2022

• Thiemann, Christian and Klitzke, Britta and Martinetz, Philipp and Grüning, Philipp and Käster, Thomas and Barth, Erhardt and Kramer, Jan and Martinetz, Thomas: Automated assessment of immunofixations with deep neural networks. Journal of Laboratory Medicine, no. 46, pp. 331-336, De Gruyter, 2022
  

  @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}
  }
  
  

• Koo-Poeggel, Ping and Neuwerk, Soé and Petersen, Eike and Grasshoff, Jan and Mölle, Matthias and Martinetz, Thomas and Marshall, Lisa: Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding. Journal of Sleep Research, no. 31, pp. e13734, 2022
  

  @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/PUBPDFS/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}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: FP-nets as novel deep networks inspired by vision. Journal of Vision, no. 22, pp. 8-8, The Association for Research in Vision and Ophthalmology, 2022
  

  @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/PUBPDFS/GrMaBa22.pdf}
  }
  
  

2021

• Christoph Linse and Hammam Alshazly and Thomas Martinetz: A walk in the black-box: 3D visualization of large neural networks in virtual reality. Neural Computing and Applications, aug, 2022
  

  @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},
  }
  
  

• Mairhöfer, Dominik and Laufer, Manuel and Simon, Paul Martin and Sieren, Malte and Bischof, Arpad and Käster, Thomas and Barth, Erhardt and Barkhausen, Jörg and Martinetz, Thomas: An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs. in Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, no. 143, pp. 484-496, PMLR, 07-09 Jul, 2021
  

  @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/PUBPDFS/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.}
  }
  
  

• 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: A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells. Bioengineered, no. 12, issue 1, pp. 2603-2615, 2021
  

  @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/PUBPDFS/MuHaAnetal21.pdf}
  }
  
  

• Hammam Alshazly and Christoph Linse and Mohamed Abdalla and Erhardt Barth and Thomas Martinetz: COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans. PeerJ Computer Science, no. 7, pp. e655, 2021
  

  @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}
  }
  
  

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. Sensors, no. 21, pp. 455, Multidisciplinary Digital Publishing Institute, 2021
  

  @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/PUBPDFS/AlLiBaMa21.pdf}
  }
  
  

• Shambhavi Mishra and Tanveer Ahmed and Vipul Mishra and Manjit Kaur and Thomas Martinetz and Amit Kumar Jain and Hammam Alshazly: Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering. in Computational Intelligence and Neuroscience, no. 2021, 2021
  

  @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 and Christoph Linse and Erhardt Barth and Sahar Ahmed Idris and Thomas Martinetz: Towards Explainable Ear Recognition Systems Using Deep Residual Networks. IEEE Access, pp. 1-1, 2021
  

  @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

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access, no. 8, pp. 170295-170310, IEEE, 2020
  

  @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/PUBPDFS/AlLiBaMa20.pdf}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: Feature Products Yield Efficient Networks. arXiv preprint arXiv:2008.07930, 2020
  

  @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/PUBPDFS/GrMaBa20.pdf}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks. in Artificial Neural Networks and Machine Learning - ICANN 2020, pp. 79-91, Springer International Publishing, Cham, 2020
  

  @inproceedings{GrMaBa20a,
  author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
  editor={Farka{\v{s}}, Igor and Masulli, Paolo and Wermter, Stefan},
  title={Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks},
  booktitle={Artificial Neural Networks and Machine Learning -- ICANN 2020},
  year={2020},
  publisher={Springer International Publishing},
  address={Cham},
  pages={79--91},
  abstract={We introduce Logarithm-Networks (Log-Nets), a novel bio-inspired type of network architecture based on logarithms of feature maps followed by convolutions. Log-Nets are capable of surpassing the performance of traditional convolutional neural networks (CNNs) while using fewer parameters. Performance is evaluated on the Cifar-10 and ImageNet benchmarks.},
  isbn={978-3-030-61616-8}
  }
  
  

• 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, pp. 1-6, 2020
  

  @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}
  }
  
  

• Yina Wei and Giri P. Krishnan and Lisa Marshall and Thomas Martinetz and Maxim Bazhenov: Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep. The Journal of Neuroscience, no. 40, pp. 811-824, 2020
  

  @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/PUBPDFS/WeKrMaMaBa20.pdf}
  }
  
  

2019

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. sensors, no. 19, pp. 4139, Multidisciplinary Digital Publishing Institute, 2019
  

  @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/PUBPDFS/AlLiBaMa19.pdf}
  }
  
  

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Handcrafted versus CNN Features for Ear Recognition. Symmetry, no. 11, pp. 1493, 2019
  

  @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/PUBPDFS/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
  

  @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/PUBPDFS/JaMa19.pdf}
  }
  
  

2017

• Hans G. Danielmeyer and Thomas Martinetz: Industrial Society`s Natural Future. 2017
  

  @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/PUBPDFS/DaMa17.pdf}
  }
  
  

• Madany Mamlouk, Amir and Haker, Martin and Martinetz, Thomas: Perception Space Analysis: From color vision to odor perception. International Joint Conference on Neural Networks (IJCNN), pp. 689-696, 2017
  

  @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}
  }
  
  

• Boris Knyazew and Erhardt Barth and Thomas Martinetz: Recursive autoconvolution for unsupervised learning of convolutional neural networks. 2017 International Joint Conference on Neural Networks (IJCNN), pp. 2486-2493, 2017
  

  @inproceedings{KnBaMa17,
  author = {Boris Knyazew and Erhardt Barth and Thomas Martinetz},
  title = {Recursive autoconvolution for unsupervised learning of convolutional neural networks}, 
  journal = {2017 International Joint Conference on Neural Networks (IJCNN)},
  pages = {2486--2493},
  year = {2017}
  }
  
  

• Irina Burciu and Thomas Martinetz and Erhardt Barth: Sensing Forest for Pattern Recognition. in Advanced Concepts for Intelligent Vision Systems: 18th International Conference, ACIVS 2017, no. 10617, pp. 126-137, Springer, 2017
  

  @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}
  }
  
  

2016

• Schütze, Henry and Barth, Erhardt and Martinetz, Thomas: Learning Efficient Data Representations with Orthogonal Sparse Coding. IEEE Transactions on Computational Imaging, no. 2, pp. 177-189, 09, 2016
  

  @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/PUBPDFS/ScBaMa16.pdf}
  }
  
  

• Arne Weigenand and Schellenberger Costa, Michael and Ngo, Hong-Viet and Matthias Mölle and Lisa Marshall and 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
  

  @inproceedings{WeScNgMoMaClMa16,
  author = {Arne Weigenand and Schellenberger Costa, Michael and Ngo, Hong-Viet and Matthias M{\"o}lle and Lisa Marshall and Jens Christian Claussen and Thomas Martinetz},
  title = {A thalamocortical neural mass model of evoked potentials during NREM sleep},
  booktitle = {Cosyne Abstracts 2016, Salt Lake City USA},
  year = {2016}
  }
  
  

• Schellenberger Costa, Michael and Arne Weigenand and Ngo, Hong-Viet V. and Lisa Marshall and Jan Born and 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, no. 12, pp. e1005022, 2016
  

  @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/PUBPDFS/ScWeNgMaBoMaCl16.pdf}
  }
  
  

• Boris Knyazew and Erhardt Barth and Thomas Martinetz: Autoconvolution for Unsupervised Feature Learning. arXiv:1606.00611v1 [cs.CV], 2016
  

  @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/PUBPDFS/KnBaMa16.pdf}
  }
  
  

• Maier, Oscar and Schröder, Christoph and Forkert, Nils Daniel and Martinetz, Thomas and Handels, Heinz: Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study. PloS one, no. 11, pp. e0149828, Public Library of Science, 2016
  

  @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/PUBPDFS/MaScFoMaHa16.pdf}
  }
  
  

• Irina Burciu and Thomas Martinetz and Erhardt Barth: Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset. Journal of Imaging Science and Technology, no. 60, pp. 020402-1-020402-10, 2016
  

  @article{BuMaBa16,
  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},
  journal = {Journal of Imaging Science and Technology},
  volume = {60},
  number = {2},
  pages = {020402-1--020402-10},
  year = {2016},
  url = {http://dx.doi.org/10.2352/J.ImagingSci.Technol.2016.60.2.020402},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BuMaBa16.pdf}
  }
  
  

• Irina Burciu and Thomas Martinetz and Erhardt Barth: Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset. in Human Vision and Electronic Imaging, HVEI 2016, pp. 1-10, 2016
  

  @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}
  }
  
  

• Schellenberger Costa, Michael and Jan Born and Jens Christian Claussen and Thomas Martinetz: Modeling the effect of sleep regulation on a neural mass model. Journal of Computational Neuroscience, no. 41, pp. 15-28, 2016
  

  @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/PUBPDFS/ScBoClMa16.pdf}
  }
  
  

• Hans G. Danielmeyer and Thomas Martinetz: The industrial society`s intrinsic dynamics. 2016
  

  @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/PUBPDFS/DaMa16.pdf}
  }
  
  

• Arne Weigenand and Matthias Mölle and Friederike Werner and Thomas Martinetz and Lisa Marshall: Timing matters: open-loop stimulation does not improve overnight consolidation of word pairs in humans. European Journal of Neuroscience, no. 44, pp. 2357-2368, 2016
  

  @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/PUBPDFS/WeMoWeMaMa16.pdf}
  }
  
  

2015

• Maier, Oscar and Schröder, Christoph and Forkert, Nils Daniel and Martinetz, Thomas and Handels, Heinz: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study. PloS one, no. 10, pp. e0145118, Public Library of Science, 2015
  

  @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/PUBPDFS/MaScFoMaHa15.pdf}
  }
  
  

• Lars Hertel and Erhardt Barth and Thomas Käster and Thomas Martinetz: Deep Convolutional Neural Networks as Generic Feature Extractors. in Proc. 2015 IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015
  

  @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/PUBPDFS/HeBaKaMa15.pdf}
  }
  
  

• Ngo, Hong-Viet V. and Miedema, Arjan and Faude, Isabel and Martinetz, Thomas and Mölle, Matthias and Born, Jan: Driving Sleep Slow Oscillations by Auditory Closed-Loop Stimulation - A Self-Limiting Process. The Journal of Neuroscience, no. 35, pp. 6630-6638, 2015
  

  @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/PUBPDFS/NgMiFaMaMoBo15.pdf}
  }
  
  

• C. Krause and K. Ens and K. Fechner and J. Voigt and J. Fraune and E. Rohwäder and M. Hahn and M. Danckwardt and C. Feirer and E. Barth and T. Martinetz and W. Stöcker: EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics. Lupus, no. 24, pp. 516-529, 2015
  

  @article{KrEnFeVoFrRoHaDaFeBaMaSt15,
  author = {C. Krause and K. Ens and K. Fechner and J. Voigt and J. Fraune and E. Rohw{\"a}der and M. Hahn and M. Danckwardt and C. Feirer and E. Barth and T. Martinetz and W. St{\"o}cker},
  title = {{EUROP}attern {S}uite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics},
  journal = {Lupus},
  volume = {24},
  number = {4--5},
  pages = {516--529},
  year = {2015}
  }
  
  

• Irina Burciu and Thomas Martinetz and Erhardt Barth: Foveated Manifold Sensing for object recognition. in IEEE International Black Sea Conference on Communications and Networking, pp. 196-200, 2015
  

  @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}
  }
  
  

• Schütze, Henry and Barth, Erhardt and Martinetz, Thomas: Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization. in IJCNN 2015 Conference Proceedings, pp. 15540:1-8, 2015
  

  @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/PUBPDFS/ScBaMa15.pdf}
  }
  
  

• Jens Hocke and Thomas Martinetz: Learning Transformation Invariance from Global to Local. in Workshop New Challenges in Neural Computation 2015, no. 03, pp. 16-24, 2015
  

  @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/PUBPDFS/HoMa15.pdf}
  }
  
  

• Hocke, Jens and Martinetz, Thomas: Maximum Distance Minimization for Feature Weighting. Pattern Recognition Letters, no. 52, pp. 48-52, 2015
  

  @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/PUBPDFS/HoMa15a.pdf}
  }
  
  

• 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: RNAi revised-target mRNA-dependent enhancement of gene silencing. Nucleic acids research, no. 43, pp. 10623-10632, 2015
  

  @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/PUBPDFS/DoWiKrLiBeFrLaMaScClRe16.pdf},
  url = {http://nar.oxfordjournals.org/content/43/22/10623.full},
  doi = {http://dx.doi.org/10.1093/nar/gkv1200}
  }
  
  

• Foti Coleca and Andreea State and Sascha Klement and Erhardt Barth and Thomas Martinetz: Self-organizing maps for hand and full body tracking. Neurocomputing, no. 147, pp. 174-184, Elsevier, 2015
  

  @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/PUBPDFS/CoStKlBaMa15.pdf}
  }
  
