Publikationen

2017

• Phan, H., Hertel, L., Maass, M., Koch, P., Mazur, R., and Mertins, A.: Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks: IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP), vol. 25, no. 6, pp. 1278-1290, 06 2017
  
• Phan, H., Koch, P., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: CNN-LTE: A Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Classification: Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 03 2017
  
• Burciu, I., Martinetz, T., and Barth, E.: Sensing Forest for Pattern Recognition: Advanced Concepts for Intelligent Vision Systems: 18th International Conference, ACIVS 2017, vol. 10617, Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., and Scheunders, P. (Ed.), Springer, pp. 126-137, 2017
  
• Danielmeyer, H. G. and Martinetz, T.: Industrial Society`s Natural Future: , 2017, To be published in the Springer Encyclopedia of Complexity and Systens Science.
  
• Semeniuta, S., Severyn, A., and Barth, E.: A Hybrid Convolutional Variational Autoencoder for Text Generation: EMNLP, Association for Computational Linguistics, pp. 627-637, 2017
  

2016

• Phan, H., Hertel, L., Maass, M., and Mertins, A.: Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks: Proc. 17th Ann. Conf. Int. Speech Communication Association (INTERSPEECH), San Francisco, 09 2016
  
• Schütze, H., Barth, E., and Martinetz, T.: Learning Efficient Data Representations with Orthogonal Sparse Coding: IEEE Transactions on Computational Imaging, vol. 2, no. 3, pp. 177-189, 09 2016
  
• Phan, H., Hertel, L., Maass, M., Mazur, R., and Mertins, A.: Learning Representations for Nonspeech Audio Events through Their Similarities to Speech Patterns: IEEE/ACM Trans. Audio, Speech, and Language Processing (TASLP), vol. 24, no. 4, pp. 807-822, 04 2016
  
• Burciu, I., Martinetz, T., and Barth, E.: Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset: Journal of Imaging Science and Technology, vol. 60, no. 2, pp. 020402-1-020402-10, 2016
  
• Burciu, I., Martinetz, T., and Barth, E.: Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset: Human Vision and Electronic Imaging, HVEI 2016, pp. 1-10, 2016
  
• Danielmeyer, H. G. and Martinetz, T.: The industrial society`s intrinsic dynamics: , 2016, Abstract
  
• Hertel, L., Phan, H., and Mertins, A.: Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning: Proc. 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 2016
  
• Knyazew, B., Barth, E., and Martinetz, T.: Autoconvolution for Unsupervised Feature Learning: arXiv:1606.00611v1 [cs.CV], 2016
  
• Lämmermann, K., Vogel, H., and Traut, W.: The mitochondrial genome of the Mediterranean flour moth, Ephestia kuehniella (Lepidoptera: Pyralidae), and identification of invading mitochondrial sequences (numts) in the W chromosone.: European Journal of Entomology, vol. 113, pp. 482-488, 2016
  
• Maier, O., Schröder, C., Forkert, N. D., Martinetz, T., and Handels, H.: Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study: PloS one, vol. 11, no. 2, Public Library of Science, , 2016
  
• Schellenberger Costa, M., Born, J., Claussen, J. C., and Martinetz, T.: Modeling the effect of sleep regulation on a neural mass model: Journal of Computational Neuroscience, vol. 41, no. 1, pp. 15-28, 2016
  
• Schellenberger Costa, M., Weigenand, A., Ngo, H. V., Marshall, L., Born, J., Martinetz, T., and Claussen, J. C.: A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation: PloS computational Biology, vol. 12, no. 9, , 2016
  
• Weigenand, A., Mölle, M., Werner, F., Martinetz, T., and Marshall, L.: Timing matters: open-loop stimulation does not improve overnight consolidation of word pairs in humans: European Journal of Neuroscience, vol. 44, pp. 2357-2368, 2016
  
• Weigenand, A., Schellenberger Costa, M., Ngo, H., Mölle, M., Marshall, L., Claussen, J. C., and Martinetz, T.: A thalamocortical neural mass model of evoked potentials during NREM sleep: Cosyne Abstracts 2016, Salt Lake City USA, 2016
  
• Semeniuta, S., Severyn, A., and Barth, E.: Recurrent Dropout without Memory Loss: COLING, ACL, pp. 1757-1766, 2016
  
• Semeniuta, S. and Barth, E.: Image classification with recurrent attention models: SSCI, IEEE, pp. 1-7, 2016
  

2015

• Burciu, I., Martinetz, T., and Barth, E.: Foveated Manifold Sensing for object recognition: IEEE International Black Sea Conference on Communications and Networking, pp. 196-200, 2015
  
• Coleca, F., State, A., Klement, S., Barth, E., and Martinetz, T.: Self-organizing maps for hand and full body tracking: Neurocomputing, vol. 147, Elsevier, pp. 174-184, 2015, Advances in Self-Organizing Maps Subtitle of the special issue: Selected Papers from the Workshop on Self-Organizing Maps 2012 (WSOM 2012)
  
• Dornseifer, S., Willkomm, S., Kretschmer-Kazemi Far, R., Liebschwager, J., Beltsiou, F., Frank, K., Laufer, S. D., Martinetz, T., Sczakiel, G., Claussen, J. C., and Restle, T.: RNAi revised-target mRNA-dependent enhancement of gene silencing: Nucleic acids research, vol. 43, no. 22, pp. 10623-10632, 2015
  
• Hertel, L., Barth, E., Käster, T., and Martinetz, T.: Deep Convolutional Neural Networks as Generic Feature Extractors: Proc. 2015 IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015
  
• Hocke, J. and Martinetz, T.: Learning Transformation Invariance from Global to Local: Workshop New Challenges in Neural Computation 2015, vol. 03, Hammer, B. and Villmann, T. (Ed.), pp. 16-24, 2015
  
• Hocke, J. and Martinetz, T.: Maximum Distance Minimization for Feature Weighting: Pattern Recognition Letters, vol. 52, pp. 48-52, 2015
  
• Krause, C., Ens, K., Fechner, K., Voigt, J., Fraune, J., Rohwäder, E., Hahn, M., Danckwardt, M., Feirer, C., Barth, E., Martinetz, T., and Stöcker, W.: EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics: Lupus, vol. 24, no. 4-5, pp. 516-529, 2015
  
• Maier, O., Schröder, C., Forkert, N. D., Martinetz, T., and Handels, H.: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study: PloS one, vol. 10, no. 12, Public Library of Science, , 2015
  
• Ngo, H. V., Miedema, A., Faude, I., Martinetz, T., Mölle, M., and Born, J.: Driving Sleep Slow Oscillations by Auditory Closed-Loop Stimulation - A Self-Limiting Process: The Journal of Neuroscience, vol. 35, no. 17, pp. 6630-6638, 2015
  
• Schütze, H., Barth, E., and Martinetz, T.: Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization: IJCNN 2015 Conference Proceedings, pp. 15540:1-8, 2015
  
• Scheel, N., Esswanger, A., Münte, T. F., Heldmann, M., Krämer, U. M., and Mamlouk, A. M.: Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity: Bildverarbeitung für die Medizin, Informatik aktuell, pp. 371-376, 2015
  

2014

• Becker, T., Kanje, W., Rapoport, D., Thierbach, K., Scherf, N., Roeder, I., and Mamlouk, A. M.: The Benchmark Data Set CeTres.b-Mi for in vitro Mitosis Detection: IEEE International Symposium on Biomedical Imaging (ISBI`14), pp. 469-472, 2014
  
• Burciu, I., Ion-Margineanu, A., Martinetz, T., and Barth, E.: Visual Manifold Sensing, booktitle Human Vision and Electronic Imaging XIX: , vol. 9014, Proceedings of SPIE Electronic Imaging, pp. 48:1-8, 2014
  
• Hammer, B., He, H., and Martinetz, T.: Learning and modelling big data: ESANN 2014 Proceedings, European Symposium on Artificial Networks, Computational Intelligence and Machine learning. Bruges (Belgium, 23-25 April 2014, pp. 343-352, 2014
  
• Hocke, J. and Martinetz, T.: Global Metric Learning by Gradient Descent: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings, vol. 8681, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P. D., Magg, S., Palm, G., and Villa, A. E. P. (Ed.), Springer, pp. 129-135, 2014
  
• Hocke, J. and Martinetz, T.: Learning Transformation Invariance for Object Recognition: Workshop New Challenges in Neural Computation 2014, vol. 02, Hammer, B. and Villmann, T. (Ed.), pp. 20-25, 2014
  
• Miclut, B., Käster, T., Martinetz, T., and Barth, E.: Committees of deep feedforward networks trained with few data: arXiv:1406.5947v1[cs.CV], 2014
  
• Schütze, H., Barth, E., and Martinetz, T.: An adaptive hierarchical sensing scheme for sparse signals: Human Vision and Electronic Imaging XIX, vol. 9014, Rogowitz, B. E., Pappas, T. N., and Ridder, H. d. (Ed.), pp. 15:1-8, 2014
  
• Scheel, N., Chang, C., and Mamlouk, A. M.: The importance of physiological noise regression in high temporal resolution fMRI: Artificial Neural Networks - ICANN 2014, Springer, pp. 540-547, 2014
  
• Weigenand, A., Schellenberger Costa, M., Ngo, H. V., Claussen, J. C., and Martinetz, T.: Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model: PLoS Computational Biology, vol. 10, , 2014
  

2013

• Coman, H., Barth, E., and Martinetz, T.: Sparse Coding Neural Gas Applied to Image Recognition: Advances in Self-Organizing Maps, vol. 198, Springer Berlin Heidelberg, pp. 105-114, 2013
  
• Coleca, F., Klement, S., Martinetz, T., and Barth, E.: Real-time skeleton tracking for embedded systems: Mobile Computational Photography, vol. 8667D, Proceedings of SPIE, 2013
  
• Coleca, F., Martinetz, T., and Barth, E.: Gesture Interfaces with Depth Sensors: Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200, Springer Berlin Heidelberg, pp. 207-227, 2013
  
• Dorr, M., Vig, E., and Barth, E.: Efficient image representations and features: Human Vision and Electronic Imaging XVIII, vol. 8651, Rogowitz, B. E. and Ridder, T. N. P. H. d. (Ed.), , 2013
  
• Hochstrate, N., Krause, C., Ens, K., Danckwardt, M., Feirer, C., Affeldt, K., Rateike, M., Morrin, M., Wuttig, D., Voigt, J., Fechner, K., Barth, E., Martinetz, T., and Stöcker, W.: Computer-aided immunofluorescence microscopy (CAIFM) for ANCA diagnostics: La Presse Medicale, vol. 42, no. 4, Elsevier Masson, , 2013
  
• Hochstrate, N., Krause, C., Ens, K., Danckwardt, M., Feirer, C., Rohwäder, E., Hahn, M., Affeldt, K., Rateike, M., Morrin, M., Wuttig, D., Fechner, K., Barth, E., Stöcker, W., Martinetz, T., and Voigt, J.: ANA and ANCA diagnostics with computer-aided immunofluorescence microscopy (CAIFM): Zeitschrift für Rheumatologie, vol. 72, Springer Heidelberg, , 2013
  
• Hocke, J. and Martinetz, T.: Feature Weighting by Maximum Distance Minimization: Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings, vol. 8131, Mladenov, V., Koprinkova-Hristova, P. D., Palm, G., Villa, A. E. P., Appollini, B., and Kasabov, N. (Ed.), Springer, pp. 420-425, 2013
  
• Hocke, J. and Martinetz, T.: Application of Maximum Distance Minimization to Gene Expression Data: Workshop New Challenges in Neural Computation 2013, vol. 02, Hammer, B., Martinetz, T., and Villmann, T. (Ed.), pp. 6-7, 2013, Short Paper
  
• Kandaswamy, K. K., Pugalenthi, G., Kalies, K., Hartmann, E., and Martinetz, T.: EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection: Journal of Theoretical Biology, vol. 317, pp. 377-383, 2013
  
• Klement, S., Anders, S., and Martinetz, T.: The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data: Neural Computation, vol. 25/6, pp. 1548-1584, 2013
  
• Ngo, H. V., Martinetz, T., Born, J., and Mölle, M.: Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory: Neuron, vol. 78, pp. 545-553, 2013
  
• Pomarjanschi, L., Dorr, M., Bex, P. J., and Barth, E.: Simple gaze-contingent cues guide eye movements in a realistic driving simulator: IS&T/SPIE Electronic Imaging, vol. 8651, pp. 865110-865110-8, 2013
  
• Schütze, H., Barth, E., and Martinetz, T.: Learning Orthogonal Bases for k-Sparse Representations: Workshop New Challenges in Neural Computation 2013, vol. 02, Hammer, B., Martinetz, T., and Villmann, T. (Ed.), pp. 119-120, 2013, Short Paper
  
• State, A., Coleca, F., Barth, E., and Martinetz, T.: Hand Tracking with an Extended Self-Organizing Map: Advances in Self-Organizing Maps, vol. 198, Estévez, P. A., Príncipe, J. C., and Zegers, P. (Ed.), Springer Berlin Heidelberg, pp. 115-124, 2013
  
• Wellner, M., Käster, T., Martinetz, T., and Barth, E.: Optimizing depth-of-field based on a range map and a wavelet transform: Mobile Computational Photography, vol. 8667D, Proceedings of SPIE, 2013
  

2012

• Becker, T., Rapoport, D., and Madany Mamlouk, A.: From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking: IEEE International Symposium on Biomedical Imaging (ISBI`12), pp. 386-389, 2012
  
• Binder, T., Kriener, F., Wichner, C., Wille, M., Wellner, M., Käster, T., Martinetz, T., and Barth, E.: How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series: Human Vision and Electronic Imaging XVII, vol. 8291, 2012
  
• Claussen, J. C. and Hofmann, U. G.: Sleep, Neuroengineering, and Dynamics: Cognitive Neurodynamics, vol. 6, no. 3, pp. 211-214, 2012
  
• Danielmeyer, H. G. and Martinetz, T.: The physics of business cycles and inflation: arXiv:1212.1282v1 [q-fin.GN], 2012
  
• Danielmeyer, H. G. and Martinetz, T.: Predicting economic growth with classical physics and human biology: arXiv:1212.1286 [q-fin.GN], 2012
  
