6352},
series = {Lecture Notes in Computer Science},
pages = {337--346},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BrLaMa10.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Markus
                Schütt, and
            
            
        
        
    
        
        
            
            
                Jens Christian
                Claussen,
            
        
        
    
Stabilization of biodiversity in the coevolutionary rock-paper-scissors game on complex networks, 2010.
Stabilization of biodiversity in the coevolutionary rock-paper-scissors game on complex networks, 2010.
| Datei: | 1003.2922 | 
| Bibtex: | @misc{ScCl10b,
author = {Markus Sch{\"u}tt and Jens Christian Claussen},
title = {Stabilization of biodiversity in the coevolutionary rock-paper-scissors game on complex networks},
note = {working paper q-bio},
year = {2010},
url = {http://arxiv.org/abs/1003.2922}
}
 | 
        
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Shading constraint improves accuracy of time-of-flight measurements, Computer Vision and Image Understanding , vol. 114, pp. 1329--1335, 2010.
Shading constraint improves accuracy of time-of-flight measurements, Computer Vision and Image Understanding , vol. 114, pp. 1329--1335, 2010.
| Datei: | |
| Bibtex: | @article{BoHaMaBa10,
author = {Martin B{\"o}hme and Martin Haker and Thomas Martinetz and Erhardt Barth},
title = {Shading constraint improves accuracy of time-of-flight measurements},
journal = {Computer Vision and Image Understanding},
pages = {1329--1335},
volume = {114},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BoHaMaBa10.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Kandaswamy Krishna
                    Kumar,
                
        
    
        
        
        
            
            
                    P.N.
                    Suganthan,
                
        
    
        
        
        
            
            
                    
                    G.Archunan, and
                
        
    
        
        
        
            
            
                    
                    R.Sowdhamini,
                
        
    
Identification of functionally diverse lipocalin proteins from sequence information using support vector machine, Amino Acids , vol. 39, pp. 777--783, 2010.
Identification of functionally diverse lipocalin proteins from sequence information using support vector machine, Amino Acids , vol. 39, pp. 777--783, 2010.
        
    
    
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    P. N.
                    Suganthan,
                
        
    
        
        
        
            
            
                    
                    R.Sowdhamini,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Prasanna
                    Kolatkar,
                
        
    
{SMpred}: {A} {S}upport {V}ector {M}achine {A}pproach to {I}dentify {S}tructural {M}otifs in {P}rotein {S}tructure {W}ithout {U}sing {E}volutionary {I}nformation, Journal of Biomolecular Structure and Dynamics , vol. 28, no. 3, 2010.
{SMpred}: {A} {S}upport {V}ector {M}achine {A}pproach to {I}dentify {S}tructural {M}otifs in {P}rotein {S}tructure {W}ithout {U}sing {E}volutionary {I}nformation, Journal of Biomolecular Structure and Dynamics , vol. 28, no. 3, 2010.
| Datei: | |
| Bibtex: | @article{PuKaSuSoMaKo10,
author = {Ganesan Pugalenthi and Krishna Kumar Kandaswamy and P. N. Suganthan and R.Sowdhamini and Thomas Martinetz and Prasanna Kolatkar},
title = {{SMpred}: {A} {S}upport {V}ector {M}achine {A}pproach to {I}dentify {S}tructural {M}otifs in {P}rotein {S}tructure {W}ithout {U}sing {E}volutionary {I}nformation},
journal = {Journal of Biomolecular Structure and Dynamics},
volume = {28},
number = {3},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PuKaSuSoMaKo10.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A Learned Saliency Predictor for Dynamic Natural Scenes, in ICANN 2010, Part III , K. Diamantaras and W. Duch and L. S. Iliadis, Eds. Thessaloniki, Greece: Springer, 2010. pp. 52--61.
A Learned Saliency Predictor for Dynamic Natural Scenes, in ICANN 2010, Part III , K. Diamantaras and W. Duch and L. S. Iliadis, Eds. Thessaloniki, Greece: Springer, 2010. pp. 52--61.
| Datei: | |
| Bibtex: | @inproceedings{ViDoMaBa10a,
author = {Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth},
title = {A {L}earned {S}aliency {P}redictor for {D}ynamic {N}atural {S}cenes},
booktitle = {ICANN 2010, Part III},
editor = {K. Diamantaras and W. Duch and L. S. Iliadis},
series = {Lecture Notes in Computer Science},
volume = {6354},
pages = {52--61},
publisher = {Springer},
year = {2010},
address = {Thessaloniki, Greece},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoMaBa10a.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
        
        
        
            
            
                    Enno
                    Hartmann,
                
        
    
        
        
        
            
            
                    Kai-Uwe
                    Kalies,
                
        
    
        
        
        
            
            
                    
                    P.N.Suganthan, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Prediction of apoptosis protein locations with Genetic Algorithms and Support Vector Machines through a new mode of pseudo amino acid composition, Protein Peptide Letters , vol. 17, pp. 1473--1479, 2010.
Prediction of apoptosis protein locations with Genetic Algorithms and Support Vector Machines through a new mode of pseudo amino acid composition, Protein Peptide Letters , vol. 17, pp. 1473--1479, 2010.
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Bag of Pursuits and Neural Gas for Improved Sparse Coding, in Proceedings of the 19th International Conference on Computational Statistics , Gilbert Saporta, Eds. Springer, 2010. pp. 327--336.
Bag of Pursuits and Neural Gas for Improved Sparse Coding, in Proceedings of the 19th International Conference on Computational Statistics , Gilbert Saporta, Eds. Springer, 2010. pp. 327--336.
| Datei: | |
| Bibtex: | @inproceedings{LaBaMa10b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{B}ag of {P}ursuits and {N}eural {G}as for {I}mproved {S}parse {C}oding},
editor = {Gilbert Saporta},
booktitle = {Proceedings of the 19th International Conference on Computational Statistics},
publisher = {Springer},
pages = {327--336},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa10b.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Laura
                    Pomarjanschi, and
                
        
    
        
        
        
            
            
                    Cicero
                    Mota,
                
        
    
Efficient coding and multiple motions, Vision Research , vol. 50, no. 22, pp. 2190--2199, 2010.
Efficient coding and multiple motions, Vision Research , vol. 50, no. 22, pp. 2190--2199, 2010.
| Datei: | |
| Bibtex: | @article{BaDoViPoMo10,
author = {Erhardt Barth and Michael Dorr and Eleonora Vig and Laura Pomarjanschi and Cicero Mota},
title = {Efficient coding and multiple motions},
journal = {Vision Research},
volume = {50},
number = {22},
pages = {2190--2199},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BaDoViPoMo10.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Sascha
                Klement, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
A new approach to classification with the least number of features, in Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Washington, D.C, USA, 12--14 December, 2010 , IEEE Computer Society, 2010. pp. 141--146.
A new approach to classification with the least number of features, in Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Washington, D.C, USA, 12--14 December, 2010 , IEEE Computer Society, 2010. pp. 141--146.
| Datei: | |
| Bibtex: | @inproceedings{KlMa10a,
author = {Klement, Sascha and Martinetz, Thomas},
title = {A new approach to classification with the least number of features},
booktitle = {Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Washington, D.C, USA, 12--14 December, 2010},
year = {2010},
publisher = {IEEE Computer Society},
pages = {141--146},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlMa10a.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Khader
                    Shameer,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    Krishna Kumar
                    Kandaswamy,
                
        
    
        
        
        
            
            
                    Ponnuthurai N.
                    Suganthan,
                
        
    
        
        
        
            
            
                    Govindaraju
                    Archunan, and
                
        
    
        
        
        
            
            
                    Ramanathan
                    Sowdhamini,
                
        
    
Insights into protein sequence and structure derived features mediating 3D domain swapping mechanism using Support Vector Machine based approach, Bioinformatics and Biology Insights , vol. 4, pp. 33--42, 2010.
Insights into protein sequence and structure derived features mediating 3D domain swapping mechanism using Support Vector Machine based approach, Bioinformatics and Biology Insights , vol. 4, pp. 33--42, 2010.
        