  

2014

• Schütze, Henry and Barth, Erhardt and Martinetz, Thomas: An adaptive hierarchical sensing scheme for sparse signals. in Human Vision and Electronic Imaging XIX, no. 9014, pp. 15:1-8, 2014
  

  @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/PUBPDFS/ScBaMa14.pdf}
  }
  
  

• Arne Weigenand and Schellenberger Costa, Michael and Ngo, Hong-Viet Victor and Jens Christian Claussen and Thomas Martinetz: Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model. PLoS Computational Biology, no. 10, pp. e1003923, 2014
  

  @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/PUBPDFS/WeScNgClMa14.pdf}
  }
  
  

• Bogdan Miclut and Thomas Käster and Thomas Martinetz and Erhard Barth: Committees of deep feedforward networks trained with few data. arXiv:1406.5947v1[cs.CV], 2014
  

  @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/PUBPDFS/MiKaMaBa14.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, no. 8681, pp. 129-135, Springer, 2014
  

  @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/PUBPDFS/HoMa14.pdf}
  }
  
  

• Foti Coleca and Sabrina Zîrnovean and Thomas Käster and 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, pp. 386-393, 2014
  

  @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/PUBPDFS/CoZiKaMaBa14.pdf}
  }
  
  

• Barbara Hammer and 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, pp. 343-352, 2014
  

  @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/PUBPDFS/HaHeMa14.pdf}
  }
  
  

• Jens Hocke and Thomas Martinetz: Learning Transformation Invariance for Object Recognition. in Workshop New Challenges in Neural Computation 2014, no. 02, pp. 20-25, 2014
  

  @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/PUBPDFS/HoMa14b.pdf}
  }
  
  

• Irina Burciu and Adrian Ion-Margineanu and Thomas Martinetz and Erhardt Barth: Visual Manifold Sensing, booktitle Human Vision and Electronic Imaging XIX. no. 9014, pp. 48:1-8, Proceedings of SPIE Electronic Imaging, 2014
  

  @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/PUBPDFS/BuMaMaBa14.pdf}
  }
  
  

2013

• N. Hochstrate and C. Krause and K. Ens and M. Danckwardt and C. Feirer and E. Rohwäder and M. Hahn and K. Affeldt and M. Rateike and M. Morrin and D. Wuttig and K. Fechner and E. Barth and W. Stöcker and T. Martinetz and J. Voigt: ANA and ANCA diagnostics with computer-aided immunofluorescence microscopy (CAIFM). Zeitschrift für Rheumatologie, no. 72, pp. 24, Springer Heidelberg, 2013
  

  @article{HoKrEnDaFeRoHaAfRaMoWuFeBaStMaVo13,
  author = {N. Hochstrate and C. Krause and K. Ens and M. Danckwardt and C. Feirer and E. Rohw{\"a}der and M. Hahn and K. Affeldt and M. Rateike and M. Morrin and D. Wuttig and K. Fechner and E. Barth and W. St{\"o}cker and T. Martinetz and J. Voigt},
  title = {{ANA} and {ANCA} diagnostics with computer-aided immunofluorescence microscopy (CAIFM)},
  publisher = {Springer Heidelberg},
  journal = {Zeitschrift f{\"u}r Rheumatologie},
  volume = {72},
  pages = {24},
  year = {2013}
  }
  
  

• Hocke, Jens and Martinetz, Thomas: Application of Maximum Distance Minimization to Gene Expression Data. in Workshop New Challenges in Neural Computation 2013, no. 02, pp. 6-7, 2013
  

  @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/PUBPDFS/HoMa13a.pdf}
  }
  
  

• Ngo, Hong-Viet V. and Martinetz, Thomas and Born, Jan and Mölle, Matthias: Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory. Neuron, no. 78, pp. 545-553, 2013
  

  @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/PUBPDFS/NgMaBoMo13.pdf}
  }
  
  

• N. Hochstrate and C. Krause and K. Ens and M. Danckwardt and C. Feirer and K. Affeldt and M. Rateike and M. Morrin and D. Wuttig and J. Voigt and K. Fechner and E. Barth and T. Martinetz and W. Stöcker: Computer-aided immunofluorescence microscopy (CAIFM) for ANCA diagnostics. La Presse Medicale, no. 42, pp. 685, Elsevier Masson, 2013
  

  @article{HoKrEnDaFeAfRaMoWuVoFeBaMaSt13,
  author = {N. Hochstrate and C. Krause and K. Ens and M. Danckwardt and C. Feirer and K. Affeldt and M. Rateike and M. Morrin and D. Wuttig and J. Voigt and K. Fechner and E. Barth and T. Martinetz and W. St{\"o}cker},
  title = {Computer-aided immunofluorescence microscopy {(CAIFM)} for {ANCA} diagnostics},
  publisher = {Elsevier Masson},
  journal = {La Presse Medicale},
  volume = {42},
  number = {4},
  pages = {685},
  year = {2013}
  }
  
  

• Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Kai-Uwe Kalies and 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, no. 317, pp. 377-383, 2013
  

  @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/PUBPDFS/KaPuKaHaMa13.pdf}
  }
  
  

• 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, no. 8131, pp. 420-425, Springer, 2013
  

  @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/PUBPDFS/HoMa13.pdf}
  }
  
  

• Foti Coleca and Thomas Martinetz and Erhardt Barth: Gesture Interfaces with Depth Sensors. in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, no. 8200, pp. 207-227, Springer Berlin Heidelberg, 2013
  

  @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/PUBPDFS/CoMaBa13.pdf}
  }
  
  

• Andreea State and Foti Coleca and Erhardt Barth and Thomas Martinetz: Hand Tracking with an Extended Self-Organizing Map. in Advances in Self-Organizing Maps, no. 198, pp. 115-124, Springer Berlin Heidelberg, 2013
  

  @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/PUBPDFS/StCoBaMa13.pdf}
  }
  
  

• Schütze, Henry and Barth, Erhardt and Martinetz, Thomas: Learning Orthogonal Bases for k-Sparse Representations. in Workshop New Challenges in Neural Computation 2013, no. 02, pp. 119-120, 2013
  

  @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/PUBPDFS/ScBaMa13.pdf}
  }
  
  

• Mike Wellner and Thomas Käster and Thomas Martinetz and Erhardt Barth: Optimizing depth-of-field based on a range map and a wavelet transform. in Mobile Computational Photography, no. 8667D, Proceedings of SPIE, 2013
  

  @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/PUBPDFS/WeKaMaBa13.pdf}
  }
  
  

• Foti Coleca and Sascha Klement and Thomas Martinetz and Erhardt Barth: Real-time skeleton tracking for embedded systems. in Mobile Computational Photography, no. 8667D, Proceedings of SPIE, 2013
  

  @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/PUBPDFS/CoKlMaBa13.pdf}
  }
  
  

• Horia Coman and Erhardt Barth and Thomas Martinetz: Sparse Coding Neural Gas Applied to Image Recognition. in Advances in Self-Organizing Maps, no. 198, pp. 105-114, Springer Berlin Heidelberg, 2013
  

  @inproceedings{CoBaMa13,
  author = {Horia Coman and Erhardt Barth and Thomas Martinetz},
  title = {{S}parse {C}oding {N}eural {G}as {A}pplied to {I}mage {R}ecognition},
  publisher = {Springer Berlin Heidelberg},
  booktitle = {Advances in Self-Organizing Maps},
  series = {Advances in Intelligent Systems and Computing},
  volume = {198},
  pages = {105--114},
  year = {2013}
  }
  
  

• Sascha Klement and Silke Anders and Thomas Martinetz: The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data. Neural Computation, no. 25/6, pp. 1548-1584, 2013
  

  @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/PUBPDFS/KlAnMa13.pdf}
  }
  
  

2012

• Henry Schütze and Thomas Martinetz and 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, no. 7553, pp. 540-547, Springer, 2012
  

  @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/PUBPDFS/ScMaAnMa12.pdf}
  }
  
  

• Hans G. Danielmeyer and Thomas Martinetz: A physical theory of economic groth. arXiv:1206.2494v1 [q-fin.GN], 2012
  

  @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/PUBPDFS/DaMa12b.pdf}
  }
  
  

• Jens Hocke and Erhardt Barth and Thomas Martinetz: Application of non-linear transform coding to image processing. in Human Vision and Electronic Imaging XVII, no. 8291, Proceedings of SPIE, 2012
  

  @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/PUBPDFS/HoBaMa12.pdf}
  }
  
  

• Jörn Voigt and Christopher Krause and Edda Rohwäder 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 Stöcker: Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells. Clinical and Developmental Immunology, no. 2012, 2012
  

  @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/PUBPDFS/VoKrRoSaHaDaFeEnFeBaMaSt12.pdf},
  doi = {10.1155/2012/651058},
  url = {https://doi.org/10.1155/2012/651058}
  }
  
  

• Hocke, Jens and Martinetz, Thomas: Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits. in Workshop New Challenges in Neural Computation 2012, no. 03, pp. 113-115, 2012
  

  @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/PUBPDFS/HoMa12.pdf}
  }
  
  

• T. Binder and F. Kriener and C. Wichner and M. Wille and M. Wellner and T. Käster and 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, no. 8291, 2012
  

  @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/PUBPDFS/BiKrWiWiWeKaMaBa12.pdf}
  }
  
  

• Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth: Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 34, pp. 1080-1091, IEEE, 2012
  

  @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/PUBPDFS/ViDoMaBa12.pdf}
  }
  
  

• Hans G. Danielmeyer and Thomas Martinetz: Predicting economic growth with classical physics and human biology. arXiv:1212.1286 [q-fin.GN], 2012
  

  @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/PUBPDFS/DaMa12a.pdf}
  }
  
  

• Hocke, Jens and Labusch, Kai and Barth, Erhardt and Martinetz, Thomas: Sparse Coding and Selected Applications. KI - Künstliche Intelligenz, no. 26, pp. 349-355, Springer Berlin / Heidelberg, 2012
  

  @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/PUBPDFS/HoLaBaMa12.pdf}
  }
  
  

• Weigenand, Arne and Martinetz, Thomas and Claussen, Jens Christian: The phase response of the cortical slow oscillation. Cognitive Neurodynamics, no. 6, pp. 367-375, 2012
  

  @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
  

  @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/PUBPDFS/DaMa12.pdf}
  }
  
  

2011

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction. Neurocomputing, no. 74, pp. 1418-1428, 04, 2011
  

  @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/PUBPDFS/LaBaMa11.pdf}
  }
  
  

• Krishna Kumar Kandaswamy and Kuo-Chen Chou and Thomas Martinetz and Steffen Möller and P. N. Suganthan and S. Sridharan and Ganesan Pugalenthi: AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. Journal of Theoretical Biology, no. 270, pp. 56-62, 2011
  

  @article{KaChMaMoSuSrGa11,
  author = {Krishna Kumar Kandaswamy and Kuo-Chen Chou and Thomas Martinetz and Steffen M{\"o}ller and P. N. Suganthan and S. Sridharan and Ganesan Pugalenthi},
  title = {{AFP}-{P}red: {A} random forest approach for predicting antifreeze proteins from sequence-derived properties},
  journal = {Journal of Theoretical Biology},
  volume = {270},
  number = {1},
  pages = {56--62},
  year = {2011}
  }
  
  

• Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Mehrnaz Khodam Hazrati and Kai-Uwe Kalies and Thomas Martinetz: BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and Relief feature selection. BMC Bioinformatics, 2011
  

  @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/PUBPDFS/KrGaMeKaTh11.pdf}
  }
  
  

• Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth: Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes. Cognitive Computation, no. 3, pp. 79-88, Springer New York, 2011
  

  @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/PUBPDFS/ViDoMaBa11.pdf}
  }
  
  

• Hocke, Jens and Martinetz, Thomas and Barth, Erhardt: Image Deconvolution with Sparse Priors. in Workshop New Challenges in Neural Computation 2011, no. 05, pp. 9, 2011
  

  @inproceedings{HoMaBa11,
  author={Hocke, Jens and Martinetz, Thomas and Barth, Erhardt},
  title = {{I}mage {D}econvolution with {S}parse {P}riors},
  booktitle = {Workshop New Challenges in Neural Computation 2011},
  editor = {Barbara Hammer and Thomas Villmann},
  series={Machine Learning Reports},
  volume = {05},
  year = {2011},
  pages = {9},
  note = {Abstract}
  }
  
  

• Klement, Sascha and Martinetz, Thomas: On the Problem of Finding the Least Number of Features by L1-norm Minimisation. in ICANN 2011, Part I, pp. 315-322, Springer, Heidelberg, 2011
  

  @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/PUBPDFS/KlMa11.pdf}
  }
  
  

• Jiajie Zhang and Amir Madany Mamlouk and Thomas Martinetz and Suhua Chang and Jing Wang and Rolf Hilgenfeld: PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome. BMC Bioinformatics, no. 12, pp. 248, 2011
  

