Thomas Martinetz, Ph.D. - Publications

Affiliations: 
University of Luebeck, Lübeck, Schleswig-Holstein, Germany 

117 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Burciu I, Martinetz T, Barth E. Hierarchical manifold sensing with foveation and adaptive partitioning of the dataset Journal of Imaging Science and Technology. 60. DOI: 10.2352/J.ImagingSci.Technol.2016.60.2.020402  1
2015 Maier O, Schröder C, Forkert ND, Martinetz T, Handels H. Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study. Plos One. 10: e0145118. PMID 26672989 DOI: 10.1371/journal.pone.0145118  1
2015 Dornseifer S, Willkomm S, Far RK, Liebschwager J, Beltsiou F, Frank K, Laufer SD, Martinetz T, Sczakiel G, Claussen JC, Restle T. RNAi revised - target mRNA-dependent enhancement of gene silencing. Nucleic Acids Research. PMID 26578554 DOI: 10.1093/nar/gkv1200  1
2015 Ngo HV, Miedema A, Faude I, Martinetz T, Mölle M, Born J. Driving sleep slow oscillations by auditory closed-loop stimulation-a self-limiting process. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 6630-8. PMID 25926443 DOI: 10.1523/JNEUROSCI.3133-14.2015  1
2015 Krause C, Ens K, Fechner K, Voigt J, Fraune J, Rohwäder E, Hahn M, Danckwardt M, Feirer C, Barth E, Martinetz T, Stöcker W. EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics. Lupus. 24: 516-29. PMID 25801895 DOI: 10.1177/0961203314559635  1
2015 Hertel L, Barth E, Kaster T, Martinetz T. Deep convolutional neural networks as generic feature extractors Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280683  1
2015 Schütze H, Barth E, Martinetz T. Learning orthogonal sparse representations by using geodesic flow optimization Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280651  1
2015 Burciu I, Martinetz T, Barth E. Foveated Manifold Sensing for object recognition 2015 Ieee International Black Sea Conference On Communications and Networking, Blackseacom 2015. 196-200. DOI: 10.1109/BlackSeaCom.2015.7185114  1
2015 Coleca F, State A, Klement S, Barth E, Martinetz T. Self-organizing maps for hand and full body tracking Neurocomputing. 147: 174-184. DOI: 10.1016/j.neucom.2013.10.041  1
2014 Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T. Characterization of K-complexes and slow wave activity in a neural mass model. Plos Computational Biology. 10: e1003923. PMID 25392991 DOI: 10.1371/journal.pcbi.1003923  1
2014 Schütze H, Barth E, Martinetz T. An adaptive hierarchical sensing scheme for sparse signals Proceedings of Spie - the International Society For Optical Engineering. 9014. DOI: 10.1117/12.2043082  1
2014 Burciu I, Ion-Margineanu A, Martinetz T, Barth E. Visual manifold sensing Proceedings of Spie - the International Society For Optical Engineering. 9014. DOI: 10.1117/12.2043012  1
2014 Hocke J, Martinetz T. Maximum distance minimization for feature weighting Pattern Recognition Letters. 52: 48-52. DOI: 10.1016/j.patrec.2014.10.003  1
2014 Hocke J, Martinetz T. Global metric learning by gradient descent Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 129-135. DOI: 10.1007/978-3-319-11179-7_17  1
2014 Coleca F, Zîrnovean S, Käster T, Martinetz T, Barth E. Key-point detection with multi-layer center-surround inhibition Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 1: 386-393.  1
2013 Ngo HV, Martinetz T, Born J, Mölle M. Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron. 78: 545-53. PMID 23583623 DOI: 10.1016/j.neuron.2013.03.006  1
2013 Klement S, Anders S, Martinetz T. The support feature machine: classification with the least number of features and application to neuroimaging data. Neural Computation. 25: 1548-84. PMID 23517095 DOI: 10.1162/NECO_a_00447  1
2013 Kandaswamy KK, Pugalenthi G, Kalies KU, Hartmann E, Martinetz T. EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection. Journal of Theoretical Biology. 317: 377-83. PMID 23123454 DOI: 10.1016/j.jtbi.2012.10.015  1
2013 Coleca F, Klement S, Martinetz T, Barth E. Real-time skeleton tracking for embedded systems Proceedings of Spie - the International Society For Optical Engineering. 8667. DOI: 10.1117/12.2003004  1
