Thomas Martinetz

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Erhardt BarthProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Klaus SchultenProfessor of Physics, University of Illinois at Urbana-ChampaignVerified email at ks.uiuc.edu
Helge RitterProfessor of