• Danielmeyer, H. G. and Martinetz, T.: A physical theory of economic groth: arXiv:1206.2494v1 [q-fin.GN], 2012
  
• Dorr, M., Vig, E., and Barth, E.: Colour saliency on video: BIONETICS 2010, vol. 87, Suzuki, J. and Nakano, T. (Ed.), Springer, pp. 601-606, 2012
  
• Dorr, M., Vig, E., and Barth, E.: Eye movement prediction and variability on natural video data sets: Visual Cognition, vol. 20, no. 4/5, pp. 495-514, 2012
  
• Hocke, J., Barth, E., and Martinetz, T.: Application of non-linear transform coding to image processing: Human Vision and Electronic Imaging XVII, vol. 8291, Rogowitz, B. E., Pappas, T. N., and Ridder, H. d. (Ed.), Proceedings of SPIE, 2012
  
• Hocke, J., Dorr, M., and Barth, E.: A compressed sensing model of peripheral vision: Human Vision and Electronic Imaging XVII, vol. 8291, Rogowitz, B. E., Pappas, T. N., and Ridder, H. d. (Ed.), Proceedings of SPIE, 2012
  
• Hocke, J., Labusch, K., Barth, E., and Martinetz, T.: Sparse Coding and Selected Applications: KI - Künstliche Intelligenz, vol. 26, no. 4, Springer Berlin / Heidelberg, pp. 349-355, 2012
  
• Hocke, J. and Martinetz, T.: Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits: Workshop New Challenges in Neural Computation 2012, vol. 03, Hammer, B. and Villmann, T. (Ed.), pp. 113-115, 2012, Short Paper
  
• Machner, B., Dorr, M., Sprenger, A., Gablentz, J. v. d., Heide, W., Barth, E., and Helmchen, C.: Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect: Neuropsychologia, vol. 50, pp. 2415-2425, 2012
  
• Mayer, J., Ngo, H. V., and Schuster, H. G.: Dynamical Mean-Field Equations for a Neural Network with Spike Timing Dependent Plasticity: Journal of Statistical Physics, 2012
  
• Mayer, J., Schuster, H. G., Ngo, H. V., Mölle, M., and Born, J.: Differential influence of sinusoidal and noisy inputs on synaptic connections in a network with STDP: Europhysics Letters, vol. 98, , 2012
  
• Ngo, H. V., Claussen, J. C., Born, J., and Mölle, M.: Induction of slow oscillations by rhythmic acoustic stimulation: Journal of Sleep Research, 2012
  
• Njap, F., Claussen, J. C., Moser, A., and Hofmann, U. G.: Modeling Effect of GABAergic Current in Basal Ganglia Computational Model: Cognitive Neurodynamics, vol. 6, no. 4, pp. 333-342, 2012
  
• Pomarjanschi, L., Dorr, M., and Barth, E.: Gaze guidance reduces the number of collisions with pedestrians in a driving simulator: ACM Transactions on Interactive Intelligent Systems, vol. 1, no. 2, pp. 8:1-8:14, 2012, ((c) ACM, 2012. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Interactive Intelligent Systems, January 2012.)
  
• Pomarjanschi, L., Dorr, M., Rasche, C., and Barth, E.: Safer Driving with Gaze Guidance: BIONETICS 2010, vol. 87, Suzuki, J. and Nakano, T. (Ed.), Springer, pp. 581-586, 2012
  
• Schütt, M. and Claussen, J. C.: Desynchronizing effect of high-frequency stimulation in a generic cortical network model: Cognitive Neurodynamics, vol. 6, no. 4, pp. 343-351, 2012
  
• Schütze, H., Martinetz, T., Anders, S., and Mamlouk, A. M.: A Multivariate Approach to Estimate Complexity of FMRI Time Series: Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II, vol. 7553, Villa, A. E., Duch, W., `Erdi, P., Masulli, F., and Palm, G. (Ed.), Springer, pp. 540-547, 2012
  
• Timm, F. and Barth, E.: Novelty Detection for the Inspection of Light-emitting Diodes: Expert Systems with Applications, vol. 39, no. 3, pp. 3413-3422, 2012
  
• Traulsen, A., Claussen, J. C., and Hauert, C.: Stochastic differential equations for evolutionary dynamics with demographic noise and mutations: Physical Review E, vol. 85, , 2012
  
• Vig, E., Dorr, M., and Barth, E.: Contribution of Spatio-Temporal Intensity Variation to Bottom-up Saliency: BIONETICS 2010, vol. 87, Suzuki, J. and Nakano, T. (Ed.), Springer, pp. 469-474, 2012
  
• Vig, E., Dorr, M., Martinetz, T., and Barth, E.: Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 6, IEEE, pp. 1080-1091, 2012
  
• Voigt, J., Krause, C., Rohwäder, E., Saschenbrecker, S., Hahn, M., Danckwardt, M., Feirer, C., Ens, K., Fechner, K., Barth, E., Martinetz, T., and Stöcker, W.: Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells: Clinical and Developmental Immunology, vol. 2012, 2012, 7 pages
  
• Weigenand, A., Martinetz, T., and Claussen, J. C.: The phase response of the cortical slow oscillation: Cognitive Neurodynamics, vol. 6, no. 4, pp. 367-375, 2012
  

2011

• Labusch, K., Barth, E., and Martinetz, T.: Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction: Neurocomputing, vol. 74, no. 9, pp. 1418-1428, 04 2011
  
• Becker, T., Rapoport, D., and Madany Mamlouk, A.: Adaptive mitosis detection in large in vitro stem cell populations using timelapse microscopy: Bildverarbeitung für die Medizin (BVM 2011), pp. 49-53, 2011
  
• Braenne, I., Erdmann, J., and Mamlouk, A. M.: SNPboost: Interaction Analysis and Risk Prediction on GWA Data: Artificial Neural Networks - ICANN 2011, 21th International Conference, Espoo, Finland, June 14-17th, 2011, Proceedings, vol. 6792, Springer, pp. 111-118, 2011
  
• Pugalenthi, G., Kandaswamy, K. K., and Kolatkar, P.: RSARF: Prediction of residue solvent accessibility from protein sequence using random forest method: Protein & Peptide Letters, vol. 18, 2011, (to appear)
  
• Hocke, J., Martinetz, T., and Barth, E.: Image Deconvolution with Sparse Priors: Workshop New Challenges in Neural Computation 2011, vol. 05, Hammer, B. and Villmann, T. (Ed.), , 2011, Abstract
  
• Kandaswamy, K. K., Chou, K., Martinetz, T., Möller, S., Suganthan, P. N., Sridharan, S., and Pugalenthi, G.: AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties: Journal of Theoretical Biology, vol. 270, no. 1, pp. 56-62, 2011
  
• Shameer, K., Pugalenthi, G., Kandaswamy, K. K., and Sowdhamini, R.: 3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach: Protein & Peptide Letters, vol. 18, 2011
  
• Klement, S. and Martinetz, T.: On the Problem of Finding the Least Number of Features by L1-norm Minimisation: ICANN 2011, Part I, al., T. H. e. (Ed.), Springer, Heidelberg, pp. 315-322, 2011
  
• Klement, S., Timm, F., and Barth, E.: Illumination correction for image stitching: Proceedings of the Int. Conference on Imaging Theory and Applications (IMAGAPP), vol. 1, INSTICC, Algarve, Portugal, pp. 81-86, 2011
  
• Kandaswamy, K. K., Pugalenthi, G., Hazrati, M. K., Kalies, K., and Martinetz, T.: BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and Relief feature selection: BMC Bioinformatics, 2011
  
• Labusch, K., Barth, E., and Martinetz, T.: Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent: IEEE Transactions on Selected Topics in Signal Processing, vol. 5, no. 5, pp. 1048-1060, 2011
  
• Njap, F., Claussen, J. C., Moser, A., and Hofmann, U. G.: Comparing Realistic subthalamic nucleus neuron models: AIP Conf. Proc. / Volume 1371 / Issue 1AIP Conf. Proc, vol. 1371, pp. 102-109, 2011
  
• Olbrich, E., Claussen, J. C., and Achermann, P.: The multiple time scales of sleep dynamics as a challenge for modeling the sleeping brain: Phil. Trans. Roy. Soc A, vol. 369, pp. 3884-3901, 2011
  
• Rapoport, D. H., Becker, T., Madany Mamlouk, A., Schicktanz, S., and Kruse, C.: A Novel Validation Algorithm Allows for Automated Cell Tracking and the Extraction of Biologically Meaningful Parameters: PLoS ONE, vol. 6, no. 11, , 2011
  
• Schneider, N., Barth, E., Bex, P., and Dorr, M.: An open-source low-cost eye-tracking system for portable real-time and offline tracking: Proceedings of the 2011 Conference on Novel Gaze-Controlled Applications, pp. 8:1-4, 2011
  
• Timm, F. and Barth, E.: Non-parametric texture defect detection using Weibull features: Image Processing: Machine Vision Applications IV, IS&T/SPIE Electronic Imaging, San Francisco, USA, 2011
  
• Timm, F. and Barth, E.: Accurate, fast, and robust centre localisation for images of semiconductor components: Image Processing: Machine Vision Applications IV, IS&T/SPIE Electronic Imaging, San Francisco, USA, 2011
  
• Timm, F. and Barth, E.: Accurate eye centre localisation by means of gradients: Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), vol. 1, INSTICC, Algarve, Portugal, pp. 125-130, 2011
  
• Vig, E., Dorr, M., and Barth, E.: Learned saliency transformations for gaze guidance: Human Vision and Electronic Imaging XVI, vol. 7865, Rogowitz, B. E. and Pappas, T. N. (Ed.), SPIE-IS&T, pp. W1-11, 2011
  
• Vig, E., Dorr, M., Martinetz, T., and Barth, E.: Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes: Cognitive Computation, vol. 3, no. 1, Springer New York, pp. 79-88, 2011
  
• Zhang, J., Mamlouk, A. M., Martinetz, T., Chang, S., Wang, J., and Hilgenfeld, R.: PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome: BMC Bioinformatics, vol. 12, , 2011
  

2010

• Barth, E., Dorr, M., Vig, E., Pomarjanschi, L., and Mota, C.: Efficient coding and multiple motions: Vision Research, vol. 50, no. 22, pp. 2190-2199, 2010
  
• Binder, T. and Martinetz, T.: On the boundedness of an iteration involving points on the hypersphere: arXiv:1001.1624v2 [cs.CG], 2010
  
• Böhme, M., Haker, M., Martinetz, T., and Barth, E.: Shading constraint improves accuracy of time-of-flight measurements: Computer Vision and Image Understanding, vol. 114, pp. 1329-1335, 2010
  
• Braenne, I., Labusch, K., and Mamlouk, A. M.: Sparse Coding for Feature Selection on Genome-wide Association Data: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings, vol. 6352, Springer, pp. 337-346, 2010
  
• Braenne, I., Labusch, K., Martinetz, T., and Mamlouk, A. M.: Interpretive Risk Assessment on GWA Data with Sparse Linear Regression: Machine Learning Reports, pp. 61-68, 2010
  
• Danielmeyer, H. G. and Martinetz, T.: The Biologic Stability of the Industrial Evolution: European Review (Academia Europea), vol. 18, no. 2, pp. 263-268, 2010
  
• Dorr, M., Jarodzka, H., and Barth, E.: Space-Variant Spatio-Temporal Filtering of Video for Gaze Visualization and Perceptual Learning: Eye-tracking research & applications, pp. 307-314, 2010, copyright ACM, 2010. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye tracking research & applications 2010, Austin, Texas, 22-2
  
• Dorr, M., Martinetz, T., Gegenfurtner, K., and Barth, E.: Variability of eye movements when viewing dynamic natural scenes: Journal of Vision, vol. 10, no. 10, pp. 1-17, 2010
  
• Pugalenthi, G., Kumar, K. K., Suganthan, P., .Archunan, ., and .Sowdhamini, .: Identification of functionally diverse lipocalin proteins from sequence information using support vector machine: Amino Acids, vol. 39, pp. 777-783, 2010
  
• Kandaswamy, K. K., Pugalenthi, G., Hartmann, E., Kalies, K., Möller, S., Suganthan, P., and Martinetz, T.: SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes: Biochemical and biophysical research communications, vol. 391, no. 3, pp. 1306-1311, 2010
  
• Kandaswamy, K. K., Pugalenthi, G., Möller, S., Hartmann, E., Kalies, K., .N.Suganthan, ., and Martinetz, T.: Prediction of apoptosis protein locations with Genetic Algorithms and Support Vector Machines through a new mode of pseudo amino acid composition: Protein Peptide Letters, vol. 17, pp. 1473-1479, 2010
  
• Shameer, K., Pugalenthi, G., Kandaswamy, K. K., Suganthan, P. N., Archunan, G., and Sowdhamini, R.: Insights in to protein sequence and structure derived features mediating 3D domain swapping mechanism using Support Vector Machine based approach: Bioinformatics and Biology Insights, vol. 4, pp. 33-42, 2010
  
• Klement, S. and Martinetz, T.: The Support Feature Machine for Classifying with the Least Number of Features: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, vol. 6353, Diamantaras, K. I., Duch, W., and Iliadis, L. S. (Ed.), Springer, pp. 88-93, 2010
  
• Klement, S. and Martinetz, T.: A new approach to classification with the least number of features: Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Washington, D.C, USA, 12-14 December, 2010, IEEE Computer Society, pp. 141-146, 2010
  
• Kolb, A., Barth, E., Koch, R., and Larsen, R.: Time-of-Flight Cameras in Computer Graphics: Computer Graphics Forum, vol. 29, no. 1, pp. 141-159, 2010
  
• Kandaswamy, K. K., Pugalenthi, G., Suganthan, P., and Gangal, R.: SVMCRYS: An SVM approach for the prediction of protein crystallization propensity from protein: Protein Peptide Letters, vol. 26, pp. 423-430, 2010
  
• Labusch, K., Barth, E., and Martinetz, T.: Bag of Pursuits and Neural Gas for Improved Sparse Coding: Proceedings of the 19th International Conference on Computational Statistics, Saporta, G. (Ed.), Springer, pp. 327-336, 2010
  
• Labusch, K. and Martinetz, T.: Learning Sparse Codes for Image Reconstruction: Proceedings of the 18th European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), D-Side Publishers, pp. 241-246, 2010
  