2013 Wellner M, Kastera T, Martinetz T, Barth E. Optimizing depth-of-field based on a range map and a wavelet transform Proceedings of Spie - the International Society For Optical Engineering. 8667. DOI: 10.1117/12.2002330  1
2013 Coleca F, Martinetz T, Barth E. Gesture interfaces with depth sensors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8200: 207-227. DOI: 10.1007/978-3-642-44964-2_10  1
2013 Hocke J, Martinetz T. Feature weighting by maximum distance minimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 420-425. DOI: 10.1007/978-3-642-40728-4_53  1
2013 State A, Coleca F, Barth E, Martinetz T. Hand tracking with an extended self-organizing map Advances in Intelligent Systems and Computing. 198: 115-124. DOI: 10.1007/978-3-642-35230-0_12  1
2013 Coman H, Barth E, Martinetz T. Sparse coding neural gas applied to image recognition Advances in Intelligent Systems and Computing. 198: 105-114. DOI: 10.1007/978-3-642-35230-0_11  1
2012 Weigenand A, Martinetz T, Claussen JC. The phase response of the cortical slow oscillation. Cognitive Neurodynamics. 6: 367-75. PMID 24995052 DOI: 10.1007/s11571-012-9207-z  1
2012 Voigt J, Krause C, Rohwäder E, Saschenbrecker S, Hahn M, Danckwardt M, Feirer C, Ens K, Fechner K, Barth E, Martinetz T, Stöcker W. Automated indirect immunofluorescence evaluation of antinuclear autoantibodies on HEp-2 cells. Clinical & Developmental Immunology. 2012: 651058. PMID 23251220 DOI: 10.1155/2012/651058  1
2012 Vig E, Dorr M, Martinetz T, Barth E. Intrinsic dimensionality predicts the saliency of natural dynamic scenes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1080-91. PMID 22516647 DOI: 10.1109/TPAMI.2011.198  1
2012 Binder T, Martinetz T. On the boundedness of an iteration involving points on the hypersphere International Journal of Computational Geometry and Applications. 22: 499-515. DOI: 10.1142/S0218195912500136  1
2012 Hocke J, Barth E, Martinetz T. Application of non-linear transform coding to image processing Proceedings of Spie - the International Society For Optical Engineering. 8291. DOI: 10.1117/12.908732  1
2012 Binder T, Kriener F, Wichner C, Wille M, Wellner M, Kaester T, Martinetz T, Barth E. How to make a small phone camera shoot like a big DSLR: Creating and fusing multi-modal exposure series Proceedings of Spie - the International Society For Optical Engineering. 8291. DOI: 10.1117/12.905560  1
2012 Schütze H, Martinetz T, Anders S, Madany Mamlouk A. A multivariate approach to estimate complexity of FMRI time series Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7553: 540-547. DOI: 10.1007/978-3-642-33266-1_67  1
2011 Kandaswamy KK, Pugalenthi G, Hazrati MK, Kalies KU, Martinetz T. BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection. Bmc Bioinformatics. 12: 345. PMID 21849049 DOI: 10.1186/1471-2105-12-345  1
2011 Zhang J, Mamlouk AM, Martinetz T, Chang S, Wang J, Hilgenfeld R. PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome. Bmc Bioinformatics. 12: 248. PMID 21689434 DOI: 10.1186/1471-2105-12-248  1
2011 Kandaswamy KK, Chou KC, Martinetz T, Möller S, Suganthan PN, Sridharan S, Pugalenthi G. AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. Journal of Theoretical Biology. 270: 56-62. PMID 21056045 DOI: 10.1016/j.jtbi.2010.10.037  1
2011 Labusch K, Barth E, Martinetz T. Robust and fast learning of sparse codes with stochastic gradient descent Ieee Journal On Selected Topics in Signal Processing. 5: 1048-1060. DOI: 10.1109/JSTSP.2011.2149496  1
2011 Lee JA, Schleif FM, Martinetz T. Advances in artificial neural networks, machine learning, and computational intelligence Neurocomputing. 74: 1299-1300. DOI: 10.1016/j.neucom.2011.02.003  1
2011 Labusch K, Barth E, Martinetz T. Soft-competitive learning of sparse codes and its application to image reconstruction Neurocomputing. 74: 1418-1428. DOI: 10.1016/j.neucom.2011.02.002  1