  @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/PUBPDFS/ZhMaMaChWaHi11.pdf}
  }
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent. IEEE Transactions on Selected Topics in Signal Processing, no. 5, pp. 1048-1060, 2011
  

  @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/PUBPDFS/LaBaMa11b.pdf}
  }
  
  

2010

• Eleonora Vig and Michael Dorr and Thomas Martinetz and Erhardt Barth: A Learned Saliency Predictor for Dynamic Natural Scenes. in ICANN 2010, Part III, no. 6354, pp. 52-61, Springer, Thessaloniki, Greece, 2010
  

  @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/PUBPDFS/ViDoMaBa10a.pdf}
  }
  
  

• Klement, Sascha and Martinetz, Thomas: 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, pp. 141-146, IEEE Computer Society, 2010
  

  @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/PUBPDFS/KlMa10a.pdf}
  }
  
  

• Kai Labusch and 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, pp. 327-336, Springer, 2010
  

  @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/PUBPDFS/LaBaMa10b.pdf}
  }
  
  

• Ingrid Braenne and Kai Labusch and Thomas Martinetz and Amir Madany Mamlouk: Interpretive Risk Assessment on GWA Data with Sparse Linear Regression. Machine Learning Reports, pp. 61-68, 2010
  

  @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/PUBPDFS/BrLaMaMa10.pdf}
  }
  
  

• Kai Labusch and Thomas Martinetz: Learning Sparse Codes for Image Reconstruction. in Proceedings of the 18th European Symposium on Artificial Neural Networks, pp. 241-246, D-Side Publishers, 2010
  

  @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/PUBPDFS/LaMa10.pdf}
  }
  
  

• Thomas Binder and Thomas Martinetz: On the boundedness of an iteration involving points on the hypersphere. arXiv:1001.1624v2 [cs.CG], 2010
  

  @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/PUBPDFS/BiMa10.pdf}
  }
  
  

• Fabian Timm and Thomas Martinetz and Erhardt Barth: Optical Inspection of Welding Seams. in Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers, no. 68, pp. 269-282, Springer Series Communications in Computer Science and Information Science, 2010
  

  @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/PUBPDFS/TiMaBa10.pdf}
  }
  
  

• Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Steffen Möller and Enno Hartmann and Kai-Uwe Kalies and 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, no. 17, pp. 1473-1479, 2010
  

  @article{KaPuMoHaKaSuMa10,
  author = {Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Steffen M{\"o}ller and Enno Hartmann and Kai-Uwe Kalies and P.N.Suganthan and Thomas Martinetz},
  title = {Prediction of apoptosis protein locations with {G}enetic {A}lgorithms and {S}upport {V}ector {M}achines through a new mode of pseudo amino acid composition},
  journal = {Protein Peptide Letters},
  pages = {1473--1479},
  volume = {17},
  year = {2010}
  }
  
  

• Martin Böhme and Martin Haker and Thomas Martinetz and Erhardt Barth: Shading constraint improves accuracy of time-of-flight measurements. Computer Vision and Image Understanding, no. 114, pp. 1329-1335, 2010
  

  @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/PUBPDFS/BoHaMaBa10.pdf}
  }
  
  

• Ganesan Pugalenthi and Krishna Kumar Kandaswamy and P. N. Suganthan and R.Sowdhamini and Thomas Martinetz and Prasanna Kolatkar: SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information. Journal of Biomolecular Structure and Dynamics, no. 28, 2010
  

  @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/PUBPDFS/PuKaSuSoMaKo10.pdf}
  }
  
  

• Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Enno Hartmann and Kai-Uwe Kalies and Steffen Möller and 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, no. 391, pp. 1306-1311, 2010
  

  @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/PUBPDFS/KaPuHaKaMoSuMa09.pdf}
  }
  
  

• Fabian Timm and Thomas Martinetz: Statistical Fourier Descriptors for Defect Image Classification. in Proceedings of the 20th Int. Conference on Pattern Recognition (ICPR), pp. 4190-4193, IEEE Computer Society Press, Istanbul, Turkey, 2010
  

  @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/PUBPDFS/TiMa10.pdf}
  }
  
  

• Weigenand, Arne and Ngo, Hong-Viet V. and Higgins, David and Martinetz, Thomas and Claussen, Jens Christian: Switching between Up and Down States in a conductance-based cortex model. in Proceedings of the International Biosignal Processing Conference, Berlin, Germany, pp. 105:1-3, 2010
  

  @inproceedings{WeNgHiMaCl10,
  author = {Weigenand, Arne and Ngo, Hong-Viet V. and Higgins, David and Martinetz, Thomas and Claussen, Jens Christian},
  title = {Switching between {U}p and {D}own {S}tates in a conductance-based cortex model},
  booktitle = {Proceedings of the International Biosignal Processing Conference, Berlin, Germany},
  pages = {105:1--3},
  year = {2010}
  }
  
  

• H. G. Danielmeyer and T. Martinetz: The Biologic Stability of the Industrial Evolution. European Review (Academia Europea), no. 18, pp. 263-268, 2010
  

  @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/PUBPDFS/DaMa10.pdf}
  }
  
  

• Sascha Klement and Thomas Martinetz: The Support Feature Machine for Classifying with the Least Number of Features. in Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, no. 6353, pp. 88-93, Springer, 2010
  

  @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/PUBPDFS/KlMa10.pdf}
  }
  
  

• Michael Dorr and Thomas Martinetz and Karl Gegenfurtner and Erhardt Barth: Variability of eye movements when viewing dynamic natural scenes. Journal of Vision, no. 10, pp. 1-17, 2010
  

  @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/PUBPDFS/DoMaGeBa10a.pdf},
  url = {http://jov.arvojournals.org/article.aspx?articleid=2121333}
  }
  
  

2009

• Dirk Repsilber and Thomas Martinetz and Mats Björklund: Adaptive Dynamics of Regulatory Networks: Size Matters. EURASIP Journal on Bioinformatics and Systems Biology, no. 2009, 2009
  

  @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/PUBPDFS/ReMaBj09.pdf}
  }
  
  

• H. G. Danielmeyer and T. Martinetz: An exact theory of the industrial evolution and national recovery. 2009
  

  @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/PUBPDFS/DaMa09.pdf}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. in Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009, no. 5629, pp. 145-153, Springer, series Lecture Notes in Computer Science, 2009
  

  @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://webmail.inb.uni-luebeck.de/inb-toolsdemos/SparseCodingNeuralGas.html},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/LaBaMa09a.pdf}
  }
  
  

• Martin Haker and Martin Böhme and Thomas Martinetz and Erhardt Barth: Deictic Gestures With A Time-of-Flight Camera. in Gesture in Embodied Communication and Human-Computer Interaction - International Gesture Workshop GW 2009, no. 5934, pp. 110-121, Springer, 2009
  

  @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/PUBPDFS/HaBoMaBa09.pdf}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Demixing Jazz-Music: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. Neural Network World, no. 19, pp. 561-579, Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague, 2009
  

  @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/PUBPDFS/LaBaMa09b.pdf},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/SparseCodingNeuralGas.html}
  }
  
  

• Martin Böhme and Martin Haker and Kolja Riemer and Thomas Martinetz and Erhardt Barth: Face Detection Using a Time-of-Flight Camera. in Dynamic 3D Imaging - Workshop in Conjunction with DAGM, no. 5742, pp. 167-176, 2009
  

  @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/PUBPDFS/BoHaRiMaBa09.pdf}
  }
  
  

• Martin Böhme and Martin Haker and Thomas Martinetz and Erhardt Barth: Head Tracking With Combined Face And Nose Detection. in Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), pp. 1-4, Iasi, Romania, 2009
  

  @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/PUBPDFS/BoHaMaBa09a.pdf}
  }
  
  

• Martin Haker and Thomas Martinetz and Erhardt Barth: Multimodal Sparse Features for Object Detection. in Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, no. 5769, pp. 923-932, Springer, 2009
  

  @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/PUBPDFS/HaMaBa09.pdf}
  }
  
  

• Martin Haker and Martin Böhme and Thomas Martinetz and Erhardt Barth: Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera. in Dynamic 3D Imaging - Workshop in Conjunction with DAGM, no. 5742, pp. 142-153, 2009
  

  @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/PUBPDFS/HaBoMaBa09a.pdf}
  }
  
  

• Thomas Martinetz and Kai Labusch and Daniel Schneegass: SoftDoubleMaxMinOver: Perceptron-like Training of Support Vector Machines. IEEE Transactions on Neural Networks, no. 20, pp. 1061-1072, 2009
  

  @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://webmail.inb.uni-luebeck.de/inb-toolsdemos/SoftDoubleMaxMinOver.html},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaLaSc09.pdf}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Sparse Coding Neural Gas: Learning of Overcomplete Data Representations. Neurocomputing, no. 72, pp. 1547-1555, 2009
  

  @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/PUBPDFS/LaBaMa09.pdf},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/SparseCodingNeuralGas.html}
   }
  
  

• Fabian Timm and Sascha Klement and Thomas Martinetz and Erhardt Barth: Welding Inspection Using Novel Specularity Features and A One-Class SVM. in Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), no. 1, pp. 146-153, INSTICC, Lisboa, Portugal, 2009
  

  @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/PUBPDFS/TiKlMaBa09.pdf}
  }
  
  

2008

• Martin Böhme and Martin Haker and Thomas Martinetz and Erhardt Barth: A facial feature tracker for human-computer interaction based on 3D Time-of-Flight cameras. Int. J. on Intell. Systems Techn. and App., Issue on Dynamic 3D Imaging, no. 5, pp. 264-273, 2008
  

  @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/PUBPDFS/BoHaMaBa08a.pdf}
  }
  
  

• Martin Böhme and Michael Dorr and Mathis Graw and Thomas Martinetz and Erhardt Barth: A Software Framework for Simulating Eye Trackers. in Proceedings of Eye Tracking Research & Applications (ETRA), pp. 251-258, 2008,
  

  @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/PUBPDFS/BoDoGrMaBa08.pdf}
  }
  
  

• Martin Böhme and Michael Dorr and Thomas Martinetz and Erhardt Barth: A Temporal Multiresolution Pyramid for Gaze-Contingent Manipulation of Natural Video. in Passive Eye Monitoring, pp. 225-243, Springer, 2008
  

  @incollection{BoDoMaBa08,
  author = {Martin B{\"o}hme and Michael Dorr and Thomas Martinetz and Erhardt Barth},
  title = {A Temporal Multiresolution Pyramid for Gaze-Contingent Manipulation of Natural Video},
  editor = {Riad I. Hammoud},
  booktitle = {Passive Eye Monitoring},
  publisher = {Springer},
  chapter = {10},
  pages = {225--243},
  year = {2008}
  }
  
  

• Michael Dorr and Eleonora Vig and Karl R. Gegenfurtner and Thomas Martinetz and Erhardt Barth: Eye movement modelling and gaze guidance. in Fourth International Workshop on Human-Computer Conversation, 2008
  

  @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/PUBPDFS/DoViGeMaBa08.pdf}
  }
  
  

• Fabian Timm and Sascha Klement and Thomas Martinetz: Fast Model Selection for MaxMinOver-based Training of Support Vector Machines. in Proceedings of the 19th Int. Conference on Pattern Recognition (ICPR), IEEE Computer Society Press, Tampa, Florida, USA, 2008
  

  @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/PUBPDFS/TiKlMa08.pdf}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Learning data representations with Sparse Coding Neural Gas. in Proceedings of the 16th European Symposium on Artificial Neural Networks, pp. 233-238, D-Side Publishers, 2008
  

  @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/PUBPDFS/LaBaMa08.pdf},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/SparseCodingNeuralGas.html}
  }
  
  

• Klement, Sascha and Madany Mamlouk, Amir and Martinetz, Thomas: Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, no. 5163, pp. 41-50, Springer, 2008
  

  @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/PUBPDFS/KlMaMa08.pdf}
  }
  
  

• Martin Haker and Martin Böhme and Thomas Martinetz and Erhardt Barth: Scale-Invariant Range Features for Time-of-Flight Camera Applications. in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), pp. 1-6, 2008
  

  @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/PUBPDFS/HaBoMaBa08.pdf}
  }
  
  

• Martin Böhme and Martin Haker and Thomas Martinetz and Erhardt Barth: Shading Constraint Improves Accuracy of Time-of-Flight Measurements. in CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008
  

  @inproceedings{BoHaMaBa08,
  author = {Martin B{\"o}hme and Martin Haker and Thomas Martinetz and Erhardt Barth},
  title = {Shading Constraint Improves Accuracy of Time-of-Flight Measurements},
  booktitle = {CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV)},
  year = {2008},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoHaMaBa08.pdf}
  }
  
  

• Kai Labusch and Fabian Timm and Thomas Martinetz: Simple Incremental One-Class Support Vector Classification. in Pattern Recognition - Proceedings of the DAGM, pp. 21-30, 2008
  

