Thomas Martinetz 个人学术档案

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Erhardt BarthProfessor of Computer Science, University of Lübeck在 inb.uni-luebeck.de 的电子邮件经过验证
Klaus SchultenProfessor of Physics, University of Illinois at Urbana-Champaign在 ks.uiuc.edu 的电子邮件经过验证
Helge RitterProfessor of Neuroinformatics, Bielefeld University在 techfak.uni-bielefeld.de 的电子邮件经过验证
Michael DorrAdaptive Sensory Technology在 tum.de 的电子邮件经过验证
Hammam AlshazlyAssociate Professor of Computer Science, South Valley University在 sci.svu.edu.eg 的电子邮件经过验证
Hong-Viet V. NgoLecturer, Department of Psychology, University of Essex在 essex.ac.uk 的电子邮件经过验证
Karl GegenfurtnerProfessor of Psychology, Giessen University, Germany在 psychol.uni-giessen.de 的电子邮件经过验证
Christoph LinseResearch associate, University of Lübeck在 inb.uni-luebeck.de 的电子邮件经过验证
Claus WilkeProfessor, Department of Integrative Biology, The University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences Mittweida在 hs-mittweida.de 的电子邮件经过验证
Amir Madany MamloukInstitute for Neuro- and Bioinformatics, University of Luebeck, Germany在 inb.uni-luebeck.de 的电子邮件经过验证
Jan BornUniversität Tübingen; Inst. Med. Psychologie在 uni-tuebingen.de 的电子邮件经过验证
Arne WeigenandUniversität zu Lübeck在 inb.uni-luebeck.de 的电子邮件经过验证
Daniel PolaniProfessor of Artificial Intelligence, School of Computer Science, University of Hertfordshire在 herts.ac.uk 的电子邮件经过验证
Jens Christian ClaussenSenior Lecturer, University of Birmingham在 bham.ac.uk 的电子邮件经过验证
Ralf DerProfessor, retired, University of Leipzig在 mis.mpg.de 的电子邮件经过验证
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UK在 qu.edu.qa 的电子邮件经过验证
J. Michael HerrmannIPAB, School of Informatics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Heinz HandelsProfessor of Medical Informatics, Director DFKI, University of Lübeck在 dfki.de 的电子邮件经过验证
Eleonora VigAmazon在 amazon.com 的电子邮件经过验证

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Thomas Martinetz

Professor of Computer Science, University of Lübeck

在 inb.uni-luebeck.de 的电子邮件经过验证

neural networks machine learning artificial intelligence computational neuroscience künstliche Intelligenz


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
'Neural-gas' network for vector quantization and its application to time-series prediction TM Martinetz, SG Berkovich, KJ Schulten IEEE transactions on neural networks 4 (4), 558-569, 1993	2000	1993
A" neural-gas" network learns topologies T Martinetz, K Schulten University of Illinois at Urbana-Champaign 1 (01), 1991	1291	1991
Neural Computation and Self-Organizing Maps; An Introduction H Ritter, T Martinetz, K Schulten Addison-Wesley Longman Publishing Co., Inc., 1992	1290	1992
Topology representing networks T Martinetz, K Schulten Neural Networks 7 (3), 507-522, 1994	1196	1994
Auditory closed-loop stimulation of the sleep slow oscillation enhances memory HVV Ngo, T Martinetz, J Born, M Mölle Neuron 78 (3), 545-553, 2013	946	2013
Variability of eye movements when viewing dynamic natural scenes M Dorr, T Martinetz, KR Gegenfurtner, E Barth Journal of vision 10 (10), 28-28, 2010	548	2010
Competitive Hebbian learning rule forms perfectly topology preserving maps T Martinetz ICANN’93: Proceedings of the International Conference on Artificial Neural …, 1993	460	1993
Topology preservation in self-organizing feature maps: exact definition and measurement T Villmann, R Der, M Herrmann, TM Martinetz IEEE transactions on neural networks 8 (2), 256-266, 1997	435	1997
Neuronale netze H Ritter, T Martinetz, K Schulten Munchen: Addison-Wesley, 1991	394	1991
Three-dimensional neural net for learning visuomotor coordination of a robot arm TM Martinetz, HJ Ritter, KJ Schulten IEEE transactions on neural networks 1 (1), 131-136, 1990	389	1990
Topology-conserving maps for learning visuo-motor-coordination HJ Ritter, TM Martinetz, KJ Schulten Neural networks 2 (3), 159-168, 1989	381	1989
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties KK Kandaswamy, KC Chou, T Martinetz, S Möller, PN Suganthan, ... Journal of theoretical biology 270 (1), 56-62, 2011	277	2011
Driving sleep slow oscillations by auditory closed-loop stimulation—a self-limiting process HVV Ngo, A Miedema, I Faude, T Martinetz, M Mölle, J Born Journal of Neuroscience 35 (17), 6630-6638, 2015	245	2015
Explainable COVID-19 detection using chest CT scans and deep learning H Alshazly, C Linse, E Barth, T Martinetz Sensors 21 (2), 455, 2021	209	2021
Classifiers for ischemic stroke lesion segmentation: a comparison study O Maier, C Schröder, ND Forkert, T Martinetz, H Handels PloS one 10 (12), e0145118, 2015	153	2015
Deep convolutional neural networks as generic feature extractors L Hertel, E Barth, T Käster, T Martinetz 2015 International Joint Conference on Neural Networks (IJCNN), 1-4, 2015	132	2015
Simple method for high-performance digit recognition based on sparse coding K Labusch, E Barth, T Martinetz Neural Networks, IEEE Transactions on 19 (11), 1985-1989, 2008	131	2008
Dynamic fitness landscapes in molecular evolution CO Wilke, C Ronnewinkel, T Martinetz Physics Reports 349 (5), 395-446, 2001	130	2001
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework AS Kini, AN Gopal Reddy, M Kaur, S Satheesh, J Singh, T Martinetz, ... Contrast Media & Molecular Imaging 2022 (1), 7377502, 2022	114	2022
Prediction of apoptosis protein locations with genetic algorithms and support vector machines through a new mode of pseudo amino acid composition K Kumar Kandaswamy, G Pugalenthi, S Moller, E Hartmann, ... Protein and Peptide Letters 17 (12), 1473-1479, 2010	107	2010

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