    
    
    
    
        
        
            
                Kai
                Labusch, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
Learning Sparse Codes for Image Reconstruction, in Proceedings of the 18th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2010. pp. 241--246.
Learning Sparse Codes for Image Reconstruction, in Proceedings of the 18th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2010. pp. 241--246.
| Datei: | |
| Bibtex: | @inproceedings{LaMa10,
author = {Kai Labusch and Thomas Martinetz},
title = {{L}earning {S}parse {C}odes for {I}mage {R}econstruction},
booktitle = {Proceedings of the 18th European Symposium on Artificial Neural Networks},
publisher = {D-Side Publishers},
year = {2010},
pages = {241--246},
editor = {Michel Verleysen},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaMa10.pdf}
}
 | 
        
    
    
    
    
        
        
            
                Markus
                Schütt, and
            
            
        
        
    
        
        
            
            
                Jens Christian
                Claussen,
            
        
        
    
Mean extinction times in cyclic coevolutionary rock-paper-scissors dynamics, 2010.
Mean extinction times in cyclic coevolutionary rock-paper-scissors dynamics, 2010.
| Datei: | 1003.2427 | 
| Bibtex: | @misc{ScCl10a,
author = {Markus Sch{\"u}tt and Jens Christian Claussen},
title = {Mean extinction times in cyclic coevolutionary rock-paper-scissors dynamics},
note = {working paper q-bio},
year = {2010},
url = {http://arxiv.org/abs/1003.2427}
}
 | 
        
    
    
    
        
        
            
                Thomas
                Binder, and
            
            
        
        
    
        
        
            
            
                Thomas
                Martinetz,
            
        
        
    
On the boundedness of an iteration involving points on the hypersphere, arXiv:1001.1624v2 [cs.CG] , 2010.
On the boundedness of an iteration involving points on the hypersphere, arXiv:1001.1624v2 [cs.CG] , 2010.
| Datei: | |
| Bibtex: | @article{BiMa10,
author = {Thomas Binder and Thomas Martinetz},
title = {On the boundedness of an iteration involving points on the hypersphere}, 
journal = {arXiv:1001.1624v2 [cs.CG]},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BiMa10.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Fabian
                    Timm,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Optical Inspection of Welding Seams, in Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers , Springer Series Communications in Computer Science and Information Science, 2010. pp. 269--282.
Optical Inspection of Welding Seams, in Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers , Springer Series Communications in Computer Science and Information Science, 2010. pp. 269--282.
| Datei: | |
| Bibtex: | @inproceedings{TiMaBa10,
author = {Fabian Timm and Thomas Martinetz and Erhardt Barth},
title = {Optical {I}nspection of {W}elding {S}eams},
booktitle = {Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers},
publisher = {Springer Series Communications in Computer Science and Information Science},
year = {2010},
volume = {68},
pages = {269--282},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiMaBa10.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Ingrid
                    Brænne,
                
        
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Amir Madany
                    Mamlouk,
                
        
    
Interpretive Risk Assessment on GWA Data with Sparse Linear Regression, Machine Learning Reports , pp. 61--68, 2010.
Interpretive Risk Assessment on GWA Data with Sparse Linear Regression, Machine Learning Reports , pp. 61--68, 2010.
| Datei: | |
| Bibtex: | @article{BrLaMaMa10,
author = {Ingrid Br{\ae}nne and Kai Labusch and Thomas Martinetz and Amir Madany Mamlouk},
title = {Interpretive {R}isk {A}ssessment on {GWA} {D}ata with {S}parse {L}inear {R}egression},
journal = {Machine Learning Reports},
pages = {61--68},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BrLaMaMa10.pdf}
}
 | 
2009
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Head {T}racking {W}ith {C}ombined {F}ace {A}nd {N}ose {D}etection, in Proceedings of the {IEEE} {I}nternational {S}ymposium on {S}ignals, {C}ircuits \& {S}ystems ({ISSCS}) , Iasi, Romania , 2009. pp. 1--4.
Head {T}racking {W}ith {C}ombined {F}ace {A}nd {N}ose {D}etection, in Proceedings of the {IEEE} {I}nternational {S}ymposium on {S}ignals, {C}ircuits \& {S}ystems ({ISSCS}) , Iasi, Romania , 2009. pp. 1--4.
| Datei: | |
| Bibtex: | @inproceedings{BoHaMaBa09a,
author = {Martin B{\"o}hme and Martin Haker and Thomas Martinetz and Erhardt Barth},
title = {Head {T}racking {W}ith {C}ombined {F}ace {A}nd {N}ose {D}etection},
booktitle = {Proceedings of the {IEEE} {I}nternational {S}ymposium on {S}ignals, {C}ircuits \& {S}ystems ({ISSCS})},
address = {Iasi, Romania},
pages = {1--4},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BoHaMaBa09a.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Kolja
                    Riemer,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Face {D}etection {U}sing a {T}ime-of-{F}light {C}amera, in Dynamic 3D Imaging -- Workshop in Conjunction with DAGM , 2009. pp. 167--176.
Face {D}etection {U}sing a {T}ime-of-{F}light {C}amera, in Dynamic 3D Imaging -- Workshop in Conjunction with DAGM , 2009. pp. 167--176.
| Datei: | |
| Bibtex: | @inproceedings{BoHaRiMaBa09,
author = {Martin B{\"o}hme and Martin Haker and Kolja Riemer and Thomas Martinetz and Erhardt Barth},
title = {Face {D}etection {U}sing a {T}ime-of-{F}light {C}amera},
booktitle = {Dynamic 3D Imaging -- Workshop in Conjunction with DAGM},
series = {Lecture Notes in Computer Science},
volume = {5742},
pages = {167--176},
year = {2009},
note = {http://www.springerlink.com/content/023881623j67r336/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BoHaRiMaBa09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Laura
                    Pomarjanschi, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Gaze beats mouse: A case study on a gaze-controlled {B}reakout, PsychNology , vol. 7, no. 2, pp. 197--211, 2009.
Gaze beats mouse: A case study on a gaze-controlled {B}reakout, PsychNology , vol. 7, no. 2, pp. 197--211, 2009.
| Datei: | 429.php | 
| Bibtex: | @article{DoPoBa09,
author = {Michael Dorr and Laura Pomarjanschi and Erhardt Barth},
title = {Gaze beats mouse: A case study on a gaze-controlled {B}reakout},
journal = {PsychNology},
volume = {7},
number = {2},
pages = {197--211},
year = {2009},
url = {http://www.psychnology.org/429.php}
}
 | 
        
    
    
    
    
        
        
            
                Michael
                Dorr, and
            
            
        
        
    
        
        
            
            
                Erhardt
                Barth,
            
        
        
    
Gaze guidance for improved visual communication, 2009.
Gaze guidance for improved visual communication, 2009.
| Datei: | |
| Bibtex: | @misc{DoBa09a,
author = {Michael Dorr and Erhardt Barth},
title = {Gaze guidance for improved visual communication},
booktitle = {PerAda Magazine towards pervasive adaptation},
year = {2009},
url = {http://www.perada-magazine.eu/pdf/1793/1793.pdf},
note = {http://www.perada-magazine.eu/view.php?source=1793-2009-08-20}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Self-{O}rganizing {M}aps for {P}ose {E}stimation with a {T}ime-of-{F}light {C}amera, in Dynamic 3D Imaging -- Workshop in Conjunction with DAGM , 2009. pp. 142--153.
Self-{O}rganizing {M}aps for {P}ose {E}stimation with a {T}ime-of-{F}light {C}amera, in Dynamic 3D Imaging -- Workshop in Conjunction with DAGM , 2009. pp. 142--153.
| Datei: | |
| Bibtex: | @inproceedings{HaBoMaBa09a,
author = {Martin Haker and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
title = {Self-{O}rganizing {M}aps for {P}ose {E}stimation with a {T}ime-of-{F}light {C}amera},
booktitle = {Dynamic 3D Imaging -- Workshop in Conjunction with DAGM},
series = {Lecture Notes in Computer Science},
volume = {5742},
pages = {142--153},
year = {2009},
note = {http://www.springerlink.com/content/006305183070t383/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HaBoMaBa09a.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Halszka
                    Jarodzka,
                
        
    
        
        
        
            
            
                    Katharina
                    Scheiter,
                
        
    
        
        
        
            
            
                    Peter
                    Gerjets,
                
        
    
        
        
        
            
            
                    Tamara
                    Gog, and
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
How to convey perceptual skills by displaying experts' gaze data, in Proceedings of the 31st Annual Conference of the Cognitive Science Society , N. A. Taatgen and H. van Rijn, Eds. Austin, TX: Cognitive Science Society, 2009. pp. 2920--2925.
How to convey perceptual skills by displaying experts' gaze data, in Proceedings of the 31st Annual Conference of the Cognitive Science Society , N. A. Taatgen and H. van Rijn, Eds. Austin, TX: Cognitive Science Society, 2009. pp. 2920--2925.
        
    
    
    
        
        
        
            
            
                    K. Krishna
                    Kumar,
                
        
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi, and
                
        
    
        
        
        
            
            
                    P.N.
                    Suganthan,
                
        
    
Identification of {DNA} binding proteins from protein sequence information using random forest method, Journal of Biomolecular Structure and Dynamics , vol. 26, pp. 663--895, 2009.
Identification of {DNA} binding proteins from protein sequence information using random forest method, Journal of Biomolecular Structure and Dynamics , vol. 26, pp. 663--895, 2009.
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Multimodal {S}parse {F}eatures for {O}bject {D}etection, in Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14--17, 2009, Proceedings , Springer, 2009. pp. 923--932.
Multimodal {S}parse {F}eatures for {O}bject {D}etection, in Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14--17, 2009, Proceedings , Springer, 2009. pp. 923--932.
| Datei: | |
| Bibtex: | @inproceedings{HaMaBa09,
author = {Martin Haker and Thomas Martinetz and Erhardt Barth},
title = {Multimodal {S}parse {F}eatures for {O}bject {D}etection},
booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14--17, 2009, Proceedings},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {5769},
pages = {923--932},
year = {2009},
note = {http://www.springerlink.com/content/574230078m0228wh/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HaMaBa09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Karl
                    Gegenfurtner, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
The contribution of low-level features at the centre of gaze to saccade target selection, Vision Research , vol. 49, no. 24, pp. 2918--2926, 2009.
The contribution of low-level features at the centre of gaze to saccade target selection, Vision Research , vol. 49, no. 24, pp. 2918--2926, 2009.
| Datei: | |
| Bibtex: | @article{DoGeBa09,
author = {Michael Dorr and Karl Gegenfurtner and Erhardt Barth},
title = {The contribution of low-level features at the centre of gaze to saccade target selection},
journal = {Vision Research},
volume = {49},
number = {24},
pages = {2918--2926},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoGeBa09.pdf},
abstract = {Does it matter what observers are looking at right now to determine where they will look next? We recorded eye movements and computed colour, local orientation, motion, and geometrical invariants on dynamic natural scenes. The distributions of differences between features at successive fixations were compared with those from random scanpaths of varying similarity to natural scanpaths. Although distributions show significant differences, these feature correlations are mainly due to spatio-temporal correlations in natural scenes and a target selection bias, e.g. towards moving objects. Our results indicate that low-level features at fixation contribute little to the choice of the next saccade target.}
}
 | 
        