  @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/PUBPDFS/LaTiMa08.pdf}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Simple Method for High-Performance Digit Recognition Based on Sparse Coding. IEEE Transactions on Neural Networks, no. 19, pp. 1985-1989, 2008
  

  @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/PUBPDFS/LaBaMa08c.pdf},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/DigitRecognition.html}
  }
  
  

• Kai Labusch and Erhardt Barth and Thomas Martinetz: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, no. 5163, pp. 788-797, Springer, 2008
  

  @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/PUBPDFS/LaBaMa08b.pdf},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/SparseCodingNeuralGas.html}
  }
  
  

• Daniel Schneegass and Steffen Udluft and Thomas Martinetz: Uncertainty Propagation for Quality Assurance in Reinforcement Learning. in Proc. of the International Joint Conference on Neural Networks, pp. 2588-2595, 2008
  

  @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/PUBPDFS/ScUdMa08.pdf}
  }
  
  

2007

• Daniel Schneegass and Steffen Udluft and Thomas Martinetz: Explicit Kernel Rewards Regression for Data-Efficient Near-optimal Policy Identification. in Proc. of the European Symposium on Artificial Neural Networks, pp. 337-342, 2007
  

  @inproceedings{ScUdMa07a,
  author = {Daniel Schneega{\ss} and Steffen Udluft and Thomas Martinetz},
  title = {{E}xplicit {K}ernel {R}ewards {R}egression for {D}ata-{E}fficient {N}ear-optimal {P}olicy {I}dentification},
  booktitle = {Proc. of the {E}uropean {S}ymposium on {A}rtificial {N}eural {N}etworks},
  editor = {Michel Verleysen},
  pages = {337--342},
  year = {2007},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ScUdMa07a.pdf}
  }
  
  

• Michael Dorr and Martin Böhme and Thomas Martinetz and Erhardt Barth: Gaze beats mouse: a case study. in The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK, pp. 16-19, 2007
  

  @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/PUBPDFS/DoBoMaBa07.pdf}
  }
  
  

• Martin Haker and Martin Böhme and Thomas Martinetz and Erhardt Barth: Geometric Invariants for Facial Feature Tracking with 3D TOF Cameras. in Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), no. 1, pp. 109-112, Iasi, Romania, 2007
  

  @inproceedings{HaBoMaBa07,
  author = {Martin Haker and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
  title = {Geometric Invariants for Facial Feature Tracking with 3{D} {TOF} Cameras},
  booktitle = {Proceedings of the {IEEE} {I}nternational {S}ymposium on {S}ignals, {C}ircuits \& {S}ystems ({ISSCS})},
  address = {Iasi, Romania},
  volume = {1},
  pages = {109--112},
  year = {2007},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/HaBoMaBa07.pdf}
  }
  
  

• Daniel Schneegass and Steffen Udluft and Thomas Martinetz: Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. in Proc. of the International Conference on Artificial Neural Networks, pp. 109-118, 2007
  

  @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/PUBPDFS/ScUdMa07b.pdf}
  }
  
  

• Kai Labusch and Udo Siewert and Thomas Martinetz and Erhardt Barth: Learning optimal features for visual pattern recognition. in Human Vision and Electronic Imaging XII, no. 6492, Proceedings of SPIE, 2007
  

  @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/PUBPDFS/LaSiMaBa07.pdf}
  }
  
  

• Daniel Schneegass and Steffen Udluft and Thomas Martinetz: Neural Rewards Regression for Near-Optimal Policy Identification in Markovian and Partial Environments. in Proc. of the European Symposium on Artificial Neural Networks, pp. 301-306, 2007
  

  @inproceedings{ScUdMa07c,
  author = {Daniel Schneega{\ss} and Steffen Udluft and Thomas Martinetz},
  title = {{N}eural {R}ewards {R}egression for {N}ear-{O}ptimal {P}olicy {I}dentification in {M}arkovian and {P}artial {E}nvironments},
  booktitle = {Proc. of the {E}uropean {S}ymposium on {A}rtificial {N}eural {N}etworks},
  editor = {Michel Verleysen},
  pages = {301--306},
  year = {2007},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ScUdMa07c.pdf}
  }
  
  

• Daniel Schneegass and Anton Maximilian Schaefer and Thomas Martinetz: The Intrinsic Recurrent Support Vector Machine. in Proc. of the European Symposium on Artificial Neural Networks, pp. 325-330, 2007
  

  @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/PUBPDFS/ScScMa07.pdf}
  }
  
  

2006

• André Meyer and Martin Böhme and Thomas Martinetz and Erhardt Barth: A Single-Camera Remote Eye Tracker. in Perception and Interactive Technologies, no. 4021, pp. 208-211, Springer, 2006
  

  @inproceedings{MeBoMaBa06,
  author = {Andr{\'e} Meyer and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
  title = {A {S}ingle-{C}amera {R}emote {E}ye {T}racker},
  booktitle = {Perception and Interactive Technologies},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer},
  volume = {4021},
  pages = {208--211},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MeBoMaBa06.pdf}
  }
  
  

• Martin Böhme and Michael Dorr and Christopher Krause and Thomas Martinetz and Erhardt Barth: Eye Movement Predictions on Natural Videos. Neurocomputing, no. 69, pp. 1996-2004, 2006,
  

  @article{BoDoKrMaBa06,
  author = {Martin B{\"o}hme and Michael Dorr and Christopher Krause and Thomas Martinetz and Erhardt Barth},
  title = {Eye Movement Predictions on Natural Videos},
  journal = {Neurocomputing},
  year = 2006,
  volume = {69},
  number = {16--18},
  pages = {1996--2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoDoKrMaBa06.pdf}
  }
  
  

• Martinetz, T. and Madany Mamlouk, A. and Mota, C.: Fast and Easy Computation of Approximate Smallest Enclosing Balls. Proc. SIBGRAPI, pp. 163-170, 2006
  

  @article{MaMaMo06,
  author = {Martinetz, T. and Madany Mamlouk, A. and Mota, C.},
  title = {Fast and {E}asy {C}omputation of {A}pproximate {S}mallest {E}nclosing {B}alls},
  journal = {Proc. SIBGRAPI},
  pages = {163--170},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaMaMo06.pdf}
  }
  
  

• Michael Dorr and Martin Böhme and Thomas Martinetz and Erhardt Barth: Gaze-Contingent Spatio-Temporal Filtering in a Head-Mounted Display. in Perception and Interactive Technologies, no. 4021, pp. 205-207, Springer, 2006
  

  @inproceedings{DoBoMaBa06a,
  author = {Michael Dorr and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
  title = {Gaze-Contingent Spatio-Temporal Filtering in a Head-Mounted Display},
  booktitle = {Perception and Interactive Technologies},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer},
  volume = {4021},
  pages = {205--207},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/DoBoMaBa06a.pdf}
  }
  
  

• Martin Böhme and Michael Dorr and Thomas Martinetz and Erhardt Barth: Gaze-Contingent Temporal Filtering of Video. in Proceedings of Eye Tracking Research & Applications (ETRA), pp. 109-115, 2006,
  

  @inproceedings{BoDoMaBa06,
  comment = {This is the entry that should appear on websites and that includes a copyright notice. For a citation in a paper, use item BoDoMaBa06 instead.},
  author = {Martin B{\"o}hme and Michael Dorr and Thomas Martinetz and Erhardt Barth},
  title = {Gaze-Contingent Temporal Filtering of Video},
  booktitle = {Proceedings of Eye Tracking Research \& Applications (ETRA)},
  year = 2006,
  pages = {109--115},
  note = {\copyright\ ACM, 2006. 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 2006, San Diego, California, 27-29 March 2006. http://doi.acm.org/10.1145/1117309.1117353},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoDoMaBa06.pdf}
  }
  
  

• Erhardt Barth and Michael Dorr and Martin Böhme and Karl R Gegenfurtner and Thomas Martinetz: Guiding Eye Movements for Better Communication and Augmented Vision. in Perception and Interactive Technologies, no. 4021, pp. 1-8, Springer, 2006
  

  @inproceedings{BaDoBoGeMa06a,
  author = {Erhardt Barth and Michael Dorr and Martin B{\"o}hme and Karl R Gegenfurtner and Thomas Martinetz},
  title = {Guiding Eye Movements for Better Communication and Augmented Vision},
  booktitle = {Perception and Interactive Technologies},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer},
  volume = {4021},
  pages = {1--8},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BaDoBoGeMa06a.pdf}
  }
  
  

• Erhardt Barth and Michael Dorr and Martin Böhme and Karl R. Gegenfurtner and Thomas Martinetz: Guiding the mind`s eye: improving communication and vision by external control of the scanpath. in Human Vision and Electronic Imaging, no. 6057, 2006
  

  @inproceedings{BaDoBoGeMa06,
  author = {Erhardt Barth and Michael Dorr and Martin B{\"o}hme and Karl R. Gegenfurtner and Thomas Martinetz},
  title = {Guiding the mind's eye: improving communication and vision by external control of the scanpath},
  booktitle = {Human Vision and Electronic Imaging},
  editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly},
  series = {Proc. SPIE},
  volume = {6057},
  year = {2006},
  note = {Invited contribution for a special session on Eye Movements, Visual Search, and Attention: a Tribute to Larry Stark.},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BaDoBoGeMa06.pdf}
  }
  
  

• Daniel Schneegass and Steffen Udluft and Thomas Martinetz: Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach.. in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, pp. 428-433, 2006
  

  @inproceedings{ScUdMa06,
  author = {Daniel Schneega{\ss} and Steffen Udluft and Thomas Martinetz},
  title = {Kernel {R}ewards {R}egression: {A}n {I}nformation {E}fficient {B}atch {P}olicy {I}teration {A}pproach.},
  editor = {V. Devedzic},
  booktitle = {Proceedings of the IASTED International Conference on Artificial Intelligence and Applications},
  pages = {428--433},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ScUdMa06.pdf}
  }
  
  

• Daniel Schneegass and Kai Labusch and Thomas Martinetz: MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. in Artificial Neural Networks - ICANN 2006, pp. 150-158, Springer, Berlin, Heidelberg, 2006
  

  @inproceedings{ScLaMa06,
  author = {Daniel Schneega{\ss} and Kai Labusch and Thomas Martinetz},
  title = {{M}ax{M}in{O}ver {R}egression: {A} {S}imple {I}ncremental {A}pproach for {S}upport {V}ector {F}unction {A}pproximation},
  booktitle = {Artificial Neural Networks - ICANN 2006},
  pages = {150--158},
  publisher = {Springer},
  address = {Berlin, Heidelberg},
  year = {2006},
  series = {Lecture Notes in Computer Science},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ScLaMa06.pdf}
  }
  
  

• Daniel Schneegass and Thomas Martinetz and Michael Clausohm: OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.. in Proceedings of the 14th European Symposium on Artificial Neural Networks, pp. 575-580, 2006
  

  @inproceedings{ScMaCl06,
  author = {Daniel Schneega{\ss} and Thomas Martinetz and Michael Clausohm},
  title = {Online{D}ouble{M}ax{M}in{O}ver: a simple approximate time and information efficient online {S}upport {V}ector {C}lassification method.},
  editor = {Michel Verleysen},
  booktitle = {Proceedings of the 14th European Symposium on Artificial Neural Networks},
  year = {2006},
  pages = {575--580}
  }
  
  

• Daniel Polani and Chrystopher Nehaniv and Thomas Martinetz and Jan T. Kim: Relevant Information in Optimized Persistence vs. Progeny Strategies. in Proc. Artificial Life X, 2006
  

  @inproceedings{PoNeMaKi06,
  author = {Daniel Polani and Chrystopher Nehaniv and Thomas Martinetz and Jan T. Kim},
  year = {2006},
  title = {Relevant {I}nformation in {O}ptimized {P}ersistence vs. {P}rogeny {S}trategies},
  editor = {L. M.Rocha and M. Bedau and D. Floreano and R. Goldstone and A. Vespignani and L. Yaeger},
  booktitle = {Proc. Artificial Life X},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoNeMaKi06.pdf}
  }
  
  

• Martin Böhme and André Meyer and Thomas Martinetz and Erhardt Barth: Remote Eye Tracking: State of the Art and Directions for Future Development. in The 2nd Conference on Communication by Gaze Interaction - COGAIN 2006, Turin, Italy, pp. 10-15, 2006
  

  @inproceedings{BoMeMaBa06,
  author = {Martin B{\"o}hme and Andr{\'e} Meyer and Thomas Martinetz and Erhardt Barth},
  title = {Remote Eye Tracking: State of the Art and Directions for Future Development},
  booktitle = {The 2nd Conference on Communication by Gaze Interaction -- COGAIN 2006, Turin, Italy},
  pages = {10--15},
  year = {2006},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoMeMaBa06.pdf}
  }
  