• Ngo, H. V., Köhler, J., Mayer, J., Claussen, J. C., and Schuster, H. G.: Triggering up states in all-to-all coupled neurons: Europhysics Letters, vol. 89, , 2010
  
• Ngo, H. V., Köhler, J., Mayer, J., Claussen, J. C., and Schuster, H. G.: Triggering up states in all-to-all coupled neurons: a simple model of cortical up-down switching: Proceedings of the International Biosignal Processing Conference, Berlin, Germany, pp. 57:1-4, 2010
  
• Pugalenthi, G., Kandaswamy, K. K., Suganthan, P. N., .Sowdhamini, ., Martinetz, T., and Kolatkar, P.: SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information: Journal of Biomolecular Structure and Dynamics, vol. 28, no. 3, 2010
  
• Schütt, M. and Claussen, J. C.: Mean extinction times in cyclic coevolutionary rock-paper-scissors dynamics: , 2010, working paper q-bio
  
• Schütt, M. and Claussen, J. C.: Stabilization of biodiversity in the coevolutionary rock-paper-scissors game on complex networks: , 2010, working paper q-bio
  
• Timm, F. and Martinetz, T.: Statistical Fourier Descriptors for Defect Image Classification: Proceedings of the 20th Int. Conference on Pattern Recognition (ICPR), IEEE Computer Society Press, Istanbul, Turkey, pp. 4190-4193, 2010
  
• Timm, F., Martinetz, T., and Barth, E.: Optical Inspection of Welding Seams: Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers, vol. 68, Springer Series Communications in Computer Science and Information Science, pp. 269-282, 2010
  
• Vig, E., Dorr, M., Martinetz, T., and Barth, E.: A Learned Saliency Predictor for Dynamic Natural Scenes: ICANN 2010, Part III, vol. 6354, Diamantaras, K., Duch, W., and Iliadis, L. S. (Ed.), Springer, Thessaloniki, Greece, pp. 52-61, 2010
  
• Weigenand, A., Ngo, H. V., Higgins, D., Martinetz, T., and Claussen, J. C.: Switching between Up and Down States in a conductance-based cortex model: Proceedings of the International Biosignal Processing Conference, Berlin, Germany, pp. 105:1-3, 2010
  

2009

• Böhme, M., Haker, M., Martinetz, T., and Barth, E.: Head Tracking With Combined Face And Nose Detection: Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), Iasi, Romania, pp. 1-4, 2009
  
• Böhme, M., Haker, M., Riemer, K., Martinetz, T., and Barth, E.: Face Detection Using a Time-of-Flight Camera: Dynamic 3D Imaging - Workshop in Conjunction with DAGM, vol. 5742, pp. 167-176, 2009, http://www.springerlink.com/content/023881623j67r336/
  
• Darolti, C., Barth, E., Bodensteiner, C., and Hofmann, U. G.: Active contours that grow and compete driven by local region descriptors: Human Vision and Electronic Imaging XIV, vol. 7245,72450F, Proceedings of SPIE, 2009
  
• Danielmeyer, H. G. and Martinetz, T.: An exact theory of the industrial evolution and national recovery: , no. SIIM-TR-A-09-05, version 11-09, 2009
  
• Dorr, M. and Barth, E.: Gaze guidance for improved visual communication: PerAda Magazine towards pervasive adaptation, 2009, http://www.perada-magazine.eu/view.php?source1793-2009-08-20
  
• Dorr, M., Gegenfurtner, K., and Barth, E.: The contribution of low-level features at the centre of gaze to saccade target selection: Vision Research, vol. 49, no. 24, pp. 2918-2926, 2009
  
• Dorr, M., Pomarjanschi, L., and Barth, E.: Gaze beats mouse: A case study on a gaze-controlled Breakout: PsychNology, vol. 7, no. 2, pp. 197-211, 2009
  
• Dorr, M., Rasche, C., and Barth, E.: A Gaze-Contingent, Acuity-Adjusted Mouse Cursor: 5th Conference on Communication by Gaze Interaction (COGAIN), Villanueva, A., Hansen, J. P., and Ersboll, B. K. (Ed.), pp. 39-41, 2009
  
• Haker, M., Böhme, M., Martinetz, T., and Barth, E.: Deictic Gestures With A Time-of-Flight Camera: Gesture in Embodied Communication and Human-Computer Interaction - International Gesture Workshop GW 2009, vol. 5934, Kopp, S. and Wachsmuth, I. (Ed.), Springer, pp. 110-121, 2009, http://www.springerlink.com/content/uw12051512tk5261/
  
• Haker, M., Böhme, M., Martinetz, T., and Barth, E.: Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera: Dynamic 3D Imaging - Workshop in Conjunction with DAGM, vol. 5742, pp. 142-153, 2009, http://www.springerlink.com/content/006305183070t383/
  
• Haker, M., Martinetz, T., and Barth, E.: Multimodal Sparse Features for Object Detection: Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, vol. 5769, Springer, pp. 923-932, 2009, http://www.springerlink.com/content/574230078m0228wh/
  
• Jarodzka, H., Scheiter, K., Gerjets, P., Gog, T. v., and Dorr, M.: How to convey perceptual skills by displaying experts` gaze data: Proceedings of the 31st Annual Conference of the Cognitive Science Society, Taatgen, N. A. and Rijn, H. v. (Ed.), Austin, TX: Cognitive Science Society, pp. 2920-2925, 2009
  
• Kolb, A., Barth, E., Koch, R., and Larsen, R.: Time-of-Flight Sensors in Computer Graphics: Eurographics State of the Art Reports, Pauly, M. and Greiner, G. (Ed.), pp. 119-134, 2009
  
• Kumar, K. K., Pugalenthi, G., and Suganthan, P.: Identification of DNA binding proteins from protein sequence information using random forest method: Journal of Biomolecular Structure and Dynamics, vol. 26, pp. 663-895, 2009
  
• Labusch, K., Barth, E., and Martinetz, T.: Sparse Coding Neural Gas: Learning of Overcomplete Data Representations: Neurocomputing, vol. 72, no. 7-9, pp. 1547-1555, 2009
  
• Labusch, K., Barth, E., and Martinetz, T.: Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas: Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009, vol. 5629, Principe, J. and Miikkulainen, R. (Ed.), Springer, series Lecture Notes in Computer Science, pp. 145-153, 2009
  
• Labusch, K., Barth, E., and Martinetz, T.: Demixing Jazz-Music: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources: Neural Network World, vol. 19, no. 5, Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague, pp. 561-579, 2009
  
• Martinetz, T., Labusch, K., and Schneegass, D.: SoftDoubleMaxMinOver: Perceptron-like Training of Support Vector Machines: IEEE Transactions on Neural Networks, vol. 20, no. 7, pp. 1061-1072, 2009
  
• Madany Mamlouk, A.: Computergestützte Analyse von biologischen Wahrnehmungsprozessen: GI-Edition - Lecture Notes in Informatics (LNI), pp. 171-180, 2009
  
• Repsilber, D., Martinetz, T., and Björklund, M.: Adaptive Dynamics of Regulatory Networks: Size Matters: EURASIP Journal on Bioinformatics and Systems Biology, vol. 2009, 2009, Article ID 618502, 10 pages, doi:10.1155/2009/618502
  
• Schuster, H. G., Le Van Quyen, M., Chavez, M., Köhler, J., Mayer, J., and Claussen, J. C.: Dynamical Behavior and Control of Coupled Threshold Elements with Self-Inhibition: International Journal of Bifurcation and Chaos, vol. 19, no. 9, pp. 3119-3128, 2009
  
• Timm, F., Klement, S., Martinetz, T., and Barth, E.: Welding Inspection Using Novel Specularity Features and A One-Class SVM: Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), vol. 1, INSTICC, Lisboa, Portugal, pp. 146-153, 2009
  
• Villanueva, A., Daunys, G., Hansen, D. W., Böhme, M., Cabeza, R., Meyer, A., and Barth, E.: A geometric approach to remote eye tracking: Universal Access in the Information Society, vol. 8, no. 4, pp. 241-257, 2009
  
• Vig, E., Dorr, M., and Barth, E.: Efficient visual coding and the predictability of eye movements on natural movies: Spatial Vision, vol. 22, no. 5, pp. 397-408, 2009
  
• Zhou, X., Krabbenhöft, H., Niinimäki, M., Depeuringe, A., Möller, S., and Müller, H.: An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC: Stud Health Technol Inform., vol. 147, pp. 41-50, 2009
  

2008

• Böhme, M., Dorr, M., Graw, M., Martinetz, T., and Barth, E.: A Software Framework for Simulating Eye Trackers: Proceedings of Eye Tracking Research & Applications (ETRA), pp. 251-258, 2008,, 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,
  
• Böhme, M., Dorr, M., Martinetz, T., and Barth, E.: A Temporal Multiresolution Pyramid for Gaze-Contingent Manipulation of Natural Video: Passive Eye Monitoring, Hammoud, R. I. (Ed.), Springer, pp. 225-243, 2008
  
• Böhme, M., Haker, M., Martinetz, T., and Barth, E.: Shading Constraint Improves Accuracy of Time-of-Flight Measurements: CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008
  
• Böhme, M., Haker, M., Martinetz, T., and Barth, E.: 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, vol. 5, no. 3, pp. 264-273, 2008
  
• Claussen, J. C.: Floquet stability analysis of Ott-Grebogi-Yorke and difference control: New Journal of Physics, vol. 10, , 2008
  
• Claussen, J. C.: Time evolution of the rule 150 cellular automaton activity from a Fibonacci iteration: Journal of Mathematical Physics, vol. 49, , 2008
  
• Claussen, J. C.: Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size: Banach Center Publications, vol. 80, pp. 17-31, 2008, (Invited Review)
  
• Claussen, J. C.: Time-evolution of the Rule 150 cellular automaton activity on two-dimensional and Bethe lattices: Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig, 2008
  
• Claussen, J. C.: Cyclic coevolutionary dynamics in finite populations: From discrete stochastic processes to replicator and Fokker-Planck equations: Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig, 2008
  
• Claussen, J. C. and Traulsen, A.: Cyclic dominance and biodiversity in well-mixed populations: Physical Review Letters, vol. 100, , 2008
  
• Dorr, M., Vig, E., Gegenfurtner, K. R., Martinetz, T., and Barth, E.: Eye movement modelling and gaze guidance: Fourth International Workshop on Human-Computer Conversation, 2008
  
• Garbe, C. S., Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., Barth, E., Mester, R., and Jähne, B.: Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns: Mathematical Methods in Time Series Analysis and Digital Image Processing, Dahlhaus, R., Kurths, J., Maass, P., and Timmer, J. (Ed.), Springer, pp. 231-288, 2008
  
• Pugalenthi, G., Kumar, K. K., Suganthan, P., and Gangal, R.: Identification of catalytic residues from protein structure using Support Vector Machine with sequence and structural features: Biochemical and Biophysical Research Communications, vol. 367, pp. 630-634, 2008
  
• Krabbenhöft, H. N., Möller, S., and Bayer, D.: Integrating ARC Grid Middleware with Taverna Workflows: Bioinformatics, vol. 24, no. 9, pp. 1221-1222, 2008
  
• Haker, M., Böhme, M., Martinetz, T., and Barth, E.: Scale-Invariant Range Features for Time-of-Flight Camera Applications: CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), pp. 1-6, 2008
  
• Kumar, K. K. and Shelokar, P. S.: An SVM method using evolutionary information for the identification of allergenic proteins: Bioinformation, vol. 2, pp. 253-256, 2008
  
• Klement, S., Madany Mamlouk, A., and Martinetz, T.: Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios: Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, vol. 5163, Kurková, V., Neruda, R., and Koutn`ik, J. (Ed.), Springer, pp. 41-50, 2008, http://www.springerlink.com/content/a852001534335865/
  
• Kolb, A., Barth, E., and Koch, R.: ToF Sensors: New Dimensions for Realism and Interactivity: CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008
  
• Labusch, K., Barth, E., and Martinetz, T.: Learning data representations with Sparse Coding Neural Gas: Proceedings of the 16th European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), D-Side Publishers, pp. 233-238, 2008
  
• Labusch, K., Barth, E., and Martinetz, T.: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources: Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, vol. 5163, Kurková, V., Neruda, R., and Koutn`ik, J. (Ed.), Springer, pp. 788-797, 2008
  
• Labusch, K., Barth, E., and Martinetz, T.: Simple Method for High-Performance Digit Recognition Based on Sparse Coding: IEEE Transactions on Neural Networks, vol. 19, no. 11, pp. 1985-1989, 2008
  
• Labusch, K., Timm, F., and Martinetz, T.: Simple Incremental One-Class Support Vector Classification: Pattern Recognition - Proceedings of the DAGM, Rigoll, G. (Ed.), pp. 21-30, 2008
  
• Linsel-Nitschke, P., Goetz, A., Erdmann, J., Braenne, I., Braund, P., Hengstenberg, C., Stark, K., Fischer, M., Schreiber, S., Mokhtari, N. E. E., Schaefer, A., Schrezenmeir, J., Schrezenmeier, J., Rubin, D., Hinney, A., Reinehr, T., Roth, C., Ortlepp, J., Hanrath, P., Hall, A. S., Mangino, M., Lieb, W., Lamina, C., Heid, I. M., Doering, A., Gieger, C., Peters, A., Meitinger, T., Wichmann, H., Koenig, I. R., Ziegler, A., Kronenberg, F., Samani, N. J., and Schunkert, H.: Lifelong reduction of LDL-cholesterol related to a common variant in the LDL-receptor gene decreases the risk of coronary artery disease-a Mendelian Randomisation study: PloS One, vol. 3, no. 8, , 2008, PMID: 18714375
  
• Ngo, H. V.: Analyse der Dynamik von Schlaf-Rhythmen: , 2008
  
• Riemer, K.: Gesichtsdetektion mit Time-of-Flight-Kameras: , 2008
  
• Röhl, T., Traulsen, A., Claussen, J. C., and Schuster, H. G.: Stochastic gain in finite populations: Physical Review E, vol. 78, , 2008
  