    
    
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
        
        
        
            
            
                    Michel
                    Le Van Quyen,
                
        
    
        
        
        
            
            
                    Mario
                    Chavez,
                
        
    
        
        
        
            
            
                    Jan
                    Köhler,
                
        
    
        
        
        
            
            
                    Jörg
                    Mayer, and
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen,
                
        
    
Dynamical {B}ehavior and {C}ontrol of {C}oupled {T}hreshold {E}lements with {S}elf-{I}nhibition, International Journal of Bifurcation and Chaos , vol. 19, no. 9, pp. 3119--3128, 2009.
Dynamical {B}ehavior and {C}ontrol of {C}oupled {T}hreshold {E}lements with {S}elf-{I}nhibition, International Journal of Bifurcation and Chaos , vol. 19, no. 9, pp. 3119--3128, 2009.
| Datei: | S0218127409024694 | 
| Bibtex: | @article{ScQuChKoMaCl09,
author = {Heinz Georg Schuster and Le Van Quyen, Michel and Mario Chavez and Jan K{\"o}hler and J{\"o}rg Mayer and Jens Christian Claussen},
title = {Dynamical {B}ehavior and {C}ontrol of {C}oupled {T}hreshold {E}lements with {S}elf-{I}nhibition},
journal = {International Journal of Bifurcation and Chaos},
pages = {3119--3128},
volume = {19},
number = {9},
year = {2009},
abstract= {Coupled threshold elements with self-inhibition display a phase transition to an oscillating state where the elements fire in synchrony with a period T that is of the order of the dead-time caused by self-inhibition. This transition is noise-activated and therefore displays strong collectively enhanced stochastic resonance. For an exponentially decaying distribution of dead-times the transition to the oscillating state occurs, coming from high noise temperatures, via a Hopf bifurcation and coming from low temperatures, via a saddle node bifurcation. The transitions can be triggered externally by noise and oscillating signals. This opens up new possibilities for controlling slow wave sleep.},
url = {http://dx.doi.org/10.1142/S0218127409024694}
}
 | 
        
    
    
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Efficient visual coding and the predictability of eye movements on natural movies, Spatial Vision , vol. 22, no. 5, pp. 397--408, 2009.
Efficient visual coding and the predictability of eye movements on natural movies, Spatial Vision , vol. 22, no. 5, pp. 397--408, 2009.
| Datei: | |
| Bibtex: | @article{ViDoBa09,
author = {Eleonora Vig and Michael Dorr and Erhardt Barth},
title = {Efficient visual coding and the predictability of eye movements on natural movies},
journal = {Spatial Vision},
volume = {22},
number = {5},
pages = {397--408},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ViDoBa09.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Fabian
                    Timm,
                
        
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Welding {I}nspection {U}sing {N}ovel {S}pecularity {F}eatures and {A} {O}ne-{C}lass {SVM}, in Proceedings of the Int. Conference on Computer Theory and Applications {(VISAPP)} , Lisboa, Portugal: INSTICC, 2009. pp. 146--153.
Welding {I}nspection {U}sing {N}ovel {S}pecularity {F}eatures and {A} {O}ne-{C}lass {SVM}, in Proceedings of the Int. Conference on Computer Theory and Applications {(VISAPP)} , Lisboa, Portugal: INSTICC, 2009. pp. 146--153.
| Datei: | |
| Bibtex: | @inproceedings{TiKlMaBa09,
author = {Fabian Timm and Sascha Klement and Thomas Martinetz and Erhardt Barth},
title = {Welding {I}nspection {U}sing {N}ovel {S}pecularity {F}eatures and {A} {O}ne-{C}lass {SVM}},
booktitle = {Proceedings of the Int. Conference on Computer Theory and Applications {(VISAPP)}},
publisher = {INSTICC},
address = {Lisboa, Portugal},
year = {2009},
pages = {146--153},
volume = {1},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiKlMaBa09.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Deictic {G}estures {W}ith {A} {T}ime-of-{F}light {C}amera, in Gesture in Embodied Communication and Human-Computer Interaction -- International Gesture Workshop GW 2009 , Stefan Kopp and Ipke Wachsmuth, Eds. Springer, 2009. pp. 110--121.
Deictic {G}estures {W}ith {A} {T}ime-of-{F}light {C}amera, in Gesture in Embodied Communication and Human-Computer Interaction -- International Gesture Workshop GW 2009 , Stefan Kopp and Ipke Wachsmuth, Eds. Springer, 2009. pp. 110--121.
| Datei: | |
| Bibtex: | @inproceedings{HaBoMaBa09,
author = {Martin Haker and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
title = {Deictic {G}estures {W}ith {A} {T}ime-of-{F}light {C}amera},
booktitle = {Gesture in Embodied Communication and Human-Computer Interaction -- International Gesture Workshop GW 2009},
editor = {Stefan Kopp and Ipke Wachsmuth},
pages = {110--121},
publisher = {Springer},
series = {LNAI},
volume = {5934},
year = {2009},
note = {http://www.springerlink.com/content/uw12051512tk5261/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HaBoMaBa09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Andreas
                    Kolb,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Reinhard
                    Koch, and
                
        
    
        
        
        
            
            
                    Rasmus
                    Larsen,
                
        
    
{T}ime-of-{F}light {S}ensors in {C}omputer {G}raphics, Eurographics State of the Art Reports , pp. 119--134, 2009.
{T}ime-of-{F}light {S}ensors in {C}omputer {G}raphics, Eurographics State of the Art Reports , pp. 119--134, 2009.
| Datei: | |
| Bibtex: | @article{KoBaKoLa09,
author = {Andreas Kolb and Erhardt Barth and Reinhard Koch and Rasmus Larsen},
title = {{T}ime-of-{F}light {S}ensors in {C}omputer {G}raphics},
editor = {M. Pauly and G. Greiner},
journal = {Eurographics State of the Art Reports},
pages = {119--134},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KoBaKoLa09.pdf}
}
 | 
        
    
    
    
        
            Amir Madany Mamlouk,
        
        
        
    
Computergestützte {A}nalyse von biologischen {W}ahrnehmungsprozessen, GI-Edition - Lecture Notes in Informatics (LNI) , pp. 171--180, 2009.
Computergestützte {A}nalyse von biologischen {W}ahrnehmungsprozessen, GI-Edition - Lecture Notes in Informatics (LNI) , pp. 171--180, 2009.
| Datei: | |
| Bibtex: | @article{Mada09,
author = {Madany Mamlouk, Amir},
title = {Computergest{\"u}tzte {A}nalyse von biologischen {W}ahrnehmungsprozessen},
journal = {GI-Edition - Lecture Notes in Informatics (LNI)},
pages = {171--180},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/Mada09.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as, in Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009 , J.C. Principe and R. Miikkulainen, Eds. Springer, 2009. pp. 145--153.
{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as, in Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009 , J.C. Principe and R. Miikkulainen, Eds. Springer, 2009. pp. 145--153.
| Datei: | |
| Bibtex: | @inproceedings{LaBaMa09a,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as},
editor = {J.C. Principe and R. Miikkulainen},
booktitle = {Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009},
publisher = {Springer}, series = {Lecture Notes in Computer Science},
volume = {5629},
pages = {145--153},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09a.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, Neural Network World , vol. 19, no. 5, pp. 561--579, 2009. Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague.
{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, Neural Network World , vol. 19, no. 5, pp. 561--579, 2009. Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague.
| Datei: | SparseCodingNeuralGas.html | 
| Bibtex: | @article{LaBaMa09b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {Neural Network World},
publisher = {Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague},
title = {{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources},
volume = {19},
number = {5},
year = {2009},
pages = {561--579},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09b.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
 | 
        
    
    
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
        
        
        
            
            
                    Kai
                    Labusch, and
                
        
    
        
        
        
            
            
                    Daniel
                    Schneegaß,
                
        
    