  

2005

• U. Brinkschulte and J. Becker and D. Fey and C. Hochberger and T. Martinetz and C. Müller-Schloer and H. Schmeck and T. Ungerer and R. Würtz: ARCS 2005 - System Aspects in Organic and Pervasive Computing - Workshops Procedeedings, Innsbruck Austria, March 14-17. Berlin, Offenbach, 2005
  

  @misc{BrBeFeHoMaMuSchUnWu05,
  author = {U. Brinkschulte and J. Becker and D. Fey and C. Hochberger and T. Martinetz and C. M{\"u}ller-Schloer and H. Schmeck and T. Ungerer and R. W{\"u}rtz},
  title = {ARCS 2005 - System Aspects in Organic and Pervasive Computing - Workshops Procedeedings, Innsbruck Austria, March 14-17},
  address = {Berlin, Offenbach},
  year = {2005}
  }
  
  

• Anke Meyer-Baese and Karsten Jancke and Axel Wismueller and Simon Foo and Thomas Martinetz: Medical image compression using topology-preserving neural networks. Engineering Applications of Artificial Intelligence, no. 18, pp. 383-392, 2005
  

  @article{MeJaWiFoMa05,
  author = {Anke Meyer-Baese and Karsten Jancke and Axel Wismueller and Simon Foo and Thomas Martinetz},
  title = {Medical image compression using topology-preserving neural networks},
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {18},
  number = {4},
  pages = {383--392},
  year = {2005},
  issn = {0952-1976},
  url = {http://www.sciencedirect.com/science/article/pii/S0952197604001459}
  }
  
  

• Michael Dorr and Martin Böhme and Thomas Martinetz and Erhardt Barth: Predicting, analysing, and guiding eye movements. in Neural Information Processing Systems Conference (NIPS 2005), Workshop on Machine Learning for Implicit Feedback and User Modeling, 2005
  

  @inproceedings{DoBoMaBa05b,
  author = {Michael Dorr and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
  title = {Predicting, analysing, and guiding eye movements},
  booktitle = {Neural Information Processing Systems Conference (NIPS 2005), Workshop on Machine Learning for Implicit Feedback and User Modeling},
  year = {2005},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/DoBoMaBa05b.pdf}
  }
  
  

• Thomas Martinetz and Kai Labusch and Daniel Schneegass: SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.. in Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II, pp. 301-306, 2005
  

  @inproceedings{MaLaSc05,
  author = {Thomas Martinetz and Kai Labusch and Daniel Schneega{\ss}},
  title = {Soft{D}ouble{M}in{O}ver: {A} {S}imple {P}rocedure for {M}aximum {M}argin {C}lassification.},
  editor = {Wlodzislaw Duch and Janusz Kacprzyk and Erkki Oja and Slawomir Zadrozny},
  series = {Lecture Notes in Computer Science},
  booktitle = {Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II},
  year = {2005},
  pages = {301--306},
  url = {https://webmail.inb.uni-luebeck.de/inb-toolsdemos/SoftDoubleMaxMinOver.html},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaLaSc05.pdf}
  }
  
  

• Madany Mamlouk, A. and Sharp, H. and Menne, K. M. L. and Hofmann, U. G. and Martinetz, T.: Unsupervised Spike Sorting with ICA and its Evaluation using GENESIS Simulations. Neurocomputing, no. 65-66, pp. 275-282, 2005
  

  @article{MaShMeHoMa05,
  author = {Madany Mamlouk, A. and Sharp, H. and Menne, K. M. L. and Hofmann, U. G. and Martinetz, T.},
  title = {Unsupervised {S}pike {S}orting with {ICA} and its {E}valuation using {GENESIS} {S}imulations},
  journal = {Neurocomputing},
  volume = {65--66},
  pages = {275--282},
  year = {2005},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaShMeHoMa05.pdf}
  }
  
  

• Michael Dorr and Martin Böhme and Thomas Martinetz and Erhardt Barth: Visibility of temporal blur on a gaze-contingent display. in APGV 2005 ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, pp. 33-36, 2005
  

  @inproceedings{DoBoMaBa05,
  author = {Michael Dorr and Martin B{\"o}hme and Thomas Martinetz and Erhardt Barth},
  title = {Visibility of temporal blur on a gaze-contingent display},
  booktitle = {APGV 2005 ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization},
  pages = {33--36},
  year = {2005},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/DoBoMaBa05.pdf}
  }
  
  

2004

• J. T. Kim and J. Gewehr and T. Martinetz: Binding Matrix: A Novel Approach for Binding Site Recognition. Journal of Bioinformatics and Computational Biology, no. 2, pp. 289-307, 2004
  

  @article{KiGeMa04,
  author = { J. T. Kim and J. Gewehr and T. Martinetz},
  title = {Binding {M}atrix: {A} {N}ovel {A}pproach for {B}inding {S}ite {R}ecognition},
  journal = {Journal of Bioinformatics and Computational Biology},
  volume = {2},
  pages = {289--307},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/KiGeMa04.pdf}
  }
  
  

• Martinetz, T. and Madany Mamlouk, A.: Easy and Fast Computation of Approximate Smallest Enclosing Balls. 2004
  

  @techreport{MaMa04a,
  author = {Martinetz, T. and Madany Mamlouk, A.},
  title = {Easy and {F}ast {C}omputation of {A}pproximate {S}mallest {E}nclosing {B}alls},
  institution = {University of L{\"u}beck},
  type = {Technical Report},
  number = {SIIM-TR-A-04-13},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaMa04a.pdf}
  }
  
  

• Martin Böhme and Christopher Krause and Erhardt Barth and Thomas Martinetz: Eye Movement Predictions Enhanced by Saccade Detection. in Brain Inspired Cognitive Systems, pp. CD, 2004
  

  @inproceedings{BoKrBaMa04,
  author = {Martin B{\"o}hme and Christopher Krause and Erhardt Barth and Thomas Martinetz},
  title = {Eye {M}ovement {P}redictions {E}nhanced by {S}accade {D}etection},
  booktitle = {Brain Inspired Cognitive Systems},
  isbn = {1 85769 199 7},
  pages = {CD},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoKrBaMa04.pdf}
  }
  
  

• Michael Dorr and Thomas Martinetz and Karl Gegenfurtner and Erhardt Barth: Guidance of Eye Movements on a Gaze-Contingent Display. in Dynamic Perception Workshop of the GI Section ``Computer Vision``, pp. 89-94, 2004
  

  @inproceedings{DoMaGeBa04a,
  author = {Michael Dorr and Thomas Martinetz and Karl Gegenfurtner and Erhardt Barth},
  title = {Guidance of Eye Movements on a Gaze-Contingent Display},
  booktitle = {Dynamic Perception Workshop of the GI Section {``}Computer Vision{''}},
  editor = {Uwe J. Ilg and Heinrich H. B{\"u}lthoff and Hanspeter A. Mallot},
  pages = {89--94},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/DoMaGeBa04a.pdf}
  }
  
  

• Thomas Martinetz: MaxMinOver: A Simple Incremental Learning Procedure for Support Vector Classification. in IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), pp. 2065-2070, Budapest, Hungary, 2004
  

  @inproceedings{Mart04a,
  author = {Thomas Martinetz},
  title = {Max{M}in{O}ver: {A} {S}imple {I}ncremental {L}earning {P}rocedure for {S}upport {V}ector {C}lassification},
  booktitle = {IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004)},
  address = {Budapest, Hungary},
  pages = {2065--2070},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart04a.pdf}
  }
  
  

• T. Martinetz: MinOver Revisited for Incremental Support-Vector-Classification. in DAGM 2004, no. 3175, pp. 187-194, Springer-Verlag Berlin Heidelberg, 2004
  

  @inproceedings{Mart04,
  author = {T. Martinetz},
  year = {2004},
  title = {Min{O}ver {R}evisited for {I}ncremental {S}upport-{V}ector-{C}lassification},
  editor = {C.E. Rasmussen and H.H. Buelthoff and M. Giese and B. Schoelkopf},
  booktitle = {DAGM 2004},
  volume = {3175},
  series = {LNCS},
  pages = {187--194},
  publisher = {Springer-Verlag Berlin Heidelberg},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart04.pdf}
  }
  
  

• Madany Mamlouk, A. and Martinetz, T.: On the Dimensions of the Olfactory Perception Space. Neurocomputing, no. 58-60, pp. 1019-1025, 2004
  

  @article{MaMa04,
  author = {Madany Mamlouk, A. and Martinetz, T.},
  title = {On the {D}imensions of the {O}lfactory {P}erception {S}pace},
  journal = {Neurocomputing},
  volume = {58--60},
  pages = {1019--1025},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaMa04.pdf}
  }
  
  

• J. T. Kim and T. Martinetz and D. Polani: On the Evolution of Information in the Constituents of Regulatory Gene. in Function and Regulation of Cellular Systems. Experiments and Models, pp. 259-264, Basel, 2004
  

  @inproceedings{KiMaPo04,
  author = {J. T. Kim and T. Martinetz and D. Polani},
  title = {On the {E}volution of {I}nformation in the {C}onstituents of {R}egulatory {G}ene},
  editor = {A. Deutsch and J. Howard and M. Falcke and W. Zimmermann},
  booktitle = {Function and Regulation of Cellular Systems. Experiments and Models},
  address = {Basel},
  pages = {259--264},
  year = {2004}
  }
  
  

• Martin Böhme and Christopher Krause and Thomas Martinetz and Erhardt Barth: Saliency Extraction for Gaze-Contingent Displays. in Proceedings of the 34th GI-Jahrestagung, no. 2, pp. 646-650, 2004
  

  @inproceedings{BoKrMaBa04,
  author = {Martin B{\"o}hme and Christopher Krause and Thomas Martinetz and Erhardt Barth},
  title = {Saliency {E}xtraction for {G}aze-{C}ontingent {D}isplays},
  booktitle = {Proceedings of the 34th GI-Jahrestagung},
  volume = {2},
  pages = {646--650},
  note = {Workshop on Organic Computing},
  year = {2004},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BoKrMaBa04.pdf}
  }
  
  

2003

• J. T. Kim and T. Martinetz and D. Polani: Bioinformatic Principles Underlying the Information Content of Transcription Factor Binding Sites. Journal of Theoretical Biology, no. 220, pp. 529-544, 2003
  

  @article{KiMaPo03,
  author = {J. T. Kim and T. Martinetz and D. Polani},
  title = {Bioinformatic {P}rinciples {U}nderlying the {I}nformation {C}ontent of {T}ranscription {F}actor {B}inding {S}ites},
  journal = {Journal of Theoretical Biology},
  volume = {220},
  pages = {529--544},
  year = {2003},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/KiMaPo03.pdf}
  }
  
  

• E Barth and J Drewes and T Martinetz: Dynamic predictions of tracked gaze. in Seventh International Symposium on Signal Processing and its Applications, Paris, 2003
  

  @inproceedings{BaDrMa03a,
  author = {E Barth and J Drewes and T Martinetz},
  title = {Dynamic predictions of tracked gaze},
  booktitle = {Seventh International Symposium on Signal Processing and its Applications},
  year = {2003},
  address = {Paris},
  note = {Special Session on Foveated Vision in Image and Video Processing},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BaDrMa03a.pdf}
  }
  
  

• Erhardt Barth and Jan Drewes and Thomas Martinetz: Individual predictions of eye-movements with dynamic scenes. in Electronic Imaging 2003, no. 5007, pp. 252-259, 2003
  

  @inproceedings{BaDrMa03,
  author = {Erhardt Barth and Jan Drewes and Thomas Martinetz},
  booktitle = {Electronic Imaging 2003},
  editor = {Bernice E Rogowitz and Thrasyvoulos N Pappas},
  organization = {SPIE},
  title = {Individual predictions of eye-movements with dynamic scenes},
  volume = {5007},
  pages = {252--259},
  year = {2003},
  url = {https://webmail.inb.uni-luebeck.de/inb-publications/htmls/ei2003.html}
  }
  
  

• A. Meyer-Bäse and T. Otto and T. Martinetz and D. Auer and A. Wismüller: Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. in Proceedings of the European Symposium on Artificial Neural Networks (ESANN), no. D-Side Publishers 4, pp. 509-514, 2003
  

  @inproceedings{MeOtMaAuWi03,
  author = {A. Meyer-B{\"a}se and T. Otto and T. Martinetz and D. Auer and A. Wism{\"u}ller},
  title = {Model-{F}ree {F}unctional {MRI} {A}nalysis {U}sing {T}opographic {I}ndependent {C}omponent {A}nalysis},
  booktitle = {Proceedings of the European Symposium on Artificial Neural Networks (ESANN)},
  volume = {D-Side Publishers 4},
  pages = {509--514},
  year = {2003},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MeOtMaAuWi03.pdf}
  }
  
  