  @article{RoTrClSc08,
  author = {Torsten R{\"o}hl and Arne Traulsen and Jens Christian Claussen and Heinz Georg Schuster},
  title = {Stochastic gain in finite populations},
  journal = {Physical Review E},
  pages = {026108},
  volume = {78},
  year = {2008},
  abstract = {Flexible learning rates can lead to increased payoffs under the influence of noise. In a previous paper [Traulsen et al., Phys. Rev. Lett. 93, 028701 (2004)], we have demonstrated this effect based on a replicator dynamics model which is subject to external noise. Here, we utilize recent advances on finite population dynamics and their connection to the replicator equation to extend our findings and demonstrate the stochastic gain effect in finite population systems. Finite population dynamics is inherently stochastic, depending on the population size and the intensity of selection, which measures the balance between the deterministic and the stochastic parts of the dynamics. This internal noise can be exploited by a population using an appropriate microscopic update process, even if learning rates are constant.},
  url = {http://dx.doi.org/10.1103/PhysRevE.78.026108},
  }
  
  

• Schwarz, D. F., Hädicke, O., Erdmann, J., Ziegler, A., Bayer, D., and Möller, S.: SNPtoGO: characterizing SNPs by enriched GO terms: Bioinformatics, vol. 24, no. 1, pp. 146-148, 2008
  
• Schneegass, D., Udluft, S., and Martinetz, T.: Uncertainty Propagation for Quality Assurance in Reinforcement Learning: Proc. of the International Joint Conference on Neural Networks, pp. 2588-2595, 2008
  
• Timm, F., Klement, S., and Martinetz, T.: Fast Model Selection for MaxMinOver-based Training of Support Vector Machines: Proceedings of the 19th Int. Conference on Pattern Recognition (ICPR), IEEE Computer Society Press, Tampa, Florida, USA, 2008
  

2007

• Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H., Barrett, J. H., Koenig, I. R., Stevens, S. E., Szymczak, S., Tregouet, D., Iles, M. M., Pahlke, F., Pollard, H., Lieb, W., Cambien, F., Fischer, M., Ouwehand, W., Blankenberg, S., Balmforth, A. J., Baessler, A., Ball, S. G., Strom, T. M., Braenne, I., Gieger, C., Deloukas, P., Tobin, M. D., Ziegler, A., Thompson, J. R., and Schunkert, H.: Genomewide association analysis of coronary artery disease: The New England Journal of Medicine, vol. 357, no. 5, pp. 443-453, 08 2007, PMID: 17634449
  
• Bayer, D., Bhimdi, T., Oechsler, G., Orellana, F., Wäänänen, A., Kónya, B., and Möller, S.: Dynamic Runtime Environments for Grid Computing: Cracow`07 Grid Workshop, Cracow, Poland, pp. 155-162, 2007
  
• Claussen, J. C.: Offdiagonal complexity: A computationally quick complexity measure for graphs and networks: Physica A, vol. 375, pp. 365-373, 2007
  
• Claussen, J. C.: Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size: European Physical Journal B, vol. 60, pp. 391-399, 2007
  
• Claussen, J. C.: Poincare-based control of delayed measured systems: Limitations and Improved Control: Handbook of Chaos Control, VCH Wiley, pp. 109-128, 2007, (eds. Heinz Georg Schuster and Eckehard Schöll)
  
• Claussen, J. C.: Offdiagonal complexity: A computationally quick network complexity measure - Application to protein networks and cell division.: Mathematical Modeling of Biological Systems, Volume II., Birkhäuser, Boston, pp. 279-287, 2007, (eds. A. Deutsch and R. Bravo de la Parra and R. de Boer and O. Diekmann and P. Jagers and E. Kisdi and M. Kretzschmar and P. Lansky and H. Metz)
  
• Claussen, J. C. and Carstensen, J.: Underetching from simple reaction kinetics: Proceedings of the 3-rd International Conference Physics and Control (PhysCon 2007), Potsdam, 2007
  
• Dorr, M., Böhme, M., Martinetz, T., and Barth, E.: Gaze beats mouse: a case study: The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK, pp. 16-19, 2007
  
• Eddelbuettel, D., Vernazobres, D., Gebhardt, A., and Möller, S.: apt-get install cran bioc: On automated builds of 1700 R packages for Debian: useR conference, Ames, Iowa, 2007
  
• Haker, M., Böhme, M., Martinetz, T., and Barth, E.: Geometric Invariants for Facial Feature Tracking with 3D TOF Cameras: Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), vol. 1, Iasi, Romania, pp. 109-112, 2007
  
• : Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers: , vol. 3417, Jähne, B., Mester, R., Barth, E., and Scharr, H. (Ed.), Springer, 2007
  
• Labusch, K., Siewert, U., Martinetz, T., and Barth, E.: Learning optimal features for visual pattern recognition: Human Vision and Electronic Imaging XII, vol. 6492, Rogowitz, B. E., Pappas, T. N., and Daly, S. J. (Ed.), Proceedings of SPIE, 2007
  
• Mayer, J., Schuster, H. G., Claussen, J. C., and Mölle, M.: Corticothalamic projections control synchronization in locally coupled bistable thalamic oscillators: Physical Review Letters, vol. 99, , 2007
  
• Merelli, E., Armano, G., Cannata, N., Corradini, F., d`Inverno, M., Doms, A., Lord, P., Martin, A., Milanesi, L., Möller, S., Schroeder, M., and Luck, M.: Agents in bioinformatics, computational and systems biology.: Briefings in Bioinformatics, vol. 8, no. 1, pp. 45-59, 2007
  
• Möller, S., Bayer, D., Vernazobres, D., Gebhardt, A., and Eddelbuettel, D.: Scientific Grid Computing via Community-Controlled Autobuilding of Software Packages Across Architectures: NETTAB, Pisa, Italy, 2007
  
• Mundra, P., Kumar, M., Kumar, K. K., Jayaraman, V. K., and Kulkarni, B. D.: Using Pseudo Amino Acid Composition to Predict Protein Sub nuclear Localization: Approached with PSSM: Pattern Recognition Letters, vol. 28, no. 4, pp. 1610-1615, 2007,
  
• Gangal, R. and Kumar, K. K.: Reduced Alphabet Motif Methodology for GPCR annotation: Journal of Biomolecular Structure and Dynamics, vol. 25, pp. 299-310, 2007
  
• Schneegass, D., Schaefer, A. M., and Martinetz, T.: The Intrinsic Recurrent Support Vector Machine: Proc. of the European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), pp. 325-330, 2007
  
• Schneegass, D., Udluft, S., and Martinetz, T.: Explicit Kernel Rewards Regression for Data-Efficient Near-optimal Policy Identification: Proc. of the European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), pp. 337-342, 2007
  
• Schneegass, D., Udluft, S., and Martinetz, T.: Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification: Proc. of the International Conference on Artificial Neural Networks, pp. 109-118, 2007
  
• Schneegass, D., Udluft, S., and Martinetz, T.: Neural Rewards Regression for Near-Optimal Policy Identification in Markovian and Partial Environments: Proc. of the European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), pp. 301-306, 2007
  

2006

• Aach, T., Mota, C., Stuke, I., Mühlich, M., and Barth, E.: Analysis of Superimposed Oriented Patterns: IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3690-3700, 2006
  
• Barth, E., Dorr, M., Böhme, M., Gegenfurtner, K. R., and Martinetz, T.: Guiding the mind`s eye: improving communication and vision by external control of the scanpath: Human Vision and Electronic Imaging, vol. 6057, Rogowitz, B. E., Pappas, T. N., and Daly, S. J. (Ed.), 2006, Invited contribution for a special session on Eye Movements, Visual Search, and Attention: a Tribute to Larry Stark.
  
• Barth, E., Dorr, M., Böhme, M., Gegenfurtner, K. R., and Martinetz, T.: Guiding Eye Movements for Better Communication and Augmented Vision: Perception and Interactive Technologies, vol. 4021, Springer, pp. 1-8, 2006
  
• Böhme, M., Dorr, M., Krause, C., Martinetz, T., and Barth, E.: Eye Movement Predictions on Natural Videos: Neurocomputing, vol. 69, no. 16-18, pp. 1996-2004, 2006,
  
• Böhme, M., Dorr, M., Martinetz, T., and Barth, E.: Gaze-Contingent Temporal Filtering of Video: Proceedings of Eye Tracking Research & Applications (ETRA), pp. 109-115, 2006,, 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, Californ
  
• Böhme, M., Meyer, A., Martinetz, T., and Barth, E.: Remote Eye Tracking: State of the Art and Directions for Future Development: The 2nd Conference on Communication by Gaze Interaction - COGAIN 2006, Turin, Italy, pp. 10-15, 2006
  
• Claussen, J. C.: Processing of Information in Synchroneously Firing Chains in Networks of Neurons: ICANN 2006, vol. 4131, Springer, pp. 710-717, 2006
  
• Claussen, J. C. and Traulsen, A.: Fluctuations in Coevolutionary Dynamics and Implications for Multi-Agent Models: Proceedings of: Potentials of Complexity Science for Business, Government and the Media, Collegium Budapest, Helbing, D. (Ed.), pp. 411-419, 2006
  
• Dorr, M., Böhme, M., Martinetz, T., and Barth, E.: Gaze-Contingent Spatio-Temporal Filtering in a Head-Mounted Display: Perception and Interactive Technologies, vol. 4021, Springer, pp. 205-207, 2006
  
• Goertsches, R., Serrano-Fernández, P., Möller, S., Koczan, D., and Zettl, U. K.: Multiple Sclerosis Therapy Monitoring Based on Gene Expression: Curr. Pharm. Des., vol. 12, no. 29, pp. 3761-3779, 2006
  
• Haker, M.: Locally Linear Manifold Classifier: , 2006
  
• Klement, S.: Incremental Support Vector Regression for Steering Hot Rolling Mills: , 2006
  
• Martinetz, T., Madany Mamlouk, A., and Mota, C.: Fast and Easy Computation of Approximate Smallest Enclosing Balls: Proc. SIBGRAPI, pp. 163-170, 2006
  
• Mayer, J., Schuster, H. G., and Claussen, J. C.: The role of inhibitory feedback for information processing in thalamocortical circuits: Physical Review E, vol. 73, , 2006
  
• Meyer, A., Böhme, M., Martinetz, T., and Barth, E.: A Single-Camera Remote Eye Tracker: Perception and Interactive Technologies, vol. 4021, Springer, pp. 208-211, 2006
  
• Molle, F. and Claussen, J. C.: Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant: ICANN 2006, vol. 4131, Springer, pp. 208-215, 2006
  
• Mota, C., Stuke, I., and Barth, E.: The Intrinsic Dimension of Multispectral Images: MICCAI Workshop on Biophotonics Imaging for Diagnostics and Treatment, pp. 93-100, 2006
  
• Möller, S., Zettl, U. K., Goertsches, R., and Serrano-Fernández, P.: Comparative Genomics for the Investigation of Autoimmune Diseases: Curr. Pharm. Des., vol. 12, no. 29, pp. 3707-3722, 2006
  
• Öckinger, J., Serrano-Fernández, P., Möller, S., Ibrahim, S. M., Olsson, T., and Jagodic, M.: Definition of a 1.06 Mb region linked to neuroinflammation in humans, rats and mice: Genetics, vol. 173, no. 3, pp. 1539-1545, 2006
  
• Polani, D., Nehaniv, C., Martinetz, T., and Kim, J. T.: Relevant Information in Optimized Persistence vs. Progeny Strategies: Proc. Artificial Life X, M.Rocha, L., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A., and Yaeger, L. (Ed.), 2006
  
• Schneegass, D., Labusch, K., and Martinetz, T.: MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation: Artificial Neural Networks - ICANN 2006, Springer, Berlin, Heidelberg, pp. 150-158, 2006
  
• Schneegass, D., Martinetz, T., and Clausohm, M.: OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.: Proceedings of the 14th European Symposium on Artificial Neural Networks, Verleysen, M. (Ed.), pp. 575-580, 2006
  
• Schneegass, D., Udluft, S., and Martinetz, T.: Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach.: Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Devedzic, V. (Ed.), pp. 428-433, 2006
  
• Stuke, I., Barth, E., and Mota, C.: Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals: IEEE XIX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI`06), pp. 341-348, 2006
  
• Timm, F.: Methoden zur optischen Qualitätskontrolle. Anwendung in der Produktion von Xenon-Lampen: , 2006, Full version: Please contact the author via email
  
• Traulsen, A., Claussen, J. C., and Hauert, C.: Coevolutionary dynamics in large, but finite populations: Physical Review E, vol. 74, , 2006
  
• Villmann, T. and Claussen, J. C.: Investigation of Magnification Control in Self-Organizing Maps and Neural Gas: Neural Computation, vol. 18, pp. 446-469, 2006
  
• Yu, X., Wernhoff, K. B. P., Koczan, D., Möller, S., Thiesen, H., and Ibrahim, S.: Fine mapping of collagen-induced arthritis quantitative trait loci in an advanced intercross line: J. Immunol., vol. 177, no. 10, pp. 7042-7049, 2006
  

2005

• Aidinis, V., Carninci, P., Armaka, M., Witke, W., Harokopos, V., Pavelka, N., Koczan, D., Argyropoulos, C., Thwin, M., Möller, S., Kazunori, W., Gopalakrishnakone, P., Ricciardi-Castagnoli, P., Thiesen, H., Hayashizaki, Y., and Kollias, G.: Cytoskeletal rearrangements in synovial fibroblasts as a novel pathophysiological determinant of modeled rheumatoid arthritis.: PLoS Genet., vol. 1, no. 4, , 2005
  
• Bartocci, E., Merelli, E., and Möller, S.: Integration of EnsEMBL with BioAgent.: Technical Report, no. TR02-2005, 2005
  
• Barth, E.: Die intrinsische Dimension in der visuellen Informationsverarbeitung: , 2005, Habilitationsschrift an der Universität zu Lübeck
  
• Böhme, M. and Barth, E.: Challenges in Single-Camera Remote Eye-Tracking: 1st Conference on Communication by Gaze Interaction (COGAIN), Copenhagen, Denmark, 2005
  
• Brinkschulte, U., Becker, J., Fey, D., Hochberger, C., Martinetz, T., Müller-Schloer, C., Schmeck, H., Ungerer, T., and Würtz, R.: ARCS 2005 - System Aspects in Organic and Pervasive Computing - Workshops Procedeedings, Innsbruck Austria, March 14-17: , Berlin, Offenbach, 2005
  