{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines, IEEE Transactions on Neural Networks , vol. 20, no. 7, pp. 1061--1072, 2009.
{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines, IEEE Transactions on Neural Networks , vol. 20, no. 7, pp. 1061--1072, 2009.
| Datei: | |
| Bibtex: | @article{MaLaSc09,
author = {Thomas Martinetz and Kai Labusch and Daniel Schneega{\ss}},
journal = {IEEE Transactions on Neural Networks},
title = {{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines},
year = {2009},
volume = {20},
number = {7},
pages = {1061--1072},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SoftDoubleMaxMinOver.html},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaLaSc09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations, Neurocomputing , vol. 72, no. 7--9, pp. 1547--1555, 2009.
{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations, Neurocomputing , vol. 72, no. 7--9, pp. 1547--1555, 2009.
| Datei: | SparseCodingNeuralGas.html | 
| Bibtex: | @article{LaBaMa09,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {Neurocomputing},
title = {{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations},
year = {2009},
volume = {72},
number = {7--9},
pages = {1547--1555},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
 }
 | 
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Christoph
                    Rasche, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A Gaze-Contingent, Acuity-Adjusted Mouse Cursor, in 5th Conference on Communication by Gaze Interaction (COGAIN) , Arantxa Villanueva and John Paulin Hansen and Bjarne Kj{\ae}r Ersb{\o}ll, Eds. 2009. pp. 39--41.
A Gaze-Contingent, Acuity-Adjusted Mouse Cursor, in 5th Conference on Communication by Gaze Interaction (COGAIN) , Arantxa Villanueva and John Paulin Hansen and Bjarne Kj{\ae}r Ersb{\o}ll, Eds. 2009. pp. 39--41.
| Datei: | |
| Bibtex: | @inproceedings{DoRaBa09,
author = {Michael Dorr and Christoph Rasche and Erhardt Barth},
title = {A Gaze-Contingent, Acuity-Adjusted Mouse Cursor},
booktitle = {5th Conference on Communication by Gaze Interaction (COGAIN)},
editor = {Arantxa Villanueva and John Paulin Hansen and Bjarne Kj{\ae}r Ersb{\o}ll},
pages = {39--41},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoRaBa09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Arantxa
                    Villanueva,
                
        
    
        
        
        
            
            
                    Gintautas
                    Daunys,
                
        
    
        
        
        
            
            
                    Dan Witzner
                    Hansen,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Rafael
                    Cabeza,
                
        
    
        
        
        
            
            
                    André
                    Meyer, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A geometric approach to remote eye tracking, Universal Access in the Information Society , vol. 8, no. 4, pp. 241--257, 2009.
A geometric approach to remote eye tracking, Universal Access in the Information Society , vol. 8, no. 4, pp. 241--257, 2009.
        
    
    
    
    
        
        
        
            
            
                    Cristina
                    Darolti,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Christoph
                    Bodensteiner, and
                
        
    
        
        
        
            
            
                    Ulrich G.
                    Hofmann,
                
        
    
Active contours that grow and compete driven by local region descriptors, in Human Vision and Electronic Imaging XIV , Proceedings of SPIE, 2009.
Active contours that grow and compete driven by local region descriptors, in Human Vision and Electronic Imaging XIV , Proceedings of SPIE, 2009.
        
    
    
    
        
        
        
            
            
                    Dirk
                    Repsilber,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Mats
                    Björklund,
                
        
    
Adaptive {D}ynamics of {R}egulatory {N}etworks: {S}ize {M}atters, EURASIP Journal on Bioinformatics and Systems Biology , vol. 2009, 2009.
Adaptive {D}ynamics of {R}egulatory {N}etworks: {S}ize {M}atters, EURASIP Journal on Bioinformatics and Systems Biology , vol. 2009, 2009.
| Datei: | |
| Bibtex: | @article{ReMaBj09,
author = {Dirk Repsilber and Thomas Martinetz and Mats Bj{\"o}rklund},
title = {Adaptive {D}ynamics of {R}egulatory {N}etworks: {S}ize {M}atters},
journal = {EURASIP Journal on Bioinformatics and Systems Biology},
volume = {2009},
note = {{A}rticle {ID} 618502, 10 pages, doi:10.1155/2009/618502},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ReMaBj09.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    X.
                    Zhou,
                
        
    
        
        
        
            
            
                    H.
                    Krabbenhöft,
                
        
    
        
        
        
            
            
                    M.
                    Niinimäki,
                
        
    
        
        
        
            
            
                    A.
                    Depeuringe,
                
        
    
        
        
        
            
            
                    S.
                    Möller, and
                
        
    
        
        
        
            
            
                    H.
                    Müller,
                
        
    
An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC, Stud Health Technol Inform. , vol. 147, pp. 41--50, 2009.
An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC, Stud Health Technol Inform. , vol. 147, pp. 41--50, 2009.
        
    
    
    
        
        
            
                H. G.
                Danielmeyer, and
            
            
        
        
    
        
        
            
            
                T.
                Martinetz,
            
        
        
    
"An exact theory of the industrial evolution and national recovery" 2009.
"An exact theory of the industrial evolution and national recovery" 2009.
| Datei: | |
| Bibtex: | @techreport{DaMa09,
author = {H. G. Danielmeyer and T. Martinetz},
title = {An exact theory of the industrial evolution and national recovery},
institution = {Institut f{\"u}r Neuro- und Bioinformatik der Universit{\"at} zu L{\"u}beck, www.inb.uni-luebeck.de},
type = {Technical Report},
number = {SIIM-TR-A-09-05, version 11-09},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DaMa09.pdf}
}
 | 
2008
        
    
    
    
        
        
        
            
            
                    Patrick
                    Linsel-Nitschke,
                
        
    
        
        
        
            
            
                    Anika
                    Goetz,
                
        
    
        
        
        
            
            
                    Jeanette
                    Erdmann,
                
        
    
        
        
        
            
            
                    Ingrid
                    Brænne,
                
        
    
        
        
        
            
            
                    Peter
                    Braund,
                
        
    
        
        
        
            
            
                    Christian
                    Hengstenberg,
                
        
    
        
        
        
            
            
                    Klaus
                    Stark,
                
        
    
        
        
        
            
            
                    Marcus
                    Fischer,
                
        
    
        
        
        
            
            
                    Stefan
                    Schreiber,
                
        
    
        
        
        
            
            
                    Nour Eddine El
                    Mokhtari,
                
        
    
        
        
        
            
            
                    Arne
                    Schaefer,
                
        
    
        
        
        
            
            
                    Juergen
                    Schrezenmeir,
                
        
    
        
        
        
            
            
                    Juergen
                    Schrezenmeier,
                
        
    
        
        
        
            
            
                    Diana
                    Rubin,
                
        
    
        
        
        
            
            
                    Anke
                    Hinney,
                
        
    
        
        
        
            
            
                    Thomas
                    Reinehr,
                
        
    
        
        
        
            
            
                    Christian
                    Roth,
                
        
    
        
        
        
            
            
                    Jan
                    Ortlepp,
                
        
    
        
        
        
            
            
                    Peter
                    Hanrath,
                
        
    
        
        
        
            
            
                    Alistair S.
                    Hall,
                
        
    
        
        
        
            
            
                    Massimo
                    Mangino,
                
        
    
        
        
        
            
            
                    Wolfgang
                    Lieb,
                
        
    
        
        
        
            
            
                    Claudia
                    Lamina,
                
        
    
        
        
        
            
            
                    Iris M.
                    Heid,
                
        
    
        
        
        
            
            
                    Angela
                    Doering,
                
        
    
        
        
        
            
            
                    Christian
                    Gieger,
                
        
    
        
        
        
            
            
                    Annette
                    Peters,
                
        
    
        
        
        
            
            
                    Thomas
                    Meitinger,
                
        
    
        
        
        
            
            
                    {H.-Erich}
                    Wichmann,
                
        
    
        
        
        
            
            
                    Inke R.
                    Koenig,
                
        
    
        
        
        
            
            
                    Andreas
                    Ziegler,
                
        
    
        
        
        
            
            
                    Florian
                    Kronenberg,
                
        
    
        
        
        
            
            
                    Nilesh J.
                    Samani, and
                
        
    
        
        
        
            
            
                    Heribert
                    Schunkert,
                
        
    
Lifelong reduction of {LDL-cholesterol} related to a common variant in the {LDL-receptor} gene decreases the risk of coronary artery disease--a {M}endelian {R}andomisation study, {PloS} One , vol. 3, no. 8, pp. e2986, 2008.
Lifelong reduction of {LDL-cholesterol} related to a common variant in the {LDL-receptor} gene decreases the risk of coronary artery disease--a {M}endelian {R}andomisation study, {PloS} One , vol. 3, no. 8, pp. e2986, 2008.
| DOI: | 10.1371/journal.pone.0002986 | 
| Datei: | journal.pone.0002986 | 
| Bibtex: | @article{LiGoErBr08,
author = {Patrick {Linsel-Nitschke} and Anika Goetz and Jeanette Erdmann and Ingrid Br{\ae}nne and Peter Braund and Christian Hengstenberg and Klaus Stark and Marcus Fischer and Stefan Schreiber and Nour Eddine El Mokhtari and Arne Schaefer and Juergen Schrezenmeir and Juergen Schrezenmeier and Diana Rubin and Anke Hinney and Thomas Reinehr and Christian Roth and Jan Ortlepp and Peter Hanrath and Alistair S. Hall and Massimo Mangino and Wolfgang Lieb and Claudia Lamina and Iris M. Heid and Angela Doering and Christian Gieger and Annette Peters and Thomas Meitinger and {H.-Erich} Wichmann and Inke R. Koenig and Andreas Ziegler and Florian Kronenberg and Nilesh J. Samani and Heribert Schunkert},
title = {Lifelong reduction of {LDL-cholesterol} related to a common variant in the {LDL-receptor} gene decreases the risk of coronary artery disease--a {M}endelian {R}andomisation study},
journal = {{PloS} One},
volume = {3},
number = {8},
issn = {1932--6203},
year = {2008},
pages = {e2986},
note = {{PMID:} 18714375},
url = {http://www.ncbi.nlm.nih.gov/pubmed/18714375},
doi = {10.1371/journal.pone.0002986},
url = {https://doi.org/10.1371/journal.pone.0002986}
}
 | 
        