• Madany Mamlouk, A. and Kim, J. T. and Barth, E. and Brauckmann, M. and Martinetz, T.: One-Class Classification with Subgaussians. in Pattern Recognition (DAGM 2003), no. 2781, pp. 346-353, Springer-Verlag Berlin Heidelberg, 2003
  

  @inproceedings{MaKiBaBrMa03,
  author = {Madany Mamlouk, A. and Kim, J. T. and Barth, E. and Brauckmann, M. and Martinetz, T.},
  year = {2003},
  title = {{O}ne-{C}lass {C}lassification with {S}ubgaussians},
  editor = {B. Michaelis and G. Krell},
  booktitle = {Pattern Recognition (DAGM 2003)},
  volume = {2781},
  series = {LNCS},
  pages = {346--353},
  publisher = {Springer-Verlag Berlin Heidelberg},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaKiBaBrMa03.pdf}
  }
  
  

• T. Martinetz and J. Gewehr and J. T. Kim: Statistical Learning for Detecting Protein-DNA-Binding Sites. in Proceedings of the International Joint Conference on Neural Networks 2003, pp. 2940-2945, IEEE Press, 2003
  

  @inproceedings{MaGeKi03,
  author = {T. Martinetz and J. Gewehr and J. T. Kim},
  title = {Statistical {L}earning for {D}etecting {P}rotein-{DNA}-{B}inding {S}ites},
  booktitle= {Proceedings of the International Joint Conference on Neural Networks 2003},
  editor = {D. C. Wunsch II and M. Hasselmo and K. Venayagamoorthy},
  publisher = {IEEE Press},
  pages = {2940--2945},
  year = {2003},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaGeKi03.pdf}
  }
  
  

2002

• D. Polani and J. T. Kim and T. Martinetz: Abstracting and Synthesizing the Principles of Living Systems. Proceedings of the Fifth German Workshop on Artificial Life. infix / Akademische Verlagsgesellschaft Aka, Berlin, 2002
  

  @book{PoKiMa02,
  author = {D. Polani and J. T. Kim and T. Martinetz},
  title = {Abstracting and {S}ynthesizing the {P}rinciples of {L}iving {S}ystems. {P}roceedings of the {F}ifth {G}erman {W}orkshop on {A}rtificial {L}ife},
  publisher = {infix / Akademische Verlagsgesellschaft Aka},
  address = {Berlin},
  year = {2002}
  }
  
  

• E. Barth and T. Martinetz: Information technology for active perception. in 8th Annual German-American Beckman Frontiers of Science Symposium, 2002
  

  @inproceedings{BaMa02,
  author = {E. Barth and T. Martinetz},
  title = {Information technology for active perception},
  booktitle = {8th Annual German-American Beckman Frontiers of Science Symposium},
  year = {2002},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/BaMa02.pdf},
  note = {Poster in PDF}
  }
  
  

• Dirk Repsilber and Jan T. Kim and Hans Liljenström and Thomas Martinetz: Using Coarse-Grained, Discrete Systems for Data-Driven Inference of Regulatory Gene Networks: Perspectives and Limitations for Reverse Engineering. in Proceedings of the Fifth German Workshop on Artificial Life, pp. 67-76, infix / Akademische Verlagsgesellschaft Aka, Berlin, 2002
  

  @inproceedings{ReKiLiMa02,
  author = {Dirk Repsilber and Jan T. Kim and Hans Liljenstr{\"o}m and Thomas Martinetz},
  title = {Using {C}oarse-{G}rained, {D}iscrete {S}ystems for {D}ata-{D}riven {I}nference of {R}egulatory {G}ene {N}etworks: {P}erspectives and {L}imitations for {R}everse {E}ngineering},
  booktitle = {Proceedings of the Fifth German Workshop on Artificial Life},
  editor = {Daniel Polani and Jan T. Kim and Thomas Martinetz},
  publisher = {infix / Akademische Verlagsgesellschaft Aka},
  address = {Berlin},
  pages = {67--76},
  year = {2002},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ReKiLiMa02.pdf}
  }
  
  

2001

• M. Haker and A. Meyer and D. Polani and T. Martinetz: A Method for Incorporation of New Evidence to Improve World State Estimation. in Proceedings of the RoboCup 2001 Symposium, Seattle, pp. 356-361, 2001
  

  @inproceedings{HaMePoMa01,
  author = {M. Haker and A. Meyer and D. Polani and T. Martinetz},
  title = {A {M}ethod for {I}ncorporation of {N}ew {E}vidence to {I}mprove {W}orld {S}tate {E}stimation},
  booktitle = {Proceedings of the RoboCup 2001 Symposium, Seattle},
  pages = {356--361},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/HaMePoMa01.pdf}
  }
  
  

• D. Polani and T. Martinetz and J. T. Kim: An Information-Theoretic Approach for the Quantification of Relevance. in Advances in Artificial Life (Proc. 6th European Conference on Artificial Life), Springer-Verlag, 2001
  

  @inproceedings{PoMaKi01a,
  author = {D. Polani and T. Martinetz and J. T. Kim},
  year = {2001},
  title = {An {I}nformation-{T}heoretic {A}pproach for the {Q}uantification of {R}elevance},
  editor = {J. Kelemen and P. Sosik},
  booktitle = {Advances in Artificial Life (Proc. 6th European Conference on Artificial Life)},
  series = {LNCS},
  publisher = {Springer-Verlag},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoMaKi01a.pdf}
  }
  
  

• T. Martinetz: Bioinformatik - Informationsverarbeitung in der Biologie. Focus MUL, no. 18, pp. 74-81, 2001
  

  @article{Mart01,
  author = {T. Martinetz},
  title = {Bioinformatik - {I}nformationsverarbeitung in der {B}iologie},
  journal = {Focus MUL},
  volume = {18},
  number = {2},
  pages = {74--81},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart01.pdf}
  }
  
  

• Claus O Wilke and Christopher Ronnewinkel and Thomas Martinetz: Dynamic Fitness Landscapes in Molecular Evolution. Physics Reports, no. 349, pp. 395-446, 2001
  

  @article{WiRoMa01,
  author = {Claus O Wilke and Christopher Ronnewinkel and Thomas Martinetz},
  title = {Dynamic {F}itness {L}andscapes in {M}olecular {E}volution},
  journal = {Physics Reports},
  volume = {349},
  pages = {395--446},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiRoMa01.pdf}
  }
  
  

• C. Ronnewinkel and T. Martinetz: Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems. in GECCO 2001 - Workshop Proceedings, Morgan Kaufmann, San Francisco, 2001
  

  @inproceedings{RoMa01,
  author = {C. Ronnewinkel and T. Martinetz},
  title = {{E}xplicit {S}peciation with few a priori {P}arameters for {D}ynamic {O}ptimization {P}roblems},
  booktitle = {GECCO 2001 - Workshop Proceedings},
  publisher = {Morgan Kaufmann},
  address = {San Francisco},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RoMa01.ps.gz}
  }
  
  

• C. Ronnewinkel and C.O. Wilke and T. Martinetz: Genetic algorithms in time-dependent environments. L. Kallel, B. Naudts, and A. Rogers, editors, Theoretical Aspects of Evolutionary Computing, Natural Computing, pp. 261-285, Springer, 2001
  

  @article{RoWiMa01,
  author = {C. Ronnewinkel and C.O. Wilke and T. Martinetz},
  title = {Genetic algorithms in time-dependent environments},
  journal = {L. Kallel, B. Naudts, and A. Rogers, editors, Theoretical Aspects of Evolutionary Computing, Natural Computing},
  pages = {261--285},
  publisher = {Springer},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RoWiMa01.pdf}
  }
  
  

• Jan T. Kim and Thomas Martinetz and Daniel Polani: On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. in Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Maschroder Weg 1, 38124 Braunschweig, Germany, pp. 192-194, 2001
  

  @inproceedings{KiMaPo01,
  author = {Jan T. Kim and Thomas Martinetz and Daniel Polani},
  title = {On the {E}ffects of {T}ranscription {F}actor {P}roperties on the {I}nformation {C}ontent of {B}inding {S}ites},
  editor = {Edgar Wingender and Ralf Hofest{\"a}dt and Ines Liebich},
  booktitle = {Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Maschroder Weg 1, 38124 Braunschweig, Germany},
  pages ={192--194},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/KiMaPo01.pdf}
  }
  
  

• D. Polani and T. Martinetz and J. T. Kim: On the Quantification of Relevant Information. 2001
  

  @misc{PoMaKi01b,
  author = {D. Polani and T. Martinetz and J. T. Kim},
  title = {On the {Q}uantification of {R}elevant {I}nformation},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoMaKi01b.ps.gz},
  note = {Presented at SCAI'01 (Scandinavian Conference on Artificial Intelligence), Feb. 19-21, 2001}
  }
  
  

• D. Polani and T. Martinetz: Team Description for Lucky Lübeck - Evidence Based Position Estimation. in RoboCup-2000. Robot Soccer World Cup IV, LNCS, pp. 481-484, Springer, 2001
  

  @inproceedings{PoMa01,
  author = {D. Polani and T. Martinetz},
  title = {{T}eam {D}escription for {L}ucky {L}{\"u}beck - {E}vidence {B}ased {P}osition {E}stimation},
  editor = {P. Stone and T. Balch and G. Kraetzschmar},
  booktitle = {RoboCup-2000. Robot Soccer World Cup IV, LNCS},
  publisher = {Springer},
  pages = {481--484},
  year = {2001},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoMa01.ps.gz}
  }
  
  

1999

• Claus O. Wilke and Thomas Martinetz: Adaptive walks on time-dependent fitness landscapes. Physical Review E, no. 60, pp. 2154-2159, 1999
  

  @article{WiMa99b,
  author = {Claus O. Wilke and Thomas Martinetz},
  title = {Adaptive walks on time-dependent fitness landscapes},
  journal = {Physical Review E},
  pages = {2154--2159},
  volume = {60},
  number = {2},
  year = {1999},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiMa99b.pdf}
  }
  
  

• C.O. Wilke and T. Martinetz: Lifetimes of agents under external stress. Phys. Rev. E, Rapid Communication, no. 59(3), pp. R2512-R2515, 1999
  

  @article{WiMa99,
  author = {C.O. Wilke and T. Martinetz},
  title = {Lifetimes of agents under external stress},
  journal = {Phys. Rev. E, Rapid Communication},
  volume = {59(3)},
  pages = {R2512--R2515},
  year = {1999},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiMa99.pdf}
  }
  
  

• Claus O. Wilke and Christopher Ronnewinkel and Thomas Martinetz: Molecular Evolution in Time Dependent Environments. in Advances in Artificial Life, ECAL 1999, Springer, 1999
  

  @inproceedings{WiRoMa99,
  author = {Claus O. Wilke and Christopher Ronnewinkel and Thomas Martinetz},
  title = {Molecular {E}volution in {T}ime {D}ependent {E}nvironments},
  booktitle = {Advances in Artificial Life, ECAL 1999},
  editor = {Dario Floreano and Jean-Daniel Nicoud and Francesco Mondada},
  series = {Lecture Notes in Artifical Intelligence},
  publisher = {Springer},
  year = {1999},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiRoMa99.pdf}
  }
  
  

1998

• C. O. Wilke and T. Martinetz: A coarse-grained model of evolution with variable system size. in 2nd German Workshop on Artificial Life, Dortmund 1998 SYS Report, Internal Report of Systems Analysis Research Group, University of Dortmund, Department of Computer Science, Dortmund, Germany, 1998
  

  @inproceedings{WiMa98,
  author = {C. O. Wilke and T. Martinetz},
  title = {A coarse-grained model of evolution with variable system size},
  editor = {P. Dittrich and H. Rauhe and W. Banzhaf},
  booktitle = {2nd German Workshop on Artificial Life, Dortmund 1998 = SYS Report, Internal Report of Systems Analysis Research Group, University of Dortmund, Department of Computer Science, Dortmund, Germany},
  year = {1998},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiMa98.ps.gz}
  }
  
  

• C. O. Wilke and S. Altmeyer and T. Martinetz: Aftershocks in Coherent-Noise Models. Physica D, no. 120, pp. 401-417, 1998
  

  @article{WiAlMa98b,
  author = {C. O. Wilke and S. Altmeyer and T. Martinetz},
  title = {Aftershocks in {C}oherent-{N}oise {M}odels},
  journal = {Physica D},
  volume = {120},
  pages = {401--417},
  year = {1998},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiAlMa98b.pdf}
  }
  
  

• C.O. Wilke and T. Martinetz: Hierarchical noise in large systems of independent agents. Phys. Rev. E, no. 58(6), pp. 7101-7108, 1998
  

  @article{WiMa98a,
  author = {C.O. Wilke and T. Martinetz},
  title = {Hierarchical noise in large systems of independent agents},
  journal = {Phys. Rev. E},
  volume = {58(6)},
  pages = {7101--7108},
  year = {1998},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiMa98a.pdf}
  }
  