• Claussen, J. C.: Generalized Winner-Relaxing Kohonen Feature Maps: Neural Computation, vol. 17, pp. 996-1009, 2005
  
• Claussen, J. C.: Influence of the impulse length in Poincare-based chaos control: Proceedings of ENOC 2005, Eindhoven, pp. 1100-1107, 2005
  
• Claussen, J. C.: Delayed measured systems in Poincare-based chaos control: Proceedings of ENOC 2005, Eindhoven, pp. 1236-1245, 2005
  
• Claussen, J. C. and Villmann, T.: Magnification control in winner relaxing neural gas: Neurocomputing, vol. 63, pp. 125-137, 2005
  
• Cudalbu, C., Anastasiu, B., Grecu, H., and Barth, E.: Fully automatic, realtime head-pose estimation using stereo vision: International Conference On Control Systems and Computer Science, vol. 2, pp. 920-925, 2005
  
• Cudalbu, C., Anastasiu, B., Radu, R., Cruceanu, R., Schmidt, E., and Barth, E.: Driver Monitoring with a Single High-Speed Camera and IR Illumination: ISSCS 2005 International Symposium on Signals, Circuits and Systems, Proceedings, vol. 1, pp. 219-222, 2005
  
• Dorr, M., Böhme, M., Martinetz, T., and Barth, E.: Visibility of temporal blur on a gaze-contingent display: APGV 2005 ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, pp. 33-36, 2005
  
• Dorr, M., Böhme, M., Martinetz, T., and Barth, E.: Predicting, analysing, and guiding eye movements: Neural Information Processing Systems Conference (NIPS 2005), Workshop on Machine Learning for Implicit Feedback and User Modeling, 2005
  
• Gierer, P., Ibrahim, S. M., Mittlmeier, T., Koczan, D., Möller, S., Landes, J., Gradl, G., and Vollmar, B.: Gene expression profile and synovial microcirculation at early stages of collagen-induced arthritis: Arthritis Research and Therapy, no. 7, pp. R868-R876, 2005
  
• Govindan, R., Raethjen, J., Kopper, F., Claussen, J. C., and Deuschl, G.: Estimation of time delay by coherence analysis: Physica A, vol. 350, pp. 277-295, 2005
  
• Johannesson, M., Olsson, L. M., Lindqvist, A. K., Möller, S., Koczan, D., Wester-Rosenlof, L., Ibrahim, H. J. T. S., and Holmdahl, R.: Gene expression profiling of arthritis using a QTL chip reveals a complex gene regulation of the Cia5 region in mice: Genes Immun., vol. 6, pp. 575-583, 2005
  
• Lukowicz, P., Barth, E., and Kim, J. T.: Organic Architectures for Large-Scale Environment-Aware Sensor Networks: Proceedings of the Workshop on Self-Organization and Emergence 2005, pp. 131-139, 2005
  
• Martinetz, T., Labusch, K., and Schneegass, D.: SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.: Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II, Duch, W., Kacprzyk, J., Oja, E., and Zadrozny, S. (Ed.), pp. 301-306, 2005
  
• Madany Mamlouk, A., Sharp, H., Menne, K. M. L., Hofmann, U. G., and Martinetz, T.: Unsupervised Spike Sorting with ICA and its Evaluation using GENESIS Simulations: Neurocomputing, vol. 65-66, pp. 275-282, 2005
  
• Meyer-Baese, A., Jancke, K., Wismueller, A., Foo, S., and Martinetz, T.: Medical image compression using topology-preserving neural networks: Engineering Applications of Artificial Intelligence, vol. 18, no. 4, pp. 383-392, 2005
  
• Möller, S., Serrano-Fernández, P., Watson, M., Koczan, D., Kotsikoris, V., Kunz, M., Blüggel, M., Pahnke, J., Illges, H., Mikkat, S., Thiesen, H., Glocker, M. O., Zettl, U. K., and Ibrahim, S. M.: Collection of soluble variants of membrane proteins for transcriptomics and proteomics.: In Silico Biol., vol. 5, no. 3, pp. 295-311, 2005
  
• Mota, C., Stuke, I., Aach, T., and Barth, E.: Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions: Complex Motion. Proceedings of the 1st International Workshop on Complex Motion, Schloss Reisensburg, Germany, Oct. 2004 . Lecture Notes on Computer Science, LNCS, vol. 3417, Jähne, B., Mester, R., Barth, E., and Scharr, H. (Ed.), Springer, Berlin, pp. 66-78, 2005
  
• Mota, C., Stuke, I., Aach, T., and Barth, E.: Spatial and spectral analysis of occluded motions: Signal Processing: Image Communication. Elsevier Science, vol. 20-6, pp. 529-536, 2005
  
• Nagler, J. and Claussen, J. C.: 1?f alpha spectra in elementary cellular automata and fractal signals: Physical Review E, vol. 71, , 2005
  
• Scharr, H., Stuke, I., Mota, C., and Barth, E.: Estimation of Transparent Motions with Physical Models for Additional Brightness Variation: European Signal Pocessing Conference 2005, , 2005
  
• Serrano-Fernández, P., Ibrahim, S. M., Koczan, D., Zettl, U. K., and Möller, S.: In silico fine-mapping: narrowing disease-associated loci by intergenomics: Bioinformatics, vol. 21, no. 8, pp. 1737-1738, 2005
  
• Tille, A. and Möller, S.: Debian-Med Free Software in Health Care: MAS*BIOMED Workshop, AAMAS, Utrecht, NL, Admano, G., Denzinger, J., Martin, A., Merelli, E., Miles, S., Tianfield, H., and Unland, R. (Ed.), pp. 72-85, 2005
  
• Traulsen, A., Claussen, J. C., and Hauert, C.: Coevolutionary Dynamics: From Finite to Infinite Populations: Physical Review Letters, vol. 95, , 2005
  

2004

• Aach, T., Barth, E., and Mayntz, C.: Motion-compensated defect interpolation for flat-panel detectors: SPIE Medical Imaging 2004: Image Processing, vol. 5370, pp. 1352-1363, 2004
  
• Aach, T., I, S., Mota, C., and Barth, E.: Estimation of Multiple Local Orientations in Image Signals: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2004, vol. 3, Montreal, Canada, pp. 553-556, 2004, May 17-21
  
• Binder, T., Vox, A., Belyazid, S., Haraldsson, H., and Svensson, M.: Developing System Dynamics Models from Causal Loop Diagrams: Proceedings of the 22nd International Conference of the System Dynamics Society, Oxford, 2004, , 2004
  
• Böhme, M., Krause, C., Barth, E., and Martinetz, T.: Eye Movement Predictions Enhanced by Saccade Detection: Brain Inspired Cognitive Systems, , 2004
  
• Böhme, M., Krause, C., Martinetz, T., and Barth, E.: Saliency Extraction for Gaze-Contingent Displays: Proceedings of the 34th GI-Jahrestagung, vol. 2, pp. 646-650, 2004, Workshop on Organic Computing
  
• Claussen, J. C.: Stability borders of feedback control of delayed measured systems: Physical Review E, vol. 70, , 2004
  
• Claussen, J. C., Nagler, J., and Schuster, H. G.: Sierpinski signal generates 1?f alpha spectra: Physical Review E, vol. 70, , 2004
  
• Claussen, J. C. and Schuster, H. G.: Improved control of delayed measured systems: Physical Review E, vol. 70, , 2004
  
• Claussen, J. C. and Traulsen, A.: Nongaussian fluctuations arising from finite populations: Exact results for the evolutionary Moran process: Physical Review E, vol. 70, , 2004
  
• Dorr, M., Martinetz, T., Gegenfurtner, K., and Barth, E.: Guidance of Eye Movements on a Gaze-Contingent Display: Dynamic Perception Workshop of the GI Section ``Computer Vision``, Ilg, U. J., Bülthoff, H. H., and Mallot, H. A. (Ed.), pp. 89-94, 2004
  
• Dorr, M.: Effects of Gaze-Contingent Stimuli on Eye Movements: , 2004
  
• Haker, M., Mota, C., and Barth, E.: Multiple Motions in the Projective Plane: 7th Tübingen Perception Conference, Knirsch Verlag, Kirchentellinsfurt, , 2004
  
• Kim, J. T., Gewehr, J., and Martinetz, T.: Binding Matrix: A Novel Approach for Binding Site Recognition: Journal of Bioinformatics and Computational Biology, vol. 2, pp. 289-307, 2004
  
• Kim, J. T., Martinetz, T., and Polani, D.: On the Evolution of Information in the Constituents of Regulatory Gene: Function and Regulation of Cellular Systems. Experiments and Models, Deutsch, A., Howard, J., Falcke, M., and Zimmermann, W. (Ed.), Basel, pp. 259-264, 2004
  
• Labusch, K.: MaxMinOver: Ein neues iteratives Verfahren zur Supportvektor-Klassifikation mit Anwendungen in der Gesichtserkennung: , 2004
  
• Madany Mamlouk, A. and Martinetz, T.: On the Dimensions of the Olfactory Perception Space: Neurocomputing, vol. 58-60, pp. 1019-1025, 2004
  
• Martinetz, T. and Madany Mamlouk, A.: Easy and Fast Computation of Approximate Smallest Enclosing Balls: , no. SIIM-TR-A-04-13, 2004
  
• Martinetz, T.: MinOver Revisited for Incremental Support-Vector-Classification: DAGM 2004, vol. 3175, Rasmussen, C., Buelthoff, H., Giese, M., and Schoelkopf, B. (Ed.), Springer-Verlag Berlin Heidelberg, pp. 187-194, 2004
  
• Martinetz, T.: MaxMinOver: A Simple Incremental Learning Procedure for Support Vector Classification: IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), Budapest, Hungary, pp. 2065-2070, 2004
  
• Mota, C., Aach, T., Stuke, I., and Barth, E.: Estimation of multiple orientations in multi-dimensional signals: IEEE International Conference on Image Processing, pp. 2665-2668, 2004
  
• Mota, C., Dorr, M., Stuke, I., and Barth, E.: Categorization of Transparent-Motion Patterns Using the Projective Plane: International Journal of Computer and Information Science, vol. 5, no. 2, pp. 129-140, 2004
  
• Mota, C., Dorr, M., Stuke, I., and Barth, E.: Analysis and synthesis of motion patterns using the projective plane: Human Vision and Electronic Imaging Conference IX, vol. 5292, Rogowitz, B. E. and Pappas, T. N. (Ed.), pp. 174-181, 2004
  
• Mota, C., Stuke, I., Aach, T., and Barth, E.: Estimation of multiple orientations at corners and junctions: 26th Pattern Recognition Symposium (DAGM`04), Tübingen, pp. 163-170, 2004
  
• Schmitt, O., Pakura, M., Aach, T., Hömke, L., Böhme, M., and Preusse, S.: Analysis of Nerve Fibers and their Distribution in Histologic Sections of the Human Brain: Microscopy Research and Technique, vol. 63, pp. 220-243, 2004
  
• Stuke, I., Aach, T., Barth, E., and Mota, C.: Analysing Superimposed Oriented Patterns: 6th IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, NV, March 28-30, 2004, pp. 133-137, 2004
  
• Stuke, I., Aach, T., Barth, E., and Mota, C.: Estimation of multiple motions using block-matching and Markov random fields: Visual Communications and Image Processing 2004, IS&T/SPIE 16th Annual Symposium Electronic Imaging, Proceedings of SPIE, vol. 5308, Panchanathan, S. and Vasudev, B. (Ed.), San Jose, California, pp. 486-496, 2004
  
• Stuke, I., Aach, T., Barth, E., and Mota, C.: Multiple-Motion-Estimation by Block-matching using MRF: International Journal of Computer & Information Science, vol. 5, no. 1, pp. 141-152, 2004
  
• Traulsen, A. and Claussen, J. C.: Similarity-based cooperation and spatial segregation: Physical Review E, vol. 70, , 2004
  

2003

• Mota, C., Dorr, M., Stuke, I., and Barth, E.: Categorization of Transparent-Motion Patterns Using the Projective Plane: Proceedings of the ACIS Fourth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD`03), Dosch, W. and Lee, R. Y. (Ed.), International Association for Computer and Information Science, pp. 363-369, 10 2003, ISBN 0-9700776-7-x
  
• Barth, E., Stuke, I., Aach, T., and Mota, C.: Spatio-temporal motion estimation for transparency and occlusion: Proc. IEEE Int. Conf. Image Processing, vol. 3, IEEE Signal Processing Soc., Barcelona, Spain, pp. 69-72, 09 2003
  
• Stuke, I., Aach, T., Mota, C., and Barth, E.: Linear and regularized solutions for multiple motions: Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. III, Vasudev, B., Hsing, T. R., Tescher, A. G., and Ebrahimi, T. (Ed.), IEEE Signal Processing Soc., Hong Kong, pp. 157-160, 04 2003, Conference was canceled due to SARS
  
• Barth, E., Drewes, J., and Martinetz, T.: Individual predictions of eye-movements with dynamic scenes: Electronic Imaging 2003, vol. 5007, Rogowitz, B. E. and Pappas, T. N. (Ed.), pp. 252-259, 2003
  
• Barth, E., Drewes, J., and Martinetz, T.: Dynamic predictions of tracked gaze: Seventh International Symposium on Signal Processing and its Applications, Paris, 2003, Special Session on Foveated Vision in Image and Video Processing
  
• Böhme, M. and Manthey, B.: The Computational Power of Compiling C++: Bulletin of the European Association for Theoretical Computer Science, vol. 81, pp. 264-270, 2003
  
• Böhme, M. and Potts, D.: A Fast Algorithm for Filtering and Wavelet Decomposition on the Sphere: Electronic Transactions on Numerical Analysis, vol. 16, pp. 70-93, 2003
  
• Böhme, M. and Daniel Potts, t. . A. F. A. f. S. F. o. A. G.: : Proceedings of SPIE: Wavelets Applications in Signal and Image Processing X, vol. 5207, pp. 445-454, 2003
  
• Claussen, J. C.: Winner-relaxing and winner-enhancing Kohonen maps: Maximal mutual information from enhancing the winner: Complexity, vol. 8, no. 4, pp. 15-22, 2003
  