    
    
    
        
            Kolja Riemer,
        
        
        
    
Gesichtsdetektion mit {T}ime-of-{F}light-{K}ameras, Diploma Thesis, Universität zu Lübeck, 2008.
Gesichtsdetektion mit {T}ime-of-{F}light-{K}ameras, Diploma Thesis, Universität zu Lübeck, 2008.
| Datei: | |
| Bibtex: | @mastersthesis{Riem08,
author = {Kolja Riemer},
title = {Gesichtsdetektion mit {T}ime-of-{F}light-{K}ameras},
year = {2008},
school = {Universit{\"a}t zu L{\"u}beck},
type = {Diploma Thesis},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/Riem08.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Ganesan
                    Pugalenthi,
                
        
    
        
        
        
            
            
                    K. Krishna
                    Kumar,
                
        
    
        
        
        
            
            
                    P.N.
                    Suganthan, and
                
        
    
        
        
        
            
            
                    Rajeev
                    Gangal,
                
        
    
Identification of catalytic residues from protein structure using {S}upport {V}ector {M}achine with sequence and structural features, Biochemical and Biophysical Research Communications , vol. 367, pp. 630--634, 2008.
Identification of catalytic residues from protein structure using {S}upport {V}ector {M}achine with sequence and structural features, Biochemical and Biophysical Research Communications , vol. 367, pp. 630--634, 2008.
        
    
    
    
        
        
        
            
            
                    Hajo N.
                    Krabbenhöft,
                
        
    
        
        
        
            
            
                    Steffen
                    Möller, and
                
        
    
        
        
        
            
            
                    Daniel
                    Bayer,
                
        
    
Integrating {ARC} {G}rid {M}iddleware with {T}averna {W}orkflows, Bioinformatics , vol. 24, no. 9, pp. 1221--1222, 2008.
Integrating {ARC} {G}rid {M}iddleware with {T}averna {W}orkflows, Bioinformatics , vol. 24, no. 9, pp. 1221--1222, 2008.
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Learning data representations with Sparse Coding Neural Gas, in Proceedings of the 16th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2008. pp. 233--238.
Learning data representations with Sparse Coding Neural Gas, in Proceedings of the 16th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2008. pp. 233--238.
| Datei: | SparseCodingNeuralGas.html | 
| Bibtex: | @inproceedings{LaBaMa08,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {Learning data representations with Sparse Coding Neural Gas},
booktitle = {Proceedings of the 16th European Symposium on Artificial Neural Networks},
publisher = {D-Side Publishers},
year = {2008},
editor = {Michel Verleysen},
pages = {233--238},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
 | 
        
    
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Time-evolution of the Rule 150 cellular automaton activity on two-dimensional and Bethe lattices, in Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig , 2008.
Time-evolution of the Rule 150 cellular automaton activity on two-dimensional and Bethe lattices, in Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig , 2008.
| Datei: | index.php | 
| Bibtex: | @inproceedings{Cl08c,
author = {Jens Christian Claussen},
title = {Time-evolution of the Rule 150 cellular automaton activity on two-dimensional and Bethe lattices},
booktitle = {Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig},
year = {2008},
url = {http://gwal.izbi.uni-leipzig.de/index.php?page=70}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Christoph S.
                    Garbe,
                
        
    
        
        
        
            
            
                    Kai
                    Krajsek,
                
        
    
        
        
        
            
            
                    Pavel
                    Pavlov,
                
        
    
        
        
        
            
            
                    Björn
                    Andres,
                
        
    
        
        
        
            
            
                    Matthias
                    Mühlich,
                
        
    
        
        
        
            
            
                    Ingo
                    Stuke,
                
        
    
        
        
        
            
            
                    Cicero
                    Mota,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Tobias
                    Schuchert,
                
        
    
        
        
        
            
            
                    Hanno
                    Scharr,
                
        
    
        
        
        
            
            
                    Til
                    Aach,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
        
        
        
            
            
                    Rudolf
                    Mester, and
                
        
    
        
        
        
            
            
                    Bernd
                    Jähne,
                
        
    
Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns, in Mathematical Methods in Time Series Analysis and Digital Image Processing , Rainer Dahlhaus and Jürgen Kurths and Peter Maaß and Jens Timmer, Eds. Springer, 2008, pp. 231--288.
Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns, in Mathematical Methods in Time Series Analysis and Digital Image Processing , Rainer Dahlhaus and Jürgen Kurths and Peter Maaß and Jens Timmer, Eds. Springer, 2008, pp. 231--288.
        
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding, IEEE Transactions on Neural Networks , vol. 19, no. 11, pp. 1985--1989, 2008.
Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding, IEEE Transactions on Neural Networks , vol. 19, no. 11, pp. 1985--1989, 2008.
| Datei: | DigitRecognition.html | 
| Bibtex: | @article{LaBaMa08c,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {IEEE Transactions on Neural Networks},
title = {Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding},
year = {2008},
volume = {19},
number = {11},
pages = {1985--1989},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08c.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/DigitRecognition.html}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Fabian
                    Timm, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Simple Incremental One-Class {S}upport {V}ector Classification, in Pattern Recognition - Proceedings of the DAGM , Gerhard Rigoll, Eds. 2008. pp. 21--30.
Simple Incremental One-Class {S}upport {V}ector Classification, in Pattern Recognition - Proceedings of the DAGM , Gerhard Rigoll, Eds. 2008. pp. 21--30.
| Datei: | |
| Bibtex: | @inproceedings{LaTiMa08,
author = {Kai Labusch and Fabian Timm and Thomas Martinetz},
title = {Simple Incremental One-Class {S}upport {V}ector Classification},
booktitle = {Pattern Recognition - Proceedings of the DAGM},
editor = {Gerhard Rigoll},
series = {Lecture Notes in Computer Science},
pages = {21--30},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaTiMa08.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Torsten
                    Röhl,
                
        
    
        
        
        
            
            
                    Arne
                    Traulsen,
                
        
    
        
        
        
            
            
                    Jens Christian
                    Claussen, and
                
        
    
        
        
        
            
            
                    Heinz Georg
                    Schuster,
                
        
    
Stochastic gain in finite populations, Physical Review E , vol. 78, pp. 026108, 2008.
Stochastic gain in finite populations, Physical Review E , vol. 78, pp. 026108, 2008.
| Datei: | PhysRevE.78.026108 | 
| Bibtex: | @article{RoTrClSc08,
author = {Torsten R{\"o}hl and Arne Traulsen and Jens Christian Claussen and Heinz Georg Schuster},
title = {Stochastic gain in finite populations},
journal = {Physical Review E},
pages = {026108},
volume = {78},
year = {2008},
abstract = {Flexible learning rates can lead to increased payoffs under the influence of noise. In a previous paper [Traulsen et al., Phys. Rev. Lett. 93, 028701 (2004)], we have demonstrated this effect based on a replicator dynamics model which is subject to external noise. Here, we utilize recent advances on finite population dynamics and their connection to the replicator equation to extend our findings and demonstrate the stochastic gain effect in finite population systems. Finite population dynamics is inherently stochastic, depending on the population size and the intensity of selection, which measures the balance between the deterministic and the stochastic parts of the dynamics. This internal noise can be exploited by a population using an appropriate microscopic update process, even if learning rates are constant.},
url = {http://dx.doi.org/10.1103/PhysRevE.78.026108}
}
 | 
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Time evolution of the rule 150 cellular automaton activity from a Fibonacci iteration, Journal of Mathematical Physics , vol. 49, pp. 062701, 2008.
Time evolution of the rule 150 cellular automaton activity from a Fibonacci iteration, Journal of Mathematical Physics , vol. 49, pp. 062701, 2008.
| Datei: | 1.2939398 | 
| Bibtex: | @article{Cl08b,
author = {Jens Christian Claussen},
title = {Time evolution of the rule 150 cellular automaton activity from a Fibonacci iteration},
journal = {Journal of Mathematical Physics},
volume = {49},
pages = {062701},
year = {2008},
url = {http://dx.doi.org/10.1063/1.2939398},
abstract = {The rule 150 cellular automaton is a remarkable discrete dynamical system, as it shows 1/f alpha spectra if started from a single seed [J. Nagler and J. C. Claussen, Phys. Rev. E 71, 067103 (2005)]. Despite its simplicity, a feasible solution for its time behavior is not obvious. Its self-similarity does not follow a one-step iteration like other elementary cellular automata. Here it is shown how its time behavior can be solved as a two-step vectorial, or string, iteration, which can be viewed as a generalization of Fibonacci iteration generating the time series from a sequence of vectors of increasing length. This allows us to compute the total activity time series more efficiently than by simulating the whole spatiotemporal process or even by using the closed expression. The results are further extended to the generalization of rule 150 to the two-dimensional case and to Bethe lattices and the relation to corresponding integer sequences is discussed.}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Fabian
                    Timm,
                
        
    
        
        
        
            