  

• S. Altmeyer and C. O. Wilke and T. Martinetz: How fast do structures emerge in hypercycle systems?. in Third German Workshop on Artificial Life, Verlag Harri Deutsch, 1998
  

  @inproceedings{AlWiMa98,
  author = {S. Altmeyer and C. O. Wilke and T. Martinetz},
  title = {How fast do structures emerge in hypercycle systems?},
  editor = {C. O. Wilke and S. Altmeyer and T. Martinetz},
  booktitle = {Third German Workshop on Artificial Life},
  publisher = {Verlag Harri Deutsch},
  year = {1998},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/AlWiMa98.pdf}
  }
  
  

• Claus O. Wilke and Stephan Altmeyer and Thomas Martinetz: Large-scale evolution and extinction in a hierarchically structured environment. in Proceedings of Artificial Life VI, Los Angeles, June 26-29, 1998, MIT Press, 1998
  

  @inproceedings{WiAlMa98a,
  author = {Claus O. Wilke and Stephan Altmeyer and Thomas Martinetz},
  title = {Large-scale evolution and extinction in a hierarchically structured environment},
  editor = {C. Adami and R. Belew and H. Kitano and C. Taylor},
  booktitle = {Proceedings of Artificial Life VI, Los Angeles, June 26-29, 1998},
  publisher = {MIT Press},
  year = {1998},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiAlMa98a.pdf}
  }
  
  

• C. O. Wilke and S. Altmeyer and T. Martinetz: Third German Workshop on Artificial Life. Verlag Harri Deutsch, 1998
  

  @book{WiAlMa98,
  author = {C. O. Wilke and S. Altmeyer and T. Martinetz},
  title = {Third {G}erman {W}orkshop on {A}rtificial {L}ife},
  publisher = {Verlag Harri Deutsch},
  year = {1998}
  }
  
  

1997

• C. O. Wilke and T. Martinetz: A Simple Model of Evolution with Variable System Size. Phys. Rev. E, no. 56, pp. 7128-7131, 1997
  

  @article{WiMa97,
  author = {C. O. Wilke and T. Martinetz},
  title = {A {S}imple {M}odel of {E}volution with {V}ariable {S}ystem {S}ize},
  journal = {Phys. Rev. E},
  volume = {56},
  pages = {7128--7131},
  year = {1997},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WiMa97.pdf}
  }
  
  

• T. Villmann and R. Der and M. Herrmann and T. Martinetz: Topology Preservation in Self-Organizing Feature Maps: Exact Definition and Measurement. IEEE-Transactions on Neural Networks, no. 8, pp. 256-266, 1997
  

  @article{ViDeHeMa97,
  author = {T. Villmann and R. Der and M. Herrmann and T. Martinetz},
  title = {Topology {P}reservation in {S}elf-{O}rganizing {F}eature {M}aps: {E}xact {D}efinition and {M}easurement},
  journal = {IEEE-Transactions on Neural Networks},
  volume = {8},
  number = {2},
  pages = {256--266},
  year = {1997},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ViDeHeMa97.pdf}
  }
  
  

1996

• H. G. Danielmeyer and T. Martinetz: Best practice code of the industrial society - the Forum Engelberg model. European Review (Academia Europea), 1996
  

  @article{DaMa96,
  author = {H. G. Danielmeyer and T. Martinetz},
  title = {Best practice code of the industrial society - the {F}orum {E}ngelberg model},
  journal = {European Review (Academia Europea)},
  year = {1996}
  }
  
  

• H. G. Danielmeyer and T. Martinetz: Innovation, investment, and sustainable growth. in Acta 7. Forum Engelberg, 1996
  

  @inproceedings{DaMa96a,
  author = {H. G. Danielmeyer and T. Martinetz},
  title = {Innovation, investment, and sustainable growth},
  booktitle = {Acta 7. Forum Engelberg},
  year = {1996}
  }
  
  

• T. Martinetz and O. Gramckow and P. Protzel and G. Sörgel: Neuronale Netze zur Steuerung von Walzstrassen. atp - Automatisierungstechnische Praxis, no. 10, 1996
  

  @article{MaGrPrSo96,
  author = {T. Martinetz and O. Gramckow and P. Protzel and G. S{\"o}rgel},
  title = {Neuronale {N}etze zur {S}teuerung von {W}alzstra{\ss}en},
  journal = {atp - Automatisierungstechnische Praxis},
  volume = {10},
  year = {1996},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaGrPrSo96.pdf}
  }
  
  

1995

• T. Martinetz: Lernverfahren für komplexe Aktuatorik/Robotik. in Neuro-Fuzzy Technologien - Anwendungen, pp. 89-101, VDI-Verlag, Düsseldorf, 1995
  

  @inproceedings{Mart95,
  author = {T. Martinetz},
  title = {Lernverfahren f{\"u}r komplexe {A}ktuatorik/{R}obotik},
  editor = {H. J. Zimmermann},
  booktitle = {Neuro-Fuzzy Technologien - Anwendungen},
  publisher = {VDI-Verlag},
  address = {D{\"u}sseldorf},
  pages = {89--101},
  year = {1995},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart95.pdf}
  }
  
  

• T. Martinetz and P. Protzel and O. Gramckow and G. Sörgel: Neural Network Control for Steel Rolling Mills. in Neural Networks: Artificial Intelligence and Industrial Applications, pp. 280-286, Springer, Heidelberg, 1995
  

  @inproceedings{MaPrGrSo95,
  author = {T. Martinetz and P. Protzel and O. Gramckow and G. S{\"o}rgel},
  title = {Neural {N}etwork {C}ontrol for {S}teel {R}olling {M}ills},
  editor = {B. Kappen and S. Gielen},
  booktitle = {Neural Networks: Artificial Intelligence and Industrial Applications},
  pages = {280--286},
  publisher = {Springer},
  address = {Heidelberg},
  year = {1995},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaPrGrSo95.pdf}
  }
  
  

• T. Martinetz and J. Hollatz: Neuro-Fuzzy in der Prozessautomatisierung. in Neuro-Fuzzy in der industriellen Automatisierung, pp. 135-144, expert-Verlag, Renningen, 1995
  

  @inproceedings{MaHo95,
  author = {T. Martinetz and J. Hollatz},
  title = {Neuro-{F}uzzy in der {P}roze{\ss}automatisierung},
  editor = {K. W. Bonfig},
  booktitle = {Neuro-Fuzzy in der industriellen Automatisierung},
  publisher = {expert-Verlag},
  address = {Renningen},
  pages = {135--144},
  year = {1995},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaHo95.pdf}
  }
  
  

• T. Martinetz and P. Protzel and O. Gramckow: Walzwerksteuerung mit neuronalen Netzen. in Neuronale Netze: Anwendungen in der Automatisierungstechnik, Bericht 1184, pp. 35-42, VDI-Verlag, Düsseldorf, 1995
  

  @inproceedings{MaPrGr95,
  author = {T. Martinetz and P. Protzel and O. Gramckow},
  title = {Walzwerksteuerung mit neuronalen {N}etzen},
  booktitle = {Neuronale Netze: Anwendungen in der Automatisierungstechnik, Bericht 1184},
  pages = {35--42},
  publisher = {VDI-Verlag},
  address = {D{\"u}sseldorf},
  year = {1995},
  note = {Auch im Jahrbuch 1997 der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik,
  pages 333--340, D{\"u}sseldorf 1995. VDI-Verlag},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaPrGr95.pdf}
  }
  
  

1994

• T. Villmann and R. Der and T. Martinetz,title A novel approach to measure the toplogy preservation of feature maps: in Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, pp. 298-301, Springer, Heidelberg, 1994
  

  @inproceedings{ViDeMa94a,
  author = {T. Villmann and R. Der and T. Martinetz},title = {A novel approach to measure the toplogy preservation of feature maps},
  editor = {M. Marinaro and P. Morasso},
  booktitle = {Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent},
  publisher = {Springer},
  address = {Heidelberg},
  pages = {298--301},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ViDeMa94a.pdf}
  }
  
  

• T. Martinetz and T. Poppe: A neural network approach to estimating material properties. in Proceedings of the World Congress on Neural Networks (WCNN-94), San Diego, pp. 541-544, 1994
  

  @inproceedings{MaPo94,
  author = {T. Martinetz and T. Poppe},
  title = {A neural network approach to estimating material properties},
  booktitle = {Proceedings of the World Congress on Neural Networks (WCNN-94), San Diego},
  pages = {541--544},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaPo94.pdf}
  }
  
  

• T. Villmann and R. Der and T. Martinetz: A new quantitative measure of topology preservation in Kohonen`s feature maps. in Proceedings of the IEEE International Conference on Neural Networks (ICNN-94), Orlando, no. II, pp. 645-648, 1994
  

  @inproceedings{ViDeMa94,
  author = {T. Villmann and R. Der and T. Martinetz},
  title = {A new quantitative measure of topology preservation in {K}ohonen's feature maps},
  booktitle = {Proceedings of the IEEE International Conference on Neural Networks (ICNN-94), Orlando},
  volume = {II},
  pages = {645--648},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ViDeMa94.pdf}
  }
  
  

• T. Martinetz: Neural learning can form structures from computational geometry. in Tagungsband des 39. internationalen wissenschaftlichen Kolloquiums, Ilmenau, no. II, pp. 206-211, 1994
  

  @inproceedings{Mart94,
  author = {T. Martinetz},
  title = {Neural learning can form structures from computational geometry},
  booktitle = {Tagungsband des 39. internationalen wissenschaftlichen Kolloquiums, Ilmenau},
  volume = {II},
  pages = {206--211},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart94.pdf}
  }
  
  

• T. Martinetz and P. Protzel and O. Gramckow and G. Sörgel: Neural network control for rolling mills. in Proceedings of the Second European Congress on Intelligent Techniques and Soft Computing (EUFIT-94), Aachen, no. I, pp. 147-152, 1994
  

  @inproceedings{MaPrGrSo94,
  author = {T. Martinetz and P. Protzel and O. Gramckow and G. S{\"o}rgel},
  title = {Neural network control for rolling mills},
  booktitle = {Proceedings of the Second European Congress on Intelligent Techniques and Soft Computing (EUFIT-94), Aachen},
  volume = {I},
  pages = {147--152},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaPrGrSo94.pdf}
  }
  
  

• T. Poppe and T. Martinetz and K. Hohendahl: Optimierte Steuerung eines Elektrolichtbogenofens. in Neue Techniken der Informationsverarbeitung, pp. 19-29, Winkler-Verlag, München, 1994
  

  @inproceedings{PoMaHo94,
  author = {T. Poppe and T. Martinetz and K. Hohendahl},
  title = {Optimierte {S}teuerung eines {E}lektrolichtbogenofens},
  editor = {M. Schlang and B. Sch{\"u}rmann and E. Linzenkirchner},
  booktitle = {Neue Techniken der Informationsverarbeitung},
  publisher = {Winkler-Verlag},
  address = {M{\"u}nchen},
  pages = {19--29},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoMaHo94.pdf}
  }
  
  

• G. Deco and T. Martinetz: Regularizing stochastic Pott neural networks by penalizing mutual information. in Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, pp. 693-696, Springer, Heidelberg, 1994
  

  @inproceedings{DeMa94,
  author = {G. Deco and T. Martinetz},
  title = {Regularizing stochastic {P}ott neural networks by penalizing mutual information},
  editor = {M. Marinaro and P. Morasso},
  booktitle = {Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent},
  publisher = {Springer},
  address = {Heidelberg},
  pages = {693--696},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/DeMa94.pdf}
  }
  
  

• T. Villmann and R. Der and M. Herrmann and T. Martinetz: Topology preservation in self-organizing feature maps: general definition and efficient measurement. in Lecture Notes in Computer Science, pp. 159-166, Springer, Heidelberg, 1994
  

  @inproceedings{ViDeHeMa94a,
  author = {T. Villmann and R. Der and M. Herrmann and T. Martinetz},
  title = {Topology preservation in self-organizing feature maps: general definition and efficient measurement},
  booktitle = {Lecture Notes in Computer Science},
  publisher = {Springer},
  address = {Heidelberg},
  pages = {159--166},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/ViDeHeMa94a.pdf}
  }
  
  

• T. Martinetz and K. Schulten: Topology Representing Networks. Neural Networks, no. 7(3), pp. 507-522, 1994
  

  @article{MaSc94,
  author = {T. Martinetz and K. Schulten},
  title = {Topology Representing Networks},
  journal = {Neural Networks},
  volume = {7(3)},
  pages = {507--522},
  year = {1994},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaSc94.pdf}
  }
  
  

1993

• T. Martinetz and K. Schulten: A neural network for robot control: cooperation between neural units as a requirement for learning. Computers & Electrical Engineering, no. 19, pp. 315-332, 1993
  