• Claussen, J. C., Carstensen, J., Christophersen, M., Langa, S., and Föll, H.: Self-Organized Formation of Fractal and Regular Pores in Semiconductors: Lecture Notes in Computational Science and Engineering, vol. 32, Springer, pp. 00-01, 2003, (eds. H. Emmerich, B. Nestler, M. Schreckenberg)
  
• Claussen, J. C.: Magnification behaviour of Winner Relaxing and Winner-Enhancing Kohonen Feature Maps: Mathematical Modelling and Computing in Biology and Medicine, (V.Capasso Ed.), The MIRIAM Project Series, Progetto Leonardo, ESCULAPIO Pub. Co., Bologna, Italy, pp. 17-22, 2003
  
• Claussen, J. C.: Control of delayed measured systems and impulse length limitations in difference control: Proceedings PHSYCON03 vol. 4 (ed. Alexander L. Fradkov) St. Petersburg, pp. 1296-1302, 2003
  
• Claussen, J. C., Carstensen, J., Christophersen, M., Langa, S., and Föll, H.: Self-organized pore formation and open-loop control in semiconductor etching: Chaos, vol. 13, pp. 217-224, 2003
  
• Claussen, J. C., Carstensen, J., Christophersen, M., Langa, S., and Föll, H.: Open-Loop Control of Pore Formation in Semiconductor Etching: Proceedings PHSYCON03 vol. 3 (ed. Alexander L. Fradkov) St. Petersburg, pp. 895-900, 2003
  
• Claussen, J. C., Schlüter, M., and Krabbenhöft, U.: Dust Recognition by Two-Scale Variance Analysis and Graded Information Fusion: Proceedings IFSA 2003, Istanbul, pp. 261-264, 2003
  
• Claussen, J. C. and Villmann, T.: Magnification Control in Winner Relaxing Neural Gas: Proceedings ESANN 2003 (ed. M. Verleysen), Brugge, d-side publications, pp. 93-98, 2003
  
• Claussen, J. C. and Villmann, T.: Magnification Control in Neural Gas by Winner Relaxing Learning: Independence of a diagonal term.: Proceedings ICANN 2003, Istanbul, pp. 58-61, 2003
  
• Kim, J. T., Martinetz, T., and Polani, D.: Bioinformatic Principles Underlying the Information Content of Transcription Factor Binding Sites: Journal of Theoretical Biology, vol. 220, pp. 529-544, 2003
  
• Jan T. Kim, t. . F. C. o. M. R. A. and Functions, i. A. t. O. o. D. O.: : , Dosch, W., Roger Y. Lee, b. . P. o. t. A. F. I. C. o. S. E. A. I. N., and (SNPD`03), P. C. (Ed.), Schmidt Römhild, Lübeck, pp. 68-74, 2003
  
• Madany Mamlouk, A., Chee-Ruiter, C., Hofmann, U. G., and Bower, J. M.: Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps: Neurocomputing, vol. 52-54, pp. 591-597, 2003
  
• Martinetz, T., Gewehr, J., and Kim, J. T.: Statistical Learning for Detecting Protein-DNA-Binding Sites: Proceedings of the International Joint Conference on Neural Networks 2003, II, D. C. W., Hasselmo, M., and Venayagamoorthy, K. (Ed.), IEEE Press, pp. 2940-2945, 2003
  
• Madany Mamlouk, A., Kim, J. T., Barth, E., Brauckmann, M., and Martinetz, T.: One-Class Classification with Subgaussians: Pattern Recognition (DAGM 2003), vol. 2781, Michaelis, B. and Krell, G. (Ed.), Springer-Verlag Berlin Heidelberg, pp. 346-353, 2003
  
• Meyer-Bäse, A., Otto, T., Martinetz, T., Auer, D., and Wismüller, A.: Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), vol. D-Side Publishers 4, pp. 509-514, 2003
  
• Stuke, I., Aach, T., Barth, E., and Mota, C.: Estimation of Multiple Motions by Block Matching: Proceedings of the ACIS 4th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD`03), Lübeck, Germany, October 16-18, 2003, Dosch, W. and Lee, R. Y. (Ed.), pp. 358-362, 2003
  
• Stuke, I., Aach, T., Mota, C., and Barth, E.: Estimation of multiple motions: regularization and performance evaluation: Image and Video Communications and Processing 2003, Proceedings of SPIE, vol. 5022, Vasudev, B., Hsing, T. R., Tescher, A. G., and Ebrahimi, T. (Ed.), pp. 75-86, 2003
  
• Villmann, T. and Claussen, J. C.: Investigation of Magnification Control in Self-Organizing Maps and Neural Gas: Proceedings WSOM 2003 (ed. Yamakawa), pp. 59-64, 2003
  

2002

• Barth, E., Stuke, I., and Mota, C.: Analysis of motion and curvature in image sequences: Proc. IEEE Southwest Symp. Image Analysis and Interpretation, IEEE Computer Press, Santa Fe, NM, pp. 206-210, 04 2002
  
• Barth, E. and Martinetz, T.: Information technology for active perception: 8th Annual German-American Beckman Frontiers of Science Symposium, 2002, Poster in PDF
  
• Böhme, M.: A Fast Algorithm for Filtering and Wavelet Decomposition on the Sphere: , 2002
  
• Claussen, J. C. and Schuster, H. G.: Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map: ICANN 2002, vol. 2415, Springer, pp. 939-944, 2002
  
• Labusch, K. and Polani, D.: Sensor Evolution in a Homeokinetic System: Proceedings of the Fifth German Workshop on Artificial Life, Polani, D., Kim, J. T., and Martinetz, T. (Ed.), Akademische Verlagsgesellschaft Aka, Berlin, pp. 199-208, 2002
  
• Madany Mamlouk, A.: Quantifying Olfactory Perception: , 2002
  
• Münster, T., Deleu, W., Wingen, L. U., Ouzunova, M., Cacharrón, J., Faigl, W., Werth, S., Kim, J. T., Saedler, H., and Theissen, G.: Maize MADS-Box Genes Galore: Maydica, vol. 47, pp. 287-301, 2002
  
• Polani, D., Kim, J. T., and Martinetz, T.: Abstracting and Synthesizing the Principles of Living Systems. Proceedings of the Fifth German Workshop on Artificial Life: , infix / Akademische Verlagsgesellschaft Aka, Berlin, 2002
  
• Repsilber, D., Kim, J. T., Liljenström, H., and Martinetz, T.: Using Coarse-Grained, Discrete Systems for Data-Driven Inference of Regulatory Gene Networks: Perspectives and Limitations for Reverse Engineering: Proceedings of the Fifth German Workshop on Artificial Life, Polani, D., Kim, J. T., and Martinetz, T. (Ed.), infix / Akademische Verlagsgesellschaft Aka, Berlin, pp. 67-76, 2002
  
• Schmitt, O. and Böhme, M.: A Robust Transcortical Profile Scanner for Generating 2-D Traverses in Histological Sections of Richly Curved Cortical Courses: NeuroImage, vol. 16, pp. 1103-1119, 2002
  

2001

• Mota, C., Stuke, I., and Barth, E.: Analytic solutions for multiple motions: Proc. IEEE Int. Conf. Image Processing, vol. II, IEEE Signal Processing Soc., Thessaloniki, Greece, pp. 917-920, 10 2001
  
• Barth, E., Ferraro, M., and Zetsche, C.: Global topological properties of images derived from local curvature features: Visual Form 2001. Lecture Notes in Computer Science, Arcelli, C., Cordella, L. P., and Baja, G. S. d. (Ed.), pp. 285-294, 2001
  
• Barth, E.: Information technology for active perception: Itap: First GRP-Symposium, Sehen und Aufmerksamkeit im Alter, Benediktbeuren, December 2001, 2001
  
• Bruns, G., Polani, D., and T. Uthmann, t. . E. V. K. W. a. T. f. K.: : Künstliche Intelligenz, vol. 60-62, 2001
  
• Dautenhahn, K., Polani, D., and Uthmann, T.: Artificial Life Journal - Special Issue on Sensor Evolution: , MIT Press, 2001
  
• Dautenhahn, K., Polani, D., and Uthmann, T.: Guest Editor`s Introduction: Special Issue on Sensor Evolution: Artificial Life Journal - Special Issue on Sensor Evolution, Dautenhahn, K., Polani, D., and Uthmann, T. (Ed.), MIT Press, pp. 95-98, 2001
  
• Dorr, M., Stuke, I., Mota, C., and Barth, E.: Mathematical and perceptual analysis of multiple motions: TWK 2001 Beiträge zur 4. Tübinger Wahrnehmungskonferenz, Bülthoff, H. H., Gegenfurtner, K. R., Mallot, H. A., and Ulrich, R. (Ed.), , 2001
  
• Flentge, F., Polani, D., and Uthmann, T.: Modelling the Emergence of Possession Norms using Memes: Journal of Artificial Societies and Social Simulations, vol. 4, no. 4, 2001
  
• Haker, M., Meyer, A., Polani, D., and Martinetz, T.: A Method for Incorporation of New Evidence to Improve World State Estimation: Proceedings of the RoboCup 2001 Symposium, Seattle, pp. 356-361, 2001
  
• Kim, J. T., Martinetz, T., and Polani, D.: On the Effects of Transcription Factor Properties on the Information Content of Binding Sites: Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Maschroder Weg 1, 38124 Braunschweig, Germany, Wingender, E., Hofestädt, R., and Liebich, I. (Ed.), pp. 192-194, 2001
  
• Kim, J. T., Schwöbbermeyer, H., Theissen, G., and Saedler, H.: Biodiversitätsmessung bei Pflanzen anhand molekularer Daten: Biodiversität. Wissenschaftliche Grundlagen und gesellschaftliche Relevanz. Band 10 der Reihe Wissenschaftsethik und Technologiefolgenbeurteilung, Janich, P., Gutmann, M., and Priess, K. (Ed.), Springer Verlag, Berlin, Heidelberg, pp. 181-234, 2001
  
• Kim, J. T.: Modelling the Organization of Flower Morphogenesis by Transcription Factor Networks Using Lindenmayer Systems: Proceedings of the German Conference on Bioinformatics 2001, Wingender, E., Hofestädt, R., and Liebich, I. (Ed.), pp. 190-191, 2001
  
• Kim, J. T.: Fitness Costs of Mutation Rate Adaption: A Factor in Coevolution and its Effects in Dynamic Fitness Landscapes: GECCO 2001 - Genetic and Evolutionary Computation Conference: Workshop Program, 8-13, San Francisco, CA, July 2001, Heckendorn, R. (Ed.), 2001
  
• : Study of the Simulated Evolution of the Spectral Sensivity of Visual Agent Receptors: Artificial Life (Special Issue on Sensor Evolution), vol. 7, no. 2, pp. 99-124, 2001
  
• Martinetz, T.: Bioinformatik - Informationsverarbeitung in der Biologie: Focus MUL, vol. 18, no. 2, pp. 74-81, 2001
  
• Polani, D. and Martinetz, T.: Team Description for Lucky Lübeck - Evidence Based Position Estimation: RoboCup-2000. Robot Soccer World Cup IV, LNCS, Stone, P., Balch, T., and Kraetzschmar, G. (Ed.), Springer, pp. 481-484, 2001
  
• Polani, D., Martinetz, T., and Kim, J. T.: An Information-Theoretic Approach for the Quantification of Relevance: Advances in Artificial Life (Proc. 6th European Conference on Artificial Life), Kelemen, J. and Sosik, P. (Ed.), Springer-Verlag, 2001
  
• Polani, D., Martinetz, T., and Kim, J. T.: On the Quantification of Relevant Information: , 2001, Presented at SCAI`01 (Scandinavian Conference on Artificial Intelligence), Feb. 19-21, 2001
  
• Polani, D.: Measures for the Organization of Self-Organizing Maps: Self-Organizing Neural Networks. Recent Advances and Applications, Jain, L. and Seiffert, U. (Ed.), Springer, 2001
  
• Rentschler, I. and Barth, E.: Bilder im Kopf oder vom Ursprung des Schönen: Welten im Kopf. Texte zum Imaginativen Lernen, Rentschler, I., Madelung, E., and Fauser, P. (Ed.), Kallwey Verlag, Hamburg, 2001
  
• Ronnewinkel, C. and Martinetz, T.: Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems: GECCO 2001 - Workshop Proceedings, Morgan Kaufmann, San Francisco, 2001
  
• Ronnewinkel, C., Wilke, C., and Martinetz, T.: Genetic algorithms in time-dependent environments: L. Kallel, B. Naudts, and A. Rogers, editors, Theoretical Aspects of Evolutionary Computing, Natural Computing, Springer, pp. 261-285, 2001
  
• Silva, R., Gomes, J., and Mota, C.: Geometric processing of volumetric graphical objects: Proceedings of WSCG 2001, pp. 307-314, 2001
  
• Stoerig, P. and Barth, E.: Low-level phenomenal vision despite unilateral destruction of primary visual cortex: Consciousness and Cognition, vol. 10, pp. 574-587, 2001
  
• Stoerig, P. and Barth, E.: A Note on (K)Nots: Response to Robert W. Kentridge`s Commentary: Consciousness and Cognition, vol. 10, pp. 591-593, 2001
  
• Wingen, L. U., Kim, J. T., Saedler, H., and Dekker, K.: ZIGIA-DB: A versatile Database for Handling Complex Functional Genomic Data of Arabidopsis thaliana: Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Mascheroder Weg 1, 38124 Braunschweig, Germany, Wingender, E., Hofestädt, R., and Liebich, I. (Ed.), pp. 234-235, 2001
  
• Wilke, C. O. and Ronnewinkel, C.: Dynamic fitness landscapes: Expansions for small mutation rates: Physica, vol. A 290, pp. 475-490, 2001
  
• Wilke, C. O., Ronnewinkel, C., and Martinetz, T.: Dynamic Fitness Landscapes in Molecular Evolution: Physics Reports, vol. 349, pp. 395-446, 2001
  

2000

• Barth, E. and Ferraro, M.: On the geometric structure of spatio-temporal patterns: Algebraic Frames for the Perception-Action Cycle, Sommer, G. and Zeevi, Y. (Ed.), Springer Lecture Notes in Computer Science, Berlin, pp. 134-143, 2000
  