2011 Vig E, Dorr M, Martinetz T, Barth E. Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes Cognitive Computation. 3: 79-88. DOI: 10.1007/s12559-010-9061-4  1
2011 Klement S, Martinetz T. On the problem of finding the least number of features by L1-norm minimisation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6791: 315-322. DOI: 10.1007/978-3-642-21735-7_39  1
2010 Pugalenthi G, Kandaswamy KK, Suganthan PN, Sowdhamini R, Martinetz T, Kolatkar PR. SMpred: a support vector machine approach to identify structural motifs in protein structure without using evolutionary information. Journal of Biomolecular Structure & Dynamics. 28: 405-14. PMID 20919755 DOI: 10.1080/07391102.2010.10507369  1
2010 Dorr M, Martinetz T, Gegenfurtner KR, Barth E. Variability of eye movements when viewing dynamic natural scenes. Journal of Vision. 10: 28. PMID 20884493 DOI: 10.1167/10.10.28  1
2010 Kandaswamy KK, Pugalenthi G, Möller S, Hartmann E, Kalies KU, Suganthan PN, Martinetz T. Prediction of apoptosis protein locations with genetic algorithms and support vector machines through a new mode of pseudo amino acid composition. Protein and Peptide Letters. 17: 1473-9. PMID 20666727  1
2010 Kandaswamy KK, Pugalenthi G, Hartmann E, Kalies KU, Möller S, Suganthan PN, 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. 391: 1306-11. PMID 19995554 DOI: 10.1016/j.bbrc.2009.12.019  1
2010 Timm F, Martinetz T. Statistical fourier descriptors for defect image classification Proceedings - International Conference On Pattern Recognition. 4190-4193. DOI: 10.1109/ICPR.2010.1018  1
2010 Klement S, Martinetz T. A new approach to classification with the least number of features Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 141-146. DOI: 10.1109/ICMLA.2010.28  1
2010 Danielmeyer HG, Martinetz T. The biologic stability of the industrial evolution European Review. 18: 263-268. DOI: 10.1017/S106279870999041X  1
2010 Böhme M, Haker M, Martinetz T, Barth E. Shading constraint improves accuracy of time-of-flight measurements Computer Vision and Image Understanding. 114: 1329-1335. DOI: 10.1016/j.cviu.2010.08.001  1
2010 Labusch K, Barth E, Martinetz T. Bag of pursuits and neural gas for improved sparse coding Proceedings of Compstat 2010 - 19th International Conference On Computational Statistics, Keynote, Invited and Contributed Papers. 327-336. DOI: 10.1007/978-3-7908-2604-3-30  1
2010 Vig E, Dorr M, Martinetz T, Barth E. A learned saliency predictor for dynamic natural scenes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6354: 52-61. DOI: 10.1007/978-3-642-15825-4_6  1
2010 Klement S, Martinetz T. The support feature machine for classifying with the least number of features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6353: 88-93. DOI: 10.1007/978-3-642-15822-3_11  1
2010 Timm F, Martinetz T, Barth E. Optical inspection of welding seams Communications in Computer and Information Science. 68: 269-282. DOI: 10.1007/978-3-642-11840-1_20  1
2010 Labusch K, Martinetz T. Learning sparse codes for image reconstruction Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 241-246.  1
2009 Martinetz T, Labusch K, Schneegass D. SoftDoubleMaxMinOver: perceptron-like training of support vector machines. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 20: 1061-72. PMID 19497817 DOI: 10.1109/TNN.2009.2016717  1
2009 Repsilber D, Martinetz T, Björklund M. Adaptive dynamics of regulatory networks: size matters. Eurasip Journal On Bioinformatics & Systems Biology. 618502. PMID 19333363 DOI: 10.1155/2009/618502  1
2009 Böhme M, Haker M, Martinetz T, Barth E. Head tracking with combined face and nose detection 2009 International Symposium On Signals, Circuits and Systems, Isscs 2009. DOI: 10.1109/ISSCS.2009.5206211  1
2009 Labusch K, Barth E, Martinetz T. Sparse Coding Neural Gas: Learning of overcomplete data representations Neurocomputing. 72: 1547-1555. DOI: 10.1016/j.neucom.2008.11.027  1
2009 Haker M, Böhme M, Martinetz T, Barth E. Deictic gestures with a time-of-flight camera Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5934: 110-121. DOI: 10.1007/978-3-642-12553-9_10  1