  @article{MaSc93,
  author = {T. Martinetz and K. Schulten},
  title = {A neural network for robot control: cooperation between neural units as a requirement for learning},
  journal = {Computers \& Electrical Engineering},
  volume = {19},
  number = {4},
  pages = {315--332},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaSc93.pdf}
  }
  
  

• T. Martinetz and K. Schulten: A Neural Network with Hebbian-like Adaption Rules Learning Visuomotor Coordination of a PUMA Robot. in Proceedings of the IEEE International Conference on Neural Networks (ICNN-93), San Francisco, no. II, pp. 820-825, 1993
  

  @inproceedings{MaSc93a,
  author = {T. Martinetz and K. Schulten},
  title = {A {N}eural {N}etwork with {H}ebbian-like {A}daption {R}ules {L}earning {V}isuomotor {C}oordination of a {PUMA} {R}obot},
  booktitle = {Proceedings of the IEEE International Conference on Neural Networks (ICNN-93), San Francisco},
  volume = {II},
  pages = {820--825},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaSc93a.pdf}
  }
  
  

• T. Martinetz: Competitive hebbian learning rule forms perfectly topology preserving maps. in Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, pp. 427-434, Springer, Heidelberg, 1993
  

  @inproceedings{Mart93,
  author = {T. Martinetz},
  title = {Competitive hebbian learning rule forms perfectly topology preserving maps},
  editor = {S. Gielen and B. Kappen},
  booktitle = {Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam},
  publisher = {Springer},
  address = {Heidelberg},
  pages = {427--434},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart93.pdf}
  }
  
  

• T. Poppe and T. Martinetz: Estimating material properties for process optimization. in Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, pp. 795-798, Springer, Heidelberg, 1993
  

  @inproceedings{PoMa93,
  author = {T. Poppe and T. Martinetz},
  title = {Estimating material properties for process optimization},
  editor = {S. Gielen and B. Kappen},
  booktitle = {Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam},
  publisher = {Springer},
  address = {Heidelberg},
  pages = {795--798},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/PoMa93.pdf}
  }
  
  

• T. Martinetz and S. Berkovich and K. Schulten: Neural-gas Network for Vector Quantization and its Application to Time-Series Prediction. IEEE-Transactions on Neural Networks, no. 4, pp. 558-569, 1993
  

  @article{MaBeSc93,
  author = {T. Martinetz and S. Berkovich and K. Schulten},
  title = {{\""N}eural-gas{\""} {N}etwork for {V}ector {Q}uantization and its {A}pplication to {T}ime-{S}eries {P}rediction},
  journal = {IEEE-Transactions on Neural Networks},
  volume = {4},
  number ={4},
  pages = {558--569},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaBeSc93.pdf}
  }
  
  

• T. Martinetz: Neuronale Karten in der Robotik: Lernen visuell geführter Greifbewegungen. in Konferenzband des 3. Anwendersymposiums zu Neuro-Fuzzy Technologien, Bochum, 1993
  

  @inproceedings{Mart93b,
  author = {T. Martinetz},
  title = {Neuronale {K}arten in der {R}obotik: {L}ernen visuell gef{\"u}hrter {G}reifbewegungen},
  booktitle = {Konferenzband des 3. Anwendersymposiums zu Neuro-Fuzzy Technologien, Bochum},
  year = {1993},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/Mart93b.pdf}
  }
  
  

1992

• H. Ritter and T. Martinetz and K. Schulten: Neural Computation and Self-Organizing Maps: An Introduction. Addison-Wesley, Massachusetts, 1992
  

  @book{ RiMaSc92,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Neural {C}omputation and {S}elf-{O}rganizing {M}aps: {A}n {I}ntroduction},
  publisher = {Addison-Wesley},
  address = {Massachusetts},
  year = {1992},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RiMaSc92.pdf}
  }
  
  

• T. Martinetz: Selbstorganisierende neuronal Netzwerkmodelle zur Bewegungssteuerung. Sankt Augustin, 1992
  

  @misc{Mart92,
  author = {T. Martinetz},
  title = {Selbstorganisierende neuronal {N}etzwerkmodelle zur {B}ewegungssteuerung},
  address = {Sankt Augustin},
  year = {1992},
  note = {Dissertationen zur k{\"u}nstlichen Intelligenz}
  }
  
  

1991

• T. Martinetz and K. Schulten: A Neural-Gas Network Learns Topologies. Artificial Neural Networks, no. I, pp. 397-402, 1991
  

  @article{ MaSc91,
  author = {T. Martinetz and K. Schulten},
  title = {A {\""}{N}eural-{G}as{\""} {N}etwork {L}earns {T}opologies},
  journal = {Artificial Neural Networks},
  volume = {I},
  pages = {397--402},
  year = {1991},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaSc91.pdf}
  }
  
  

• J. Walter and T. Martinetz and K. Schulten: Industrial Robot learns Visuo-motor Coordination by Means of Neural-Gas Network. in Artificial Neural Networks, no. I, pp. 357-364, Amsterdam, 1991
  

  @inproceedings{WaMaSc91,
  author = {J. Walter and T. Martinetz and K. Schulten},
  title = {Industrial {R}obot learns {V}isuo-motor {C}oordination by {M}eans of {\""}{N}eural-{G}as{\""} {N}etwork},
  editor = {T. Kohonen et al.},
  booktitle = {Artificial Neural Networks},
  volume = {I},
  pages = {357--364},
  address = {Amsterdam},
  year = {1991},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/WaMaSc91.pdf}
  }
  
  

• H. Ritter and T. Martinetz and K. Schulten: Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke. Addison-Wesley, Bonn, 1991
  

  @book{RiMaSc91,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Neuronale {N}etze - eine {E}inf{\"u}hrung in die {N}euroinformatik selbstorganisierender {N}etzwerke},
  publisher = {Addison-Wesley},
  address = {Bonn},
  edition = {2},
  year = {1991}
  }
  
  

• S. Berkovich and P. Dalger and T. Hesselroth and T. Martinetz and B. Noël and J. Walter and K. Schulten: Vector quantization algorithm for time-series prediction and visuo-motor control of robots. in Verteilte Künstliche Intelligenz und Kooperatives Arbeiten, pp. 443-447, Heidelberg, 1991
  

  @inproceedings{BeDaHeMaNoWaSch91,
  author = {S. Berkovich and P. Dalger and T. Hesselroth and T. Martinetz and B. No{\"e}l and J. Walter and K. Schulten},
  title = {Vector quantization algorithm for time-series prediction and visuo-motor control of robots},
  editor = {H. W. Brauer},
  booktitle = {Verteilte K{\"u}nstliche Intelligenz und Kooperatives Arbeiten},
  address = {Heidelberg},
  pages = {443--447},
  year = {1991}
  }
  
  

1990

• T. Martinetz and K. Schulten: Hierarchical Neural Net for Learning Control of a Robot`s Arm and Gripper. in Proceedings of the International Joint Conference on Neural Networks (IJCNN-90), San Diego 1990, no. II, pp. 747-752, 1990
  

  @inproceedings{MaSc90,
  author = {T. Martinetz and K. Schulten},
  title = {Hierarchical {N}eural {N}et for {L}earning {C}ontrol of a {R}obot's {A}rm and {G}ripper},
  booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN-90),
  San Diego 1990},
  volume = {II},
  pages = {747--752},
  year = {1990},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaSc90.pdf}
  }
  
  

• T. Martinetz and H. Ritter and K. Schulten: Learning of Visuomotor-Coordination of a Robot Arm with Redundant Degrees of Freedom. in Proceedings of the International Conference on Parallel Processing in Neural Sytems and Computers (ICNC-90), Düsseldorf 1990, pp. 431-434, Amsterdam, 1990
  

  @inproceedings{MaRiSc90,
  author = {T. Martinetz and H. Ritter and K. Schulten},
  title = {Learning of {V}isuomotor-{C}oordination of a {R}obot {A}rm with {R}edundant {D}egrees of {F}reedom},
  editor = {R. Eckmiller and G. Hartmann and G. Hauske},
  booktitle = {Proceedings of the International Conference on Parallel Processing in Neural Sytems and Computers (ICNC-90), D{\"u}sseldorf 1990},
  pages = {431--434},
  address = {Amsterdam},
  year = {1990},
  note = { And in: Proceedings of the Third International Symposium on Robotics and Manufacturing, Vancouver 1990 (ISRAM-90), pages 521-526, 1990},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaRiSc90.pdf}
   }
  
  

• H. Ritter and T. Martinetz and K. Schulten: Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke. Addison-Wesley, Bonn, 1990
  

  @book{RiMaSc90,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Neuronale {N}etze - eine {E}inf{\"u}hrung in die {N}euroinformatik selbstorganisierender {N}etzwerke},
  publisher = {Addison-Wesley},
  address = {Bonn},
  year = {1990},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RiMaSc90.pdf}
  }
  
  

• T. Martinetz and H. Ritter and K. Schulten: Three-Dimensional Neural Net for Learning Visuomotor Coordination of a Robot Arm. IEEE-Transactions on Neural Networks, no. 1, pp. 131-136, 1990
  

  @article{MaRiSc90a,
  author = {T. Martinetz and H. Ritter and K. Schulten},
  title = {Three-{D}imensional {N}eural {N}et for {L}earning {V}isuomotor {C}oordination of a {R}obot {A}rm},
  journal = {IEEE-Transactions on Neural Networks},
  volume = {1},
  number = {1},
  pages = {131--136},
  year = {1990},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaRiSc90a.pdf}
  }
  
  

1989

• T. Martinetz and H. Ritter and K. Schulten: 3D-Neural-Net for Learning Visuomotor-Coordination of a Robot Arm. in Proceedings of the International Joint Conference on Neural Networks (IJCNN-89), Washington 1989, no. II, pp. 351-356, 1989
  

  @inproceedings{MaRiSc89,
  author = {T. Martinetz and H. Ritter and K. Schulten},
  title = {3{D}-{N}eural-{N}et for {L}earning {V}isuomotor-{C}oordination of a {R}obot {A}rm},
  booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN-89), Washington 1989},
  volume = {II},
  pages = {351--356},
  year = {1989},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaRiSc89.pdf}
  }
  
  

• H. Ritter and T. Martinetz and K. Schulten: Ein Gehirn für Roboter - Wie neuronale Netzwerke Roboter steuern können. MC-Computermagazin, no. 2, pp. 48-61, 1989
  

  @article{RiMaSc89,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Ein {G}ehirn f{\"u}r {R}oboter - {W}ie neuronale {N}etzwerke {R}oboter steuern k{\"o}nnen},
  journal = {MC-Computermagazin},
  volume = {2},
  pages = {48--61},
  year = {1989},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RiMaSc89.pdf}
  }
  
  

• T. Martinetz and H. Ritter and K. Schulten: Kohonen`s Self-organizing Map for Modeling the Formation of the Auditory Cortex of a Bat. in Connectionism in Perspective, pp. 403-412, Amsterdam, 1989
  

  @inproceedings{MaRiSc89a,
  author = {T. Martinetz and H. Ritter and K. Schulten},
  title = {Kohonen's {S}elf-organizing {M}ap for {M}odeling the {F}ormation of the {A}uditory {C}ortex of a {B}at},
  editor = {R. Pfeifer and Z. Schreter and F. Fogelman-Soulie and L. Steels},
  booktitle = {Connectionism in Perspective},
  address = {Amsterdam},
  pages = {403--412},
  year = {1989},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/MaRiSc89a.pdf}
  }
  
  

• H. Ritter and T. Martinetz and K. Schulten: Topology-Conserving Maps for Learning Visuo-Motor-Coordination. Neural Networks, no. 2, pp. 159-168, 1989
  

  @article{RiMaSc89a,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Topology-{C}onserving {M}aps for {L}earning {V}isuo-{M}otor-{C}oordination},
  journal = {Neural Networks},
  volume = {2},
  pages = {159--168},
  year = {1989},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RiMaSc89a.pdf}
  }
  
  

• H. Ritter and T. Martinetz and K. Schulten: Topology-Conserving Maps for Motor Control. in Neural Networks, from Models to Applications, pp. 579-591, EZIDET, 1989
  

  @inproceedings{RiMaSc89b,
  author = {H. Ritter and T. Martinetz and K. Schulten},
  title = {Topology-{C}onserving {M}aps for {M}otor {C}ontrol},
  editor = {L. Personnaz and G. Dreyfus},
  booktitle = {Neural Networks, from Models to Applications},
  publisher = {EZIDET},
  pages = {579--591},
  year = {1989},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/PUBPDFS/RiMaSc89b.pdf}
  }
  
  

1988

• T. Martinetz: Selbstorganisierte visuo-motorische Kopplung. 1988
  

  @mastersthesis{Mart88,
  author = {T. Martinetz},
  title = {Selbstorganisierte visuo-motorische {K}opplung},
  year = {1988},
  school = {Technical University of Munich},
  note = {Diploma Thesis}
  }