• Barth, E. and Watson, A. B.: A geometric framework for nonlinear visual coding: Optics Express, vol. 7, no. 4, pp. 155-165, 2000
  
• Barth, E.: The minors of the structure tensor: Mustererkennung 2000, Sommer, G. (Ed.), Springer, Berlin, pp. 221-228, 2000
  
• Barth, E.: Spatio-temporal curvature and the visual coding of motion: Neural Computation, Proceedings of the International ICSC Congress, Berlin, 2000,
  
• Barth, E.: A geometric view on early and middle level visual coding: Spatial Vision, vol. 13, no. 2-3, pp. 193-199, 2000,, Special Issue on Object Recognition and Image Understanding by Brain and Machines
  
• Kim, J. T.: LindEvol: Artificial Models for Natural Plant Evolution, journal Künstliche Intelligenz: , vol. 1, pp. 26-32, 2000
  
• Mota, C. and Barth, E.: On the uniqueness of curvature features: Dynamische Perzeption, vol. 9, Baratoff, G. and Neumann, H. (Ed.), Infix Verlag, Köln, pp. 175-178, 2000
  
• Srinivasan, V., Zhang, S. W., Chahl, J. S., Barth, E., and Venkatesh, S.: How honeybees make grazing landings on flat surfaces: Biological Cybernetics, vol. 83, no. 3, pp. 171-183, 2000
  
• Walthelm, A. and Madany Mamlouk, A.: Multisensoric Active Spatial Environment Exploration and Modeling: Dynamische Perzeption, Workshop der GI-Fachgruppe 1.0.4 Bildverstehen, Ulm, November 2000, AKA Akademische Verlagsgesellschaft, Berlin, pp. 141-146, 2000
  

1999

• Barth, E., Beard, B. L., and Jr., A. J. A.: Nonlinear features in vernier acuity: IS&T/SPIE Symposium on Human Vision and Electronic Imaging, vol. 3644, 1999
  
• Barth, E.: Bewegung als intrinsische Geometrie von Bildfolgen: Mustererkennung 99, Förster, W., Buhmann, J. M., Faber, A., and Faber, P. (Ed.), Springer, Berlin, Bonn, pp. 301-308, 1999,
  
• Claussen, J. C., Heim, U., and Schuster, P. S. a. G.: Kontrolle von Chaos in räumlich ausgedehnten Systemen: Technische Anwendungen von Erkenntnissen der Nichtlinearen Dynamik, ed. H. Hoffschulz, VDI Technologiezentrum Physikalische Technologien, Frankfurt, pp. 371-374, 1999
  
• Danielmeyer, H. G. and eds., Y. T.: The Company of the Future - Markets, Tools, and Strategies: , Springer, 1999, (eds. H. G. Danielmeyer and Y. Takeda)
  
• Mota, C. and Gomes, J.: Curvature Operators in Geometric Image Processing: Brazilian Symposium on Computer Graphics and Image Processing, IEEE Press, Campinas, Brazil, pp. 223-230, 1999
  
• Rentschler, I. and Barth, E.: Vom Vorteil der tätigen Veränderung bildlicher Vorstellungen: Kunstforum, vol. 148, 1999
  
• Schwöbbermeyer, H. and Kim, J.: A Comparative Analysis of Biodiversity Measures: Advances in Artificial Intelligence, Floreano, D., Nicoud, J., and Mondada, F. (Ed.), Springer Verlag, Berlin, Heidelberg, pp. 119-28, 1999
  
• Walthelm, A., Kluthe, R., and Madany Mamlouk, A.: Ein 3D-Weltmodell zur teilaktiven Positionsverfolgung in komplexen dynamischen Umgebungen: 15. Fachgespräch Autonome Mobile Systeme (AMS`99), München, November 26-27, 1999, 1999
  
• Wilke, C. and Martinetz, T.: Lifetimes of agents under external stress: Phys. Rev. E, Rapid Communication, vol. 59(3), pp. R2512-R2515, 1999
  
• Wilke, C. O. and Martinetz, T.: Adaptive walks on time-dependent fitness landscapes: Physical Review E, vol. 60, no. 2, pp. 2154-2159, 1999
  
• Wilke, C. O., Ronnewinkel, C., and Martinetz, T.: Molecular Evolution in Time Dependent Environments: Advances in Artificial Life, ECAL 1999, Floreano, D., Nicoud, J., and Mondada, F. (Ed.), Springer, 1999
  

1998

• Altmeyer, S., Wilke, C. O., and Martinetz, T.: How fast do structures emerge in hypercycle systems?: Third German Workshop on Artificial Life, Wilke, C. O., Altmeyer, S., and Martinetz, T. (Ed.), Verlag Harri Deutsch, 1998
  
• Barth, E. and Watson, A. B.: Nonlinear spatio-temporal model based on the geometry of the visual input: Investigative Ophtalmology and Visual Science, vol. 39-4 (Supplement), pp. S-2110, 1998
  
• Barth, E. and Watson, A. B.: Nonlinear visual coding from an intrinsic-geometry perspective: Optical Society of America Annual Meeting Technical Digest, October 1998, 1998
  
• Barth, E. and Zetzsche, C.: Endstopped operators based on iterated nonlinear center-surround inhibition: Human Vision and Electronic Imaging, vol. 3299, Rogowitz, B. E. and Pappas, T. N. (Ed.), Bellingham, WA, pp. 67-78, 1998
  
• Barth, E., Zetzsche, C., and Krieger, G.: Curvature Measures in Visual Information Processing: Open Systems and Information Dynamics, vol. 5, pp. 25-39, 1998
  
• Barth, E., Zetzsche, C., and Rentschler, I.: Intrinsic 2D features as textons: J Opt Soc Am A, vol. 15, no. 7, pp. 1723-1732, 1998
  
• Claussen, J. C., Mausbach, T., Piel, A., and Schuster, H. G.: Memory difference control of unknown unstable fixed points: Drifting parameter conditions and delayed measurement: Physical Review E, vol. 58, pp. 7256-7260, 1998
  
• Wilke, C. O., Altmeyer, S., and Martinetz, T.: Third German Workshop on Artificial Life: , Verlag Harri Deutsch, 1998
  
• Wilke, C. O., Altmeyer, S., and Martinetz, T.: Large-scale evolution and extinction in a hierarchically structured environment: Proceedings of Artificial Life VI, Los Angeles, June 26-29, 1998, Adami, C., Belew, R., Kitano, H., and Taylor, C. (Ed.), MIT Press, 1998
  
• Wilke, C. O., Altmeyer, S., and Martinetz, T.: Aftershocks in Coherent-Noise Models: Physica D, vol. 120, pp. 401-417, 1998
  
• Wilke, C. O. and Martinetz, T.: A coarse-grained model of evolution with variable system size: 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, Dittrich, P., Rauhe, H., and Banzhaf, W. (Ed.), 1998
  
• Wilke, C. and Martinetz, T.: Hierarchical noise in large systems of independent agents: Phys. Rev. E, vol. 58(6), pp. 7101-7108, 1998
  

1997

• Danielmeyer, H. G.: What industry expects from science: European Review, vol. 5, no. 2, pp. 185-191, 1997
  
• Danielmeyer, H. G.: The Development of the Industrial Society: European Review, vol. 5, no. 4, pp. 371-381, 1997
  
• Krieger, G., Zetzsche, C., and Barth, E.: Higher-order statistics of natural images and their exploitation by operators selective to intrinsic dimensionality: 1997 IEEE Signal Processing Workshop on Higher-Order statistics, pp. 147-151, 1997
  
• Villmann, T., Der, R., Herrmann, M., and Martinetz, T.: Topology Preservation in Self-Organizing Feature Maps: Exact Definition and Measurement: IEEE-Transactions on Neural Networks, vol. 8, no. 2, pp. 256-266, 1997
  
• Wilke, C. O. and Martinetz, T.: A Simple Model of Evolution with Variable System Size: Phys. Rev. E, vol. 56, pp. 7128-7131, 1997
  
• Zetzsche, C., Barth, E., Krieger, G., and Wegmann, B.: Neural network models and the visual cortex: The missing link between cortical orientation selectivity and the natural environment: Neuroscience Letters, vol. 228, no. 3, pp. 155-158, 1997
  

1996

• Gomes, J., Mota, C., Silva, R. J. d., and Velho, L.: Image effects using contractive mappings: IX Simpósio Brasileiro de Computaç~ao Gráfica e Processamento de Imagens, Velho, L., Albuquerque, A. d., and Lotufo, R. A. (Ed.), Sociedade Brasileira de Computaç~ao, pp. 313-320, 10 1996
  
• Danielmeyer, H. G. and Martinetz, T.: Best practice code of the industrial society - the Forum Engelberg model: European Review (Academia Europea), 1996
  
• Danielmeyer, H. G. and Martinetz, T.: Innovation, investment, and sustainable growth: Acta 7. Forum Engelberg, 1996
  
• Martinetz, T., Gramckow, O., Protzel, P., and Sörgel, G.: Neuronale Netze zur Steuerung von Walzstrassen: atp - Automatisierungstechnische Praxis, vol. 10, 1996
  
• Rentschler, I. and Barth, E.: Caos nella testa, ordine nell` immagine: Fra ordine e caos, Turno, M. F., Liotta, E., and Orsucci, F. (Ed.), Cosmopoli, Roma, pp. 204-211, 1996
  
• Rentschler, I., Barth, E., Zetzsche, C., and Jüttner, M.: Generalization of form in visual pattern classification: Spatial Vision, Special Issue on: Perceptual Learning and Adaption in Man and Machine: Part 2, vol. 10, no. 1, pp. 59-85, 1996
  
• Rentschler, I., Barth, E., Zetzsche, C., and Jüttner, M.: On the generalization of symmetry relations in visual pattern classification: Human Symmetry Perception and its Computational Analysis, Tyler, C. (Ed.), VSP, Utrecht, pp. 237-264, 1996
  

1995

• Barth, E.: Geometrische Analyse und iterative Synthese von Bildern: , VDI Verlag, Düsseldorf, 1995, Reihe: Informatik/Kommunikationstechnik
  
• Krieger, G., Zetzsche, C., and Barth, E.: Nonlinear image operators for the detection of local intrinsic dimensionality: Proc. IEEE Workshop Nonlinear Signal and Image Processing, pp. 182-185, 1995
  
• Martinetz, T. and Hollatz, J.: Neuro-Fuzzy in der Prozessautomatisierung: Neuro-Fuzzy in der industriellen Automatisierung, Bonfig, K. W. (Ed.), expert-Verlag, Renningen, pp. 135-144, 1995
  
• Martinetz, T., Protzel, P., and Gramckow, O.: Walzwerksteuerung mit neuronalen Netzen: Neuronale Netze: Anwendungen in der Automatisierungstechnik, Bericht 1184, VDI-Verlag, Düsseldorf, pp. 35-42, 1995, Auch im Jahrbuch 1997 der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, pages 333-340, Düsseldorf 1995. VDI-Verlag
  
• Martinetz, T., Protzel, P., Gramckow, O., and Sörgel, G.: Neural Network Control for Steel Rolling Mills: Neural Networks: Artificial Intelligence and Industrial Applications, Kappen, B. and Gielen, S. (Ed.), Springer, Heidelberg, pp. 280-286, 1995
  
• Martinetz, T.: Lernverfahren für komplexe Aktuatorik/Robotik: Neuro-Fuzzy Technologien - Anwendungen, Zimmermann, H. J. (Ed.), VDI-Verlag, Düsseldorf, pp. 89-101, 1995
  

1994

• Barth, E., Zetzsche, C., and Krieger, G.: Curvature from a non-differential viewpoint: perspectives from visual information processing: Proceedings of the 4th Conference on Theoretical Physics, General Relativity and Gravitation, Bistrita, Romania, May 1994, vol. 4-5, pp. 84-91, 1994
  
• Deco, G. and Martinetz, T.: Regularizing stochastic Pott neural networks by penalizing mutual information: Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, Marinaro, M. and Morasso, P. (Ed.), Springer, Heidelberg, pp. 693-696, 1994
  
• Martinetz, T. and Poppe, T.: A neural network approach to estimating material properties: Proceedings of the World Congress on Neural Networks (WCNN-94), San Diego, pp. 541-544, 1994
  
• Martinetz, T., Protzel, P., Gramckow, O., and Sörgel, G.: Neural network control for rolling mills: Proceedings of the Second European Congress on Intelligent Techniques and Soft Computing (EUFIT-94), Aachen, vol. I, pp. 147-152, 1994
  
• Martinetz, T. and Schulten, K.: Topology Representing Networks: Neural Networks, vol. 7(3), pp. 507-522, 1994
  
• Martinetz, T.: Neural learning can form structures from computational geometry: Tagungsband des 39. internationalen wissenschaftlichen Kolloquiums, Ilmenau, vol. II, pp. 206-211, 1994
  
• Poppe, T., Martinetz, T., and Hohendahl, K.: Optimierte Steuerung eines Elektrolichtbogenofens: Neue Techniken der Informationsverarbeitung, Schlang, M., Schürmann, B., and Linzenkirchner, E. (Ed.), Winkler-Verlag, München, pp. 19-29, 1994
  
• Villmann, T., Der, R., Herrmann, M., and Martinetz, T.: Topology preservation in self-organizing feature maps: general definition and efficient measurement: Lecture Notes in Computer Science, Springer, Heidelberg, pp. 159-166, 1994
  
• Villmann, T., Der, R., and Martinetz, T.: A new quantitative measure of topology preservation in Kohonen`s feature maps: Proceedings of the IEEE International Conference on Neural Networks (ICNN-94), Orlando, vol. II, pp. 645-648, 1994
  
• Villmann, T., Der, R., and T. Martinetz, t. . A. n. a. t. m. t. t. p. o. f. m.: : Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, Marinaro, M. and Morasso, P. (Ed.), Springer, Heidelberg, pp. 298-301, 1994
  
• Zetzsche, C., Krieger, G., Barth, E., Wegmann, B., and Hauske, G.: Nichtlineare Operatoren und Bindungen höherer Ordnung in der biologischen und technischen Musterverarbeitung: Momente höherer Ordnung: Algorithmen und deren Anwendung, pp. 75-83, 1994, ITG/VDE, ISIA, TH Darmstadt, September 1994
  