2009 Haker M, Martinetz T, Barth E. Multimodal sparse features for object detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5769: 923-932. DOI: 10.1007/978-3-642-04277-5_93  1
2009 Böhme M, Haker M, Riemer K, Martinetz T, Barth E. Face detection using a time-of-flight camera Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5742: 167-176. DOI: 10.1007/978-3-642-03778-8_13  1
2009 Haker M, Böhme M, Martinetz T, Barth E. Self-organizing maps for pose estimation with a time-of-flight camera Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5742: 142-153. DOI: 10.1007/978-3-642-03778-8_11  1
2009 Labusch K, Barth E, Martinetz T. Approaching the time dependent cocktail party problem with online sparse coding neural gas Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5629: 145-153. DOI: 10.1007/978-3-642-02397-2_17  1
2009 Labusch K, Barth E, Martinetz T. Demixing jazz-music: Sparse Coding Neural Gas for the separation of noisy overcomplete sources Neural Network World. 19: 581-596.  1
2009 Timm F, Klement S, Martinetz T, Barth E. Welding inspection using novel specularity features and a one-class SVM Visapp 2009 - Proceedings of the 4th International Conference On Computer Vision Theory and Applications. 1: 146-153.  1
2008 Labusch K, Barth E, Martinetz T. Simple method for high-performance digit recognition based on sparse coding. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 1985-9. PMID 19000969 DOI: 10.1109/TNN.2008.2005830  1
2008 Böhme M, Haker M, Martinetz T, Barth E. A facial feature tracker for human-computer interaction based on 3D Time-Of-Flight cameras International Journal of Intelligent Systems Technologies and Applications. 5: 264-273. DOI: 10.1504/IJISTA.2008.021289  1
2008 Böhme M, Dorr M, Graw M, Martinetz T, Barth E. A software framework for simulating eye trackers Eye Tracking Research and Applications Symposium (Etra). 251-258. DOI: 10.1145/1344471.1344529  1
2008 Schneegass D, Udluft S, Martinetz T. Uncertainty propagation for quality assurance in reinforcement learning Proceedings of the International Joint Conference On Neural Networks. 2588-2595. DOI: 10.1109/IJCNN.2008.4634160  1
2008 Haker M, Böhme M, Martinetz T, Barth E. Scale-invariant range features for time-of-flight camera applications 2008 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops. DOI: 10.1109/CVPRW.2008.4563169  1
2008 Labusch K, Barth E, Martinetz T. Sparse coding neural gas for the separation of noisy overcomplete sources Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 788-797. DOI: 10.1007/978-3-540-87536-9_81  1
2008 Klement S, Madany Mamlouk A, Martinetz T. Reliability of cross-validation for SVMs in high-dimensional, low sample size scenarios Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 41-50. DOI: 10.1007/978-3-540-87536-9_5  1
2008 Labusch K, Timm F, Martinetz T. Simple incremental one-class support vector classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5096: 21-30. DOI: 10.1007/978-3-540-69321-5_3  1
2008 Timm F, Klement S, Martinetz T. Fast model selection for MaxMinOver-based training of support vector machines Proceedings - International Conference On Pattern Recognition 1
2008 Labusch K, Barth E, Martinetz T. Learning data representations with sparse coding neural gas Esann 2008 Proceedings, 16th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 233-238.  1
2007 Labusch K, Siewert U, Martinetz T, Barth E. Learning optimal features for visual pattern recognition Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.713371  1
2007 Haker M, Böhme M, Martinetz T, Barth E. Geometric invariants for facial feature tracking with 3D TOF cameras Isscs 2007 - International Symposium On Signals, Circuits and Systems, Proceedings. 1: 109-112. DOI: 10.1109/ISSCS.2007.4292663  1
2007 Schneegaß D, Udluft S, Martinetz T. Improving optimality of neural rewards regression for data-efficient batch near-optimal policy identification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4668: 109-118.  1