            
                    Sascha
                    Klement, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Fast {M}odel {S}election for {M}ax{M}in{O}ver-based {T}raining of {S}upport {V}ector {M}achines, in Proceedings of the 19th Int. Conference on Pattern Recognition {(ICPR)} , Tampa, Florida, USA: IEEE Computer Society Press, 2008.
Fast {M}odel {S}election for {M}ax{M}in{O}ver-based {T}raining of {S}upport {V}ector {M}achines, in Proceedings of the 19th Int. Conference on Pattern Recognition {(ICPR)} , Tampa, Florida, USA: IEEE Computer Society Press, 2008.
| Datei: | |
| Bibtex: | @inproceedings{TiKlMa08,
author = {Fabian Timm and Sascha Klement and Thomas Martinetz},
title = {Fast {M}odel {S}election for {M}ax{M}in{O}ver-based {T}raining of {S}upport {V}ector {M}achines},
booktitle = {Proceedings of the 19th Int. Conference on Pattern Recognition {(ICPR)}},
publisher = {IEEE Computer Society Press},
year = {2008},
address = {Tampa, Florida, USA},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/TiKlMa08.pdf}
}
 | 
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Floquet stability analysis of {O}tt-{G}rebogi-{Y}orke and difference control, New Journal of Physics , vol. 10, pp. 063006, 2008.
Floquet stability analysis of {O}tt-{G}rebogi-{Y}orke and difference control, New Journal of Physics , vol. 10, pp. 063006, 2008.
| Datei: | 063006 | 
| Bibtex: | @article{Cl08a,
author = {Jens Christian Claussen},
title = {Floquet stability analysis of {O}tt-{G}rebogi-{Y}orke and difference control},
journal = {New Journal of Physics},
volume = {10},
pages = {063006},
year = {2008},
url = {http://dx.doi.org/10.1088/1367-2630/10/6/063006},
abstract = {Stabilization of instable periodic orbits of nonlinear dynamical systems has been a widely explored field theoretically and in applications. The techniques can be grouped into time-continuous control schemes based on Pyragas, and the two Poincaré-based chaos control schemes, Ott–Gebogi–Yorke (OGY) and difference control. Here, a new stability analysis of these two Poincaré-based chaos control schemes is given by means of the Floquet theory. This approach allows to calculate exactly the stability restrictions occurring for small measurement delays and for an impulse length shorter than the length of the orbit. This is of practical experimental relevance; to avoid a selection of the relative impulse length by trial and error, it is advised to investigate whether the used control scheme itself shows systematic limitations on the choice of the impulse length. To investigate this point, a Floquet analysis is performed. For OGY control the influence of the impulse length is marginal. As an unexpected result, difference control fails when the impulse length is taken longer than a maximal value that is approximately one half of the orbit length for small Ljapunov numbers and decreases with the Ljapunov number.}
}
 | 
        
    
    
    
        
        
        
            
            
                    Daniel F.
                    Schwarz,
                
        
    
        
        
        
            
            
                    Oliver
                    Hädicke,
                
        
    
        
        
        
            
            
                    Jeanette
                    Erdmann,
                
        
    
        
        
        
            
            
                    Andreas
                    Ziegler,
                
        
    
        
        
        
            
            
                    Daniel
                    Bayer, and
                
        
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
SNPtoGO: characterizing SNPs by enriched GO terms, Bioinformatics , vol. 24, no. 1, pp. 146--148, 2008.
SNPtoGO: characterizing SNPs by enriched GO terms, Bioinformatics , vol. 24, no. 1, pp. 146--148, 2008.
| Datei: | btm551v1 | 
| Bibtex: | @article{ScHaErZiBaMo08,
author = {Daniel F. Schwarz and Oliver H{\"a}dicke and Jeanette Erdmann and Andreas Ziegler and Daniel Bayer and Steffen M{\"o}ller},
title = {{SNPtoGO}: characterizing {SNPs} by enriched {GO} terms},
journal = {Bioinformatics},
year = {2008},
volume = {24},
number = {1},
pages = {146--148},
url = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btm551v1}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Eleonora
                    Vig,
                
        
    
        
        
        
            
            
                    Karl R.
                    Gegenfurtner,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Eye movement modelling and gaze guidance, in Fourth International Workshop on Human-Computer Conversation , 2008.
Eye movement modelling and gaze guidance, in Fourth International Workshop on Human-Computer Conversation , 2008.
| Datei: | |
| Bibtex: | @inproceedings{DoViGeMaBa08,
author = {Michael Dorr and Eleonora Vig and Karl R. Gegenfurtner and Thomas Martinetz and Erhardt Barth},
title = {Eye movement modelling and gaze guidance},
booktitle = {Fourth International Workshop on Human-Computer Conversation},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoViGeMaBa08.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Daniel
                    Schneegaß,
                
        
    
        
        
        
            
            
                    Steffen
                    Udluft, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{U}ncertainty {P}ropagation for {Q}uality {A}ssurance in {R}einforcement {L}earning, in Proc. of the {I}nternational {J}oint {C}onference on {N}eural {N}etworks , 2008. pp. 2588--2595.
{U}ncertainty {P}ropagation for {Q}uality {A}ssurance in {R}einforcement {L}earning, in Proc. of the {I}nternational {J}oint {C}onference on {N}eural {N}etworks , 2008. pp. 2588--2595.
| Datei: | |
| Bibtex: | @inproceedings{ScUdMa08,
author = {Daniel Schneega{\ss} and Steffen Udluft and Thomas Martinetz},
title = {{U}ncertainty {P}ropagation for {Q}uality {A}ssurance in {R}einforcement {L}earning},
booktitle = {Proc. of the {I}nternational {J}oint {C}onference on {N}eural {N}etworks},
pages = {2588--2595},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScUdMa08.pdf}
}
 | 
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size, Banach Center Publications , vol. 80, pp. 17--31, 2008.
Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size, Banach Center Publications , vol. 80, pp. 17--31, 2008.
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Mathis
                    Graw,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
{A} {S}oftware {F}ramework for {S}imulating {E}ye {T}rackers, in Proceedings of Eye Tracking Research \& Applications (ETRA) , 2008. pp. 251--258.
{A} {S}oftware {F}ramework for {S}imulating {E}ye {T}rackers, in Proceedings of Eye Tracking Research \& Applications (ETRA) , 2008. pp. 251--258.
| Datei: | |
| Bibtex: | @inproceedings{BoDoGrMaBa08,
comment = {This is the entry that should appear on websites and that includes a copyright notice. For a citation in a paper, use item BoDoGrMaBa08 instead.},
author = {Martin B{\"o}hme and Michael Dorr and Mathis Graw and Thomas Martinetz and Erhardt Barth},
title = {{A} {S}oftware {F}ramework for {S}imulating {E}ye {T}rackers},
booktitle = {Proceedings of Eye Tracking Research \& Applications (ETRA)},
year = 2008,
pages = {251--258},
note = {\copyright\ ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye Tracking Research \& Applications 2008, Savannah, Georgia, 26-28 March 2008. http://doi.acm.org/10.1145/1344471.1344529},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BoDoGrMaBa08.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Sascha
                    Klement,
                
        
    
        
        
        
            
            
                    Amir
                    Madany Mamlouk, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{R}eliability of {C}ross-{V}alidation for {SVM}s in {H}igh-{D}imensional, {L}ow {S}ample {S}ize {S}cenarios, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 41--50.
{R}eliability of {C}ross-{V}alidation for {SVM}s in {H}igh-{D}imensional, {L}ow {S}ample {S}ize {S}cenarios, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 41--50.
| Datei: | |
| Bibtex: | @inproceedings{KlMaMa08,
author = {Klement, Sascha and Madany Mamlouk, Amir and Martinetz, Thomas},
title = {{R}eliability of {C}ross-{V}alidation for {SVM}s in {H}igh-{D}imensional, {L}ow {S}ample {S}ize {S}cenarios},
pages = {41--50},
editor = {Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k},
booktitle = {Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {5163},
year = {2008},
note = {http://www.springerlink.com/content/a852001534335865/},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KlMaMa08.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 788--797.
{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 788--797.
| Datei: | SparseCodingNeuralGas.html | 
| Bibtex: | @inproceedings{LaBaMa08b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources},
pages = {788--797},
editor = {Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k},
booktitle = {Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {5163},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08b.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Andreas
                    Kolb,
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth, and
                
        
    
        
        
        
            
            
                    Reinhard
                    Koch,
                
        
    