1993

• Barth, E., Caelli, T., and Zetzsche, C.: Image Encoding, Labeling, and Reconstruction from Differential Geometry: CVGIP: Graphical Models and Image Processing, vol. 55, no. 6, Academic Press, pp. 428-446, 11 1993
  
• Zetzsche, C., Barth, E., and Wegmann, B.: The importance of intrinsically two-dimensional image features in biological vision and picture coding: Digital Images and Human Vision, Watson, A. B. (Ed.), MIT Press, pp. 109-38, 10 1993
  
• Barth, E., Zetzsche, C., Ferraro, M., and Rentschler, I.: Fractal properties from 2D-curvature on multiple scales: Geometric Methods in Computer Vision II, SPIE, vol. 2031, Vemuri, B. (Ed.), pp. 87-99, 1993
  
• Martinetz, T., Berkovich, S., and Schulten, K.: Neural-gas Network for Vector Quantization and its Application to Time-Series Prediction: IEEE-Transactions on Neural Networks, vol. 4, no. 4, pp. 558-569, 1993
  
• Martinetz, T. and Schulten, K.: A neural network for robot control: cooperation between neural units as a requirement for learning: Computers & Electrical Engineering, vol. 19, no. 4, pp. 315-332, 1993
  
• Martinetz, T. and Schulten, K.: A Neural Network with Hebbian-like Adaption Rules Learning Visuomotor Coordination of a PUMA Robot: Proceedings of the IEEE International Conference on Neural Networks (ICNN-93), San Francisco, vol. II, pp. 820-825, 1993
  
• Martinetz, T.: Competitive hebbian learning rule forms perfectly topology preserving maps: Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, Gielen, S. and Kappen, B. (Ed.), Springer, Heidelberg, pp. 427-434, 1993
  
• Martinetz, T.: Neuronale Karten in der Robotik: Lernen visuell geführter Greifbewegungen: Konferenzband des 3. Anwendersymposiums zu Neuro-Fuzzy Technologien, Bochum, 1993
  
• Poppe, T. and Martinetz, T.: Estimating material properties for process optimization: Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, Gielen, S. and Kappen, B. (Ed.), Springer, Heidelberg, pp. 795-798, 1993
  
• Zetzsche, C., Wegmann, B., and Barth, E.: Nonlinear Aspects of Primary Vision: Entropy Reduction Beyond Decorrelation: SID 93 DIGEST, pp. 933-936, 1993
  

1992

• Martinetz, T.: Selbstorganisierende neuronal Netzwerkmodelle zur Bewegungssteuerung: , Sankt Augustin, 1992, Dissertationen zur künstlichen Intelligenz
  
• Ritter, H., Martinetz, T., and Schulten, K.: Neural Computation and Self-Organizing Maps: An Introduction: , Addison-Wesley, Massachusetts, 1992
  
• Schuchhardt, J., Claussen, J. C. g. G., Lüthje, N., Molgedey, L., Radons, G., and Schuster, H. G.: Neural Networks for the Classification of Sound Patterns: Applications of Neural Networks (ed. H.G. Schuster), VCH Wiley, pp. 192-202, 1992, (ed. Heinz Georg Schuster)
  

1991

• Barth, E., Caelli, T., and Zetzsche, C.: Efficient visual representation and reconstruction from generalised curvature measures: Geometric Methods in Computer Vision, SPIE, vol. 1570, Vemuri, B. (Ed.), pp. 86-95, 1991
  
• Berkovich, S., Dalger, P., Hesselroth, T., Martinetz, T., Noël, B., Walter, J., and Schulten, K.: Vector quantization algorithm for time-series prediction and visuo-motor control of robots: Verteilte Künstliche Intelligenz und Kooperatives Arbeiten, Brauer, H. W. (Ed.), Heidelberg, pp. 443-447, 1991
  
• Caelli, T., Ferraro, M., and Barth, E.: Aspects of invariant pattern and object recognition: Neural Networks for Perception. Vol. 1: Human and Machine Perception, Wechsler, H. (Ed.), Academic Press, San Diego, pp. 234-247, 1991
  
• Martinetz, T. and Schulten, K.: A Neural-Gas Network Learns Topologies: Artificial Neural Networks, vol. I, pp. 397-402, 1991
  
• Ritter, H., Martinetz, T., and Schulten, K.: Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke: , Addison-Wesley, Bonn, 1991
  
• Walter, J., Martinetz, T., and Schulten, K.: Industrial Robot learns Visuo-motor Coordination by Means of Neural-Gas Network: Artificial Neural Networks, vol. I, al., T. K. e. (Ed.), Amsterdam, pp. 357-364, 1991
  
• Zetzsche, C. and Barth, E.: Direct detection of flow discontinuities by 3D curvature operators: Pattern Recognition Letters, vol. 12, pp. 771-779, 1991
  
• Zetzsche, C., Barth, E., and Berkmann, J.: Spatio-temporal curvature measures for flow-field analysis: SPIE Geometric Methods in Computer Vision, vol. 1570, pp. 337-350, 1991
  

1990

• Martinetz, T., Ritter, H., and Schulten, K.: Learning of Visuomotor-Coordination of a Robot Arm with Redundant Degrees of Freedom: Proceedings of the International Conference on Parallel Processing in Neural Sytems and Computers (ICNC-90), Düsseldorf 1990, Eckmiller, R., Hartmann, G., and Hauske, G. (Ed.), Amsterdam, pp. 431-434, 1990, And in: Proceedings of the Third International Symposium on Robotics and Manufacturing, Vancouver 1990 (ISRAM-90), pages 521-526, 1990
  
• Martinetz, T., Ritter, H., and Schulten, K.: Three-Dimensional Neural Net for Learning Visuomotor Coordination of a Robot Arm: IEEE-Transactions on Neural Networks, vol. 1, no. 1, pp. 131-136, 1990
  
• Martinetz, T. and Schulten, K.: Hierarchical Neural Net for Learning Control of a Robot`s Arm and Gripper: Proceedings of the International Joint Conference on Neural Networks (IJCNN-90), San Diego 1990, vol. II, pp. 747-752, 1990
  
• Ritter, H., Martinetz, T., and Schulten, K.: Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke: , Addison-Wesley, Bonn, 1990
  
• Zetzsche, C. and Barth, E.: Fundamental limits of linear filters in the visual processing of two-dimensional signals: Vision Research, vol. 30, pp. 1111-1117, 1990
  
• Zetzsche, C. and Barth, E.: Image surface predicates and the neural encoding of two-dimensional signal variation: Human Vision and Electronic Imaging: Models, Methods, and Applications, vol. SPIE 1249, Rogowitz, B. E. (Ed.), pp. 160-177, 1990
  

1989

• Barth, E.: Vom geometrischen Krümmungsbegriff zur systemtheoretischen Analyse von zweidimensionalen Bildmerkmalen: , 1989
  
• Martinetz, T., Ritter, H., and Schulten, K.: 3D-Neural-Net for Learning Visuomotor-Coordination of a Robot Arm: Proceedings of the International Joint Conference on Neural Networks (IJCNN-89), Washington 1989, vol. II, pp. 351-356, 1989
  
• Martinetz, T., Ritter, H., and Schulten, K.: Kohonen`s Self-organizing Map for Modeling the Formation of the Auditory Cortex of a Bat: Connectionism in Perspective, Pfeifer, R., Schreter, Z., Fogelman-Soulie, F., and Steels, L. (Ed.), Amsterdam, pp. 403-412, 1989
  
• Ritter, H., Martinetz, T., and Schulten, K.: Ein Gehirn für Roboter - Wie neuronale Netzwerke Roboter steuern können: MC-Computermagazin, vol. 2, pp. 48-61, 1989
  
• Ritter, H., Martinetz, T., and Schulten, K.: Topology-Conserving Maps for Learning Visuo-Motor-Coordination: Neural Networks, vol. 2, pp. 159-168, 1989
  
• Ritter, H., Martinetz, T., and Schulten, K.: Topology-Conserving Maps for Motor Control: Neural Networks, from Models to Applications, Personnaz, L. and Dreyfus, G. (Ed.), EZIDET, pp. 579-591, 1989
  

1988

• Martinetz, T.: Selbstorganisierte visuo-motorische Kopplung: , 1988, Diploma Thesis
  

1981

• Pruss, D., Huber, G., and Danielmeyer, H. G.: Synchroton Radiation time-resolved Study of Lattice Changes induced by Laser Pulse Excitation: Acta Chryst., vol. A73, Suppl. S, pp. C-306, 1981
  

1980

• Huber, G. and Danielmeyer, H. G.: Recent Developments in Solid State Laser Materials II: Spectroscopic and Laser Properties: Proc. Intl. Conf. on Lasers, Orlando, 1980
  

1979

• Huber, G. and Danielmeyer, H. G.: NdP5O14 and NdAl3(BO3)4 Lasers at 1.3 ym: Appl. Phys., vol. 18, , 1979
  

1978

• Hattendorf, H. D., Huber, G., and Danielmeyer, H. G.: Efficient Cross Pumping of Nd3+ by Cr3+ in Nd(AlCr)3(BO3)4: J. Phys., vol. C11, , 1978
  
• Huber, G. and Danielmeyer, H. G.: Miniature Nd3+ Lasers at 1.3 ym: IEEE Catalogue 78, , 1978
  

1976

• Danielmeyer, H. G.: Efficiency and Fluorescence Quenching in of Stoichiometric Rare Earth Laser Materials: J. Luminescence, vol. 12/13, , 1976
  
• III, M. S., Toschek, P., and Danielmeyer, H. G.: Unidirectional Saturation Spectroscopy I: Theory and short Dipole Lifetime Limit: Appl. Phys., vol. 11, , 1976
  

1975

• Danielmeyer, H. G.: Progress in Nd:YAG Lasers: Lasers, A Series of Advances IV, Levine, A. K. and DeMaria, A. J. (Ed.), Marcel Deccer Inc., 1975,, Also Habilitation
  
• Danielmeyer, H. G.: Stoichiometric Laser Materials: Festkörperprobleme XV - Advances in Solid State Physics, Queisser, H. J. (Ed.), Vieweg, 1975
  
• Danielmeyer, H. G.: Oscillators and Amplifiers for integrated Optics: Opto-Electronics Laser, vol. 75, , 1975
  
• Huber, G., Holzapfel, W. B., and Danielmeyer, H. G.: Pressure Effects on the Eu3+-Fluorescence in Europium Pentaphosphate: Europhys. Conf. Abstracts 1A, , 1975
  
• Huber, G., Krühler, W. W., Bludau, W., and Danielmeyer, H. G.: Anisotropy in the Laser Performance of NdP5O14: Appl. Phys., vol. 4, , 1975
  
• Krühler, W. W., Huber, G., Danielmeyer, H. G., and Nekvasil, V.: Correlations between Site Geometries and Level Energies in the Laser System Nd1-xYxP5O14: Appl. Phys., vol. 8, , 1975
  

1974

• Danielmeyer, H. G., Jeser, J. P., Schönherr, E., and Stetter, W.: The Growths of Laser Quality NdP5O14 Crystals: J. Crystal Growth, vol. 22, , 1974
  
• Danielmeyer, H. G. and Leiboldt, W. N.: Ultrastable Tunable Single Frequency Nd: YAG Laser: Appl. Phys., vol. 3, , 1974
  
• Huber, G., Jeser, J. P., Krühler, W. W., and Danielmeyer, H. G.: Laser Action in Pentaphosphate Crystals: IEEE J. Quantum Electr., vol. 1O, , 1974
  

1973

• Blätte, M., Danielmeyer, H. G., and Ulrich, R.: Energy Transfer and the complete Level System of NdUP: Appl. Phys., vol. 1, , 1973
  
• Danielmeyer, H. G., Blätte, M., and Palmer, P.: Fluorescence Quenching in Nd:YAG: Appl. Phys., vol. 1, , 1973
  
• Danielmeyer, H. G., Huber, G., Krühler, W. W., and Jeser, J. P.: Continuous Oscillation of a (Sc,Nd)-Pentaphosphate Laser with 4 Milliwatts Pump Threshold: Appl. Phys., vol. 2, , 1973
  
• Krühler, W. W., Jeser, J. P., and Danielmeyer, H. G.: Properties and Laser Oscillation of the (Nd,Y)-Pentaphosphate System: Appl. Phys., vol. 2, , 1973
  
• Weber, H. P., Damen, T. C., Danielmeyer, H. G., and Tofield, B. C.: Nd-Ultraphosphate Laser: Appl. Phys. Lett., vol. 22, , 1973
  

1972

• Danielmeyer, H. G. and Jr., F. W. O.: Diode Pump modulated Nd: YAG Laser,1.: Appl. Phys., vol. 43, , 1972
  
• Danielmeyer, H. G. and Weber, H. P.: Fluorescence in Neodymium Ultraphosphate: IEEE J. Qiantum Electr., vol. QE-8, , 1972
  

1971

• Danielmeyer, H. G. and Barro, J. M.: Laser Pump Cavity with Conical Geometry: Appl. Opt., vol. 10, , 1971
  
• Danielmeyer, H. G. and Turner, E. H.: Electrooptic Elimination of spectral Hole burning in Lasers: Appl. Phys. Lett., vol. 17, , 1971
  
• Danielmeyer, H. G. and Weber, H. P.: Direct Measurement of the Group Velocity of Light: Phys. Rev., vol. 3A, , 1971
  

1970

• Danielmeyer, H. G. and Nilsen, W. G.: Spontaneous Single Frequency Output from a spatiually homogeneous Nd:YAG Laser: Appl. Phys. Lett., vol. 16, , 1970
  
• Danielmeyer, H. G.: Stabilized efficient single Frequency Nd: YAG Laser: IEEE J Quantum Electr., vol. QE-6, , 1970
  
• Danielmeyer, H. G.: Aperture corrections for Sound Absorption Measurements with Light Scattering: J. Acoust. Soc. Am., vol. 47, , 1970
  
• Danielmeyer, H. G.: Low Frequency Dynamics of homogeneously broadened Four-Level CW Lasers: J. Appl. Phys., vol. 41, , 1970
  
• Weber, H. P. and Danielmeyer, H. G.: Multimode Effects in Intensity Correlation Measurements: Phys. Rev., vol. 2A, , 1970