2007 Schneegaß D, Schaefer AM, Martinetz T. The intrinsic recurrent support vector machine Esann 2007 Proceedings - 15th European Symposium On Artificial Neural Networks. 325-330.  1
2007 Schneegaß D, Udluft S, Martinetz T. Explicit kernel rewards regression for data-efficient near-optimal policy identification Esann 2007 Proceedings - 15th European Symposium On Artificial Neural Networks. 337-342.  1
2007 Schneegaß D, Udluft S, Martinetz T. Neural rewards regression for near-optimal policy identification in markovian and partial observable environments Esann 2007 Proceedings - 15th European Symposium On Artificial Neural Networks. 301-306.  1
2006 Barth E, Dorr M, Böhme M, Gegenfurtner K, Martinetz T. Guiding the mind's eye: Improving communication and vision by external control of the scanpath Proceedings of Spie - the International Society For Optical Engineering. 6057. DOI: 10.1117/12.674147  1
2006 Martinetz T, Mamlouk AM, Mota C. Fast and easy computation of approximate smallest enclosing balls Brazilian Symposium of Computer Graphic and Image Processing. 163-168. DOI: 10.1109/SIBGRAPI.2006.20  1
2006 Böhme M, Dorr M, Krause C, Martinetz T, Barth E. Eye movement predictions on natural videos Neurocomputing. 69: 1996-2004. DOI: 10.1016/j.neucom.2005.11.019  1
2006 Dorr M, Böhme M, Martinetz T, Barth E. Gaze-contingent spatio-temporal filtering in a head-mounted display Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4021: 205-207. DOI: 10.1007/11768029_24  1
2006 Barth E, Dorr M, Böhme M, Gegenfurtner K, Martinetz T. Guiding eye movements for better communication and augmented vision Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4021: 1-8. DOI: 10.1007/11768029_1  1
2006 Schneegaß D, Udluft S, Martinetz T. Kernel rewards regression: An information efficient batch policy iteration approach Proceedings of the Iasted International Conference On Artificial Intelligence and Applications, Aia 2006. 428-433.  1
2006 Schneegaß D, Labusch K, Martinetz T. MaxMinOver regression: A simple incremental approach for support vector function approximation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4131: 150-158.  1
2006 Meyer A, Bõhme M, Martinetz T, Barth E. A single-camera remote eye tracker Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4021: 208-211.  1
2005 Dorr M, Martinetz T, Böhme M, Barth E. Visibility of temporal blur on a gaze-contingent display Proceedings - Apgv 2005: 2nd Symposium On Applied Perception in Graphics and Visualization. 33-36. DOI: 10.1145/1080402.1080407  1
2005 Mamlouk AM, Sharp H, Menne KML, Hofmann UG, Martinetz T. Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations Neurocomputing. 65: 275-282. DOI: 10.1016/j.neucom.2004.10.019  1
2005 Meyer-Bäse A, Jancke K, Wismüller A, Foo S, Martinetz T. Medical image compression using topology-preserving neural networks Engineering Applications of Artificial Intelligence. 18: 383-392. DOI: 10.1016/j.engappai.2004.10.004  1
2005 Böhme M, Dorr M, Martinetz T, Barth E. Gaze-contingent temporal filtering of video Eye Tracking Research and Applications Symposium (Etra). 2005: 109-124.  1
2005 Martinetz T, Labusch K, Schneegaß D. SoftDoubleMinOver: A simple procedure for maximum margin classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3697: 301-306.  1
2004 Kim JT, Gewehr JE, Martinetz T. Binding matrix: a novel approach for binding site recognition. Journal of Bioinformatics and Computational Biology. 2: 289-307. PMID 15297983 DOI: 10.1142/S0219720004000569  1
2004 Martinetz T. MaxMinOver: A simple incremental learning procedure for support vector classification Ieee International Conference On Neural Networks - Conference Proceedings. 3: 2065-2070. DOI: 10.1109/IJCNN.2004.1380935  1
2004 Mamlouk AM, Martinetz T. On the dimensions of the olfactory perception space Neurocomputing. 58: 1019-1025. DOI: 10.1016/j.neucom.2004.01.161  1
2004 Martinetz T. MinOver Revisited for Incremental Support-Vector-Classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3175: 187-194.  1