{T}o{F} {S}ensors: {N}ew {D}imensions for {R}ealism and {I}nteractivity, in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV) , 2008.
{T}o{F} {S}ensors: {N}ew {D}imensions for {R}ealism and {I}nteractivity, in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV) , 2008.
| Datei: | |
| Bibtex: | @inproceedings{KoBaKo08,
author = {Andreas Kolb and Erhardt Barth and Reinhard Koch},
title = {{T}o{F} {S}ensors: {N}ew {D}imensions for {R}ealism and {I}nteractivity},
booktitle = {CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV)},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KoBaKo08.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
{S}cale-{I}nvariant {R}ange {F}eatures for {T}ime-of-{F}light {C}amera {A}pplications, in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV) , 2008. pp. 1--6.
{S}cale-{I}nvariant {R}ange {F}eatures for {T}ime-of-{F}light {C}amera {A}pplications, in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV) , 2008. pp. 1--6.
| Datei: | |
| Bibtex: | @inproceedings{HaBoMaBa08,
author = {Martin Haker and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
title = {{S}cale-{I}nvariant {R}ange {F}eatures for {T}ime-of-{F}light {C}amera {A}pplications},
booktitle = {CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV)},
pages = {1--6},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HaBoMaBa08.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Martin
                    Haker,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A facial feature tracker for human-computer interaction based on 3{D} {Time-of-Flight} cameras, Int. J. on Intell. Systems Techn. and App., Issue on Dynamic 3D Imaging , vol. 5, no. 3, pp. 264--273, 2008.
A facial feature tracker for human-computer interaction based on 3{D} {Time-of-Flight} cameras, Int. J. on Intell. Systems Techn. and App., Issue on Dynamic 3D Imaging , vol. 5, no. 3, pp. 264--273, 2008.
| Datei: | |
| Bibtex: | @article{BoHaMaBa08a,
author = {Martin B{\"o}hme and Martin Haker and Thomas Martinetz and Erhardt Barth},
title = {A facial feature tracker for human-computer interaction based on 3{D} {Time-of-Flight} cameras},
journal = {Int. J. on Intell. Systems Techn. and App., Issue on Dynamic 3D Imaging},
volume = {5},
number = {3},
pages = {264--273},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BoHaMaBa08a.pdf}
}
 | 
        
    
    
    
        
        
            
                Jens Christian
                Claussen, and
            
            
        
        
    
        
        
            
            
                Arne
                Traulsen,
            
        
        
    
Cyclic dominance and biodiversity in well-mixed populations, Physical Review Letters , vol. 100, pp. 058104, 2008.
Cyclic dominance and biodiversity in well-mixed populations, Physical Review Letters , vol. 100, pp. 058104, 2008.
| Datei: | PhysRevLett.100.058104 | 
| Bibtex: | @article{ClTr08,
author = {Jens Christian Claussen and Arne Traulsen},
title = {Cyclic dominance and biodiversity in well-mixed populations},
journal = {Physical Review Letters},
volume = {100},
pages = {058104},
year = {2008},
abstract = {Coevolutionary dynamics is investigated in chemical catalysis, biological evolution, social and economic systems. The dynamics of these systems can be analyzed within the unifying framework of evolutionary game theory. In this Letter, we show that even in well-mixed finite populations, where the dynamics is inherently stochastic, biodiversity is possible with three cyclic-dominant strategies. We show how the interplay of evolutionary dynamics, discreteness of the population, and the nature of the interactions influences the coexistence of strategies. We calculate a critical population size above which coexistence is likely.},
url = {http://dx.doi.org/10.1103/PhysRevLett.100.058104}
}
 | 
        
    
    
    
        
        
            
                Kandaswamy Krishna
                Kumar, and
            
            
        
        
    
        
        
            
            
                Prakash Shrikrishna
                Shelokar,
            
        
        
    
An {SVM} method using evolutionary information for the identification of allergenic proteins, Bioinformation , vol. 2, pp. 253--256, 2008.
An {SVM} method using evolutionary information for the identification of allergenic proteins, Bioinformation , vol. 2, pp. 253--256, 2008.
        
    
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Cyclic coevolutionary dynamics in finite populations: From discrete stochastic processes to replicator and Fokker-Planck equations, in Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig , 2008.
Cyclic coevolutionary dynamics in finite populations: From discrete stochastic processes to replicator and Fokker-Planck equations, in Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig , 2008.
| Datei: | index.php | 
| Bibtex: | @inproceedings{Cl08d,
author = {Jens Christian Claussen},
title = {Cyclic coevolutionary dynamics in finite populations: From discrete stochastic processes to replicator and Fokker-Planck equations},
booktitle = {Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig},
year = {2008},
url = {http://gwal.izbi.uni-leipzig.de/index.php?page=70}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
A Temporal Multiresolution Pyramid for Gaze-Contingent Manipulation of Natural Video, in Passive Eye Monitoring , Riad I. Hammoud, Eds. Springer, 2008, pp. 225--243.
A Temporal Multiresolution Pyramid for Gaze-Contingent Manipulation of Natural Video, in Passive Eye Monitoring , Riad I. Hammoud, Eds. Springer, 2008, pp. 225--243.
2007
        
    
    
    
        
        
        
            
            
                    Nilesh J
                    Samani,
                
        
    
        
        
        
            
            
                    Jeanette
                    Erdmann,
                
        
    
        
        
        
            
            
                    Alistair S
                    Hall,
                
        
    
        
        
        
            
            
                    Christian
                    Hengstenberg,
                
        
    
        
        
        
            
            
                    Massimo
                    Mangino,
                
        
    
        
        
        
            
            
                    Bjoern
                    Mayer,
                
        
    
        
        
        
            
            
                    Richard J
                    Dixon,
                
        
    
        
        
        
            
            
                    Thomas
                    Meitinger,
                
        
    
        
        
        
            
            
                    Peter
                    Braund,
                
        
    
        
        
        
            
            
                    {H-Erich}
                    Wichmann,
                
        
    
        
        
        
            
            
                    Jennifer H
                    Barrett,
                
        
    
        
        
        
            
            
                    Inke R
                    Koenig,
                
        
    
        
        
        
            
            
                    Suzanne E
                    Stevens,
                
        
    
        
        
        
            
            
                    Silke
                    Szymczak,
                
        
    
        
        
        
            
            
                    {David-Alexandre}
                    Tregouet,
                
        
    
        
        
        
            
            
                    Mark M
                    Iles,
                
        
    
        
        
        
            
            
                    Friedrich
                    Pahlke,
                
        
    
        
        
        
            
            
                    Helen
                    Pollard,
                
        
    
        
        
        
            
            
                    Wolfgang
                    Lieb,
                
        
    
        
        
        
            
            
                    Francois
                    Cambien,
                
        
    
        
        
        
            
            
                    Marcus
                    Fischer,
                
        
    
        
        
        
            
            
                    Willem
                    Ouwehand,
                
        
    
        
        
        
            
            
                    Stefan
                    Blankenberg,
                
        
    
        
        
        
            
            
                    Anthony J
                    Balmforth,
                
        
    
        
        
        
            
            
                    Andrea
                    Baessler,
                
        
    
        
        
        
            
            
                    Stephen G
                    Ball,
                
        
    
        
        
        
            
            
                    Tim M
                    Strom,
                
        
    
        
        
        
            
            
                    Ingrid
                    Brænne,
                
        
    
        
        
        
            
            
                    Christian
                    Gieger,
                
        
    
        
        
        
            
            
                    Panos
                    Deloukas,
                
        
    
        
        
        
            
            
                    Martin D
                    Tobin,
                
        
    
        
        
        
            
            
                    Andreas
                    Ziegler,
                
        
    
        
        
        
            
            
                    John R
                    Thompson, and
                
        
    
        
        
        
            
            
                    Heribert
                    Schunkert,
                
        
    
Genomewide association analysis of coronary artery disease, The New England Journal of Medicine , vol. 357, no. 5, pp. 443--453, 08 2007.
Genomewide association analysis of coronary artery disease, The New England Journal of Medicine , vol. 357, no. 5, pp. 443--453, 08 2007.
| DOI: | 10.1056/NEJMoa072366 | 
| Datei: | 17634449 | 
| Bibtex: | @article{SaErHaHe07,
author = {Nilesh J Samani and Jeanette Erdmann and Alistair S Hall and Christian Hengstenberg and Massimo Mangino and Bjoern Mayer and Richard J Dixon and Thomas Meitinger and Peter Braund and {H-Erich} Wichmann and Jennifer H Barrett and Inke R Koenig and Suzanne E Stevens and Silke Szymczak and {David-Alexandre} Tregouet and Mark M Iles and Friedrich Pahlke and Helen Pollard and Wolfgang Lieb and Francois Cambien and Marcus Fischer and Willem Ouwehand and Stefan Blankenberg and Anthony J Balmforth and Andrea Baessler and Stephen G Ball and Tim M Strom and Ingrid Br{\ae}nne and Christian Gieger and Panos Deloukas and Martin D Tobin and Andreas Ziegler and John R Thompson and Heribert Schunkert},
title = {Genomewide association analysis of coronary artery disease},
volume = {357},
issn = {1533--4406},
number = {5},
journal = {The New England Journal of Medicine},
month = {08},
year = {2007},
pages = {443--453},
note = {{PMID:} 17634449},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17634449},
doi = {10.1056/NEJMoa072366}
}
 | 
        
    
    
    
        
        
        
            
            
                    Piyushkumar
                    Mundra,
                
        
    
        
        
        
            
            
                    Madhan
                    Kumar,
                
        
    
        
        
        
            
            
                    K. Krishna
                    Kumar,
                
        
    
        
        
        
            
            
                    Valadi K.
                    Jayaraman, and
                
        
    
        
        
        
            
            
                    Bhaskar D.
                    Kulkarni,
                
        
    
Using {P}seudo {A}mino {A}cid {C}omposition to {P}redict {P}rotein {S}ub nuclear {L}ocalization: {A}pproached with {PSSM}, Pattern Recognition Letters , vol. 28, no. 4, pp. 1610--1615, 2007.
Using {P}seudo {A}mino {A}cid {C}omposition to {P}redict {P}rotein {S}ub nuclear {L}ocalization: {A}pproached with {PSSM}, Pattern Recognition Letters , vol. 28, no. 4, pp. 1610--1615, 2007.
        
    
    
    
    
        
        
            
                Jens Christian
                Claussen, and
            
            
        
        
    
        
        
            
            
                Jürgen
                Carstensen,
            
        
        
    
Underetching from simple reaction kinetics, in Proceedings of the 3-rd International Conference Physics and Control (PhysCon 2007), Potsdam , 2007.
Underetching from simple reaction kinetics, in Proceedings of the 3-rd International Conference Physics and Control (PhysCon 2007), Potsdam , 2007.
        
    
    
    
    
        
        
        
            
            
                    Daniel
                    Schneegaß,
                
        
    
        
        
        
            
            
                    Anton Maximilian
                    Schaefer, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
The Intrinsic Recurrent Support Vector Machine, in Proc. of the {E}uropean {S}ymposium on {A}rtificial {N}eural {N}etworks , Michel Verleysen, Eds. 2007. pp. 325--330.
The Intrinsic Recurrent Support Vector Machine, in Proc. of the {E}uropean {S}ymposium on {A}rtificial {N}eural {N}etworks , Michel Verleysen, Eds. 2007. pp. 325--330.
| Datei: | |
| Bibtex: | @inproceedings{ScScMa07,
author = {Daniel Schneega{\ss} and Anton Maximilian Schaefer and Thomas Martinetz},
title = {{T}he {I}ntrinsic {R}ecurrent {S}upport {V}ector {M}achine},
booktitle = {Proc. of the {E}uropean {S}ymposium on {A}rtificial {N}eural {N}etworks},
editor = {Michel Verleysen},
pages = {325--330},
year = {2007},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScScMa07.pdf}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
        
        
        
            
            
                    Daniel
                    Bayer,
                
        
    
        
        
        
            
            
                    David
                    Vernazobres,
                
        
    
        
        
        
            
            
                    Albrecht
                    Gebhardt, and
                
        
    
        
        
        
            
            
                    Dirk
                    Eddelbuettel,
                
        
    
Scientific Grid Computing via Community-Controlled Autobuilding of Software Packages Across Architectures, in NETTAB , Pisa, Italy , 2007.
Scientific Grid Computing via Community-Controlled Autobuilding of Software Packages Across Architectures, in NETTAB , Pisa, Italy , 2007.
        
    
    
    
        
        
            
                Rajeev
                Gangal, and
            
            
        
        
    
        
        
            
            
                K. Krishna
                Kumar,
            
        
        
    
Reduced {A}lphabet {M}otif {M}ethodology for {GPCR} annotation, Journal of Biomolecular Structure and Dynamics , vol. 25, pp. 299--310, 2007.
Reduced {A}lphabet {M}otif {M}ethodology for {GPCR} annotation, Journal of Biomolecular Structure and Dynamics , vol. 25, pp. 299--310, 2007.
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Poincare-based control of delayed measured systems: Limitations and Improved Control, in Handbook of Chaos Control , VCH Wiley, 2007, pp. 109--128.
Poincare-based control of delayed measured systems: Limitations and Improved Control, in Handbook of Chaos Control , VCH Wiley, 2007, pp. 109--128.
| Datei: | 0712.4221 | 
| Bibtex: | @inbook{Cl07cc,
author = {Jens Christian Claussen},
title = {Poincare-based control of delayed measured systems: Limitations and Improved Control},
note = {(eds. Heinz Georg Schuster and Eckehard Sch{\"o}ll)},
booktitle = {Handbook of Chaos Control},
pages = {109--128},
publisher = {VCH Wiley},
year = {2007},
url = {http://arxiv.org/abs/0712.4221}
}
 | 
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Offdiagonal complexity: A computationally quick complexity measure for graphs and networks, Physica A , vol. 375, pp. 365--373, 2007.
Offdiagonal complexity: A computationally quick complexity measure for graphs and networks, Physica A , vol. 375, pp. 365--373, 2007.
| Datei: | j.physa.2006.08.067 | 
| Bibtex: | @article{Cl07a,
author = {Jens Christian Claussen},
title = {Offdiagonal complexity: A computationally quick complexity measure for graphs and networks},
journal = {Physica A},
volume = {375},
pages = {365--373},
year = {2007},
url = {http://dx.doi.org/doi:10.1016/j.physa.2006.08.067},
abstract = {A vast variety of biological, social, and economical networks shows topologies drastically differing from random graphs; yet the quantitative characterization remains unsatisfactory from a conceptual point of view. Motivated from the discussion of small scale-free networks, a biased link distribution entropy is defined, which takes an extremum for a power-law distribution. This approach is extended to the node–node link cross-distribution, whose nondiagonal elements characterize the graph structure beyond link distribution, cluster coefficient and average path length. From here a simple (and computationally cheap) complexity measure can be defined. This offdiagonal complexity (OdC) is proposed as a novel measure to characterize the complexity of an undirected graph, or network. While both for regular lattices and fully connected networks OdC is zero, it takes a moderately low value for a random graph and shows high values for apparently complex structures as scale-free networks and hierarchical trees. The OdC approach is applied to the Helicobacter pylori protein interaction network and randomly rewired surrogates.}
}
 | 
        
    
    
    
    
        
        
        
            
            
                    Kai
                    Labusch,
                
        
    
        
        
        
            
            
                    Udo
                    Siewert,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Learning optimal features for visual pattern recognition, in Human Vision and Electronic Imaging XII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly, Eds. Proceedings of SPIE, 2007.
Learning optimal features for visual pattern recognition, in Human Vision and Electronic Imaging XII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly, Eds. Proceedings of SPIE, 2007.
| Datei: | |
| Bibtex: | @inproceedings{LaSiMaBa07,
author = {Kai Labusch and Udo Siewert and Thomas Martinetz and Erhardt Barth},
title = {Learning optimal features for visual pattern recognition},
booktitle = {Human Vision and Electronic Imaging XII},
publisher = {Proceedings of SPIE},
year = {2007},
volume = {6492},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaSiMaBa07.pdf}
}
 | 
        
    
    
    
        
            Jens Christian Claussen,
        
        
        
    
Offdiagonal complexity: A computationally quick network complexity measure -- Application to protein networks and cell division., in Mathematical Modeling of Biological Systems, Volume II. , Birkhäuser, Boston, 2007, pp. 279--287.
Offdiagonal complexity: A computationally quick network complexity measure -- Application to protein networks and cell division., in Mathematical Modeling of Biological Systems, Volume II. , Birkhäuser, Boston, 2007, pp. 279--287.
        
    
    
    
    
        
        
        
            
            
                    Daniel
                    Schneegaß,
                
        
    
        
        
        
            
            
                    Steffen
                    Udluft, and
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz,
                
        
    
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification, in Proc. of the {I}nternational {C}onference on {A}rtificial {N}eural {N}etworks , 2007. pp. 109--118.
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification, in Proc. of the {I}nternational {C}onference on {A}rtificial {N}eural {N}etworks , 2007. pp. 109--118.
| Datei: | |
| Bibtex: | @inproceedings{ScUdMa07b,
author = {Daniel Schneega{\ss} and Steffen Udluft and Thomas Martinetz},
title = {{I}mproving {O}ptimality of {N}eural {R}ewards {R}egression for {D}ata-{E}fficient {B}atch {N}ear-{O}ptimal {P}olicy {I}dentification},
booktitle = {Proc. of the {I}nternational {C}onference on {A}rtificial {N}eural {N}etworks},
pages = {109--118},
year = {2007},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScUdMa07b.pdf}
}
 | 
        
    
    
    
        
        
        
            
            
                    Emanuela
                    Merelli,
                
        
    
        
        
        
            
            
                    Giuliano
                    Armano,
                
        
    
        
        
        
            
            
                    Nicola
                    Cannata,
                
        
    
        
        
        
            
            
                    Flavio
                    Corradini,
                
        
    
        
        
        
            
            
                    Mark
                    d'Inverno,
                
        
    
        
        
        
            
            
                    Andreas
                    Doms,
                
        
    
        
        
        
            
            
                    Phillip
                    Lord,
                
        
    
        
        
        
            
            
                    Andrew
                    Martin,
                
        
    
        
        
        
            
            
                    Luciano
                    Milanesi,
                
        
    
        
        
        
            
            
                    Steffen
                    Möller,
                
        
    
        
        
        
            
            
                    Michael
                    Schroeder, and
                
        
    
        
        
        
            
            
                    Michael
                    Luck,
                
        
    
Agents in bioinformatics, computational and systems biology., Briefings in Bioinformatics , vol. 8, no. 1, pp. 45--59, 2007.
Agents in bioinformatics, computational and systems biology., Briefings in Bioinformatics , vol. 8, no. 1, pp. 45--59, 2007.
        
    
    
    
    
        
        
        
            
            
                    Michael
                    Dorr,
                
        
    
        
        
        
            
            
                    Martin
                    Böhme,
                
        
    
        
        
        
            
            
                    Thomas
                    Martinetz, and
                
        
    
        
        
        
            
            
                    Erhardt
                    Barth,
                
        
    
Gaze beats mouse: a case study, in The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK , 2007. pp. 16--19.
Gaze beats mouse: a case study, in The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK , 2007. pp. 16--19.
| Datei: | |
| Bibtex: | @inproceedings{DoBoMaBa07,
author = {Michael Dorr and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
title = {Gaze beats mouse: a case study},
booktitle = {The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK},
year = {2007},
pages = {16--19},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoBoMaBa07.pdf}
}
 | 
    