2003 Kim JT, Martinetz T, Polani D. Bioinformatic principles underlying the information content of transcription factor binding sites. Journal of Theoretical Biology. 220: 529-44. PMID 12623284 DOI: 10.1006/jtbi.2003.3153  1
2003 Barth E, Drewes J, Martinetz T. Individual predictions of eye-movements with dynamic scenes Proceedings of Spie - the International Society For Optical Engineering. 5007: 252-259. DOI: 10.1117/12.477374  1
2003 Barth E, Drewes J, Martinetz T. Dynamic predictions of tracked gaze Proceedings - 7th International Symposium On Signal Processing and Its Applications, Isspa 2003. 1: 245-248. DOI: 10.1109/ISSPA.2003.1224686  1
2003 Mamlouk AM, Kim JT, Barth E, Brauckmann M, Martinetz T. One-class classification with subgaussians Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2781: 346-353.  1
2003 Martinetz T, Gewehr JE, Kim JT. Statistical Learning for Detecting Protein-DNA-Binding Sites Proceedings of the International Joint Conference On Neural Networks. 4: 2940-2945.  1
2002 Haker M, Meyer A, Polani D, Martinetz T. A method for incorporation of new evidence to improve world state estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2377: 362-367.  1
2001 Polani D, Martinetz T. Team description for Lucky Lübeck - Evidence-based World state Estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019: 481-484.  1
2001 Wilke CO, Ronnewinkel C, Martinetz T. Dynamic fitness landscapes in molecular evolution Physics Report. 349: 395-446.  1
2001 Polani D, Martinetz T, Kim J. An information-theoretic approach for the quantification of relevance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2159: 704-713.  1
1999 Wilke CO, Martinetz T. Adaptive walks on time-dependent fitness landscapes. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 60: 2154-9. PMID 11970008  1
1999 Wilke CO, Ronnewinkel C, Martinetz T. Molecular evolution in time-dependent environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1674: 417-421. DOI: 10.1007/3-540-48304-7_57  1
1998 Wilke C, Martinetz T. Hierarchical noise in large systems of independent agents Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 58: 7101-7108.  1
1998 Wilke C, Altmeyer S, Martinetz T. Aftershocks in coherent-noise models Physica D: Nonlinear Phenomena. 120: 401-417.  1
1997 Villmann T, Der R, Herrmann M, Martinetz TM. Topology preservation in self-organizing feature maps: exact definition and measurement. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 8: 256-66. PMID 18255630 DOI: 10.1109/72.557663  1
1997 Wilke C, Martinetz T. Simple model of evolution with variable system size Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 56: 7128-7131.  1
1994 Martinetz T, Schulten K. Topology representing networks Neural Networks. 7: 507-522. DOI: 10.1016/0893-6080(94)90109-0  1
1993 Martinetz TM, Berkovich SG, Schulten KJ. ;Neural-gas' network for vector quantization and its application to time-series prediction. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 4: 558-69. PMID 18267757 DOI: 10.1109/72.238311  1
1993 Martinetz T, Schulten K. A neural network with hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot Ieee International Conference On Neural Networks - Conference Proceedings. 1993: 820-822. DOI: 10.1109/ICNN.1993.298661  1
1993 Martinetz T, Schulten K. A neural network for robot control: Cooperation between neural units as a requirement for learning Computers and Electrical Engineering. 19: 315-332. DOI: 10.1016/0045-7906(93)90053-T  1
1990 Martinetz TM, Ritter HJ, Schulten KJ. Three-dimensional neural net for learning visuomotor coordination of a robot arm. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 1: 131-6. PMID 18282830 DOI: 10.1109/72.80212  1
1989 Ritter HJ, Martinetz TM, Schulten KJ. Topology-conserving maps for learning visuo-motor-coordination Neural Networks. 2: 159-168. DOI: 10.1016/0893-6080(89)90001-4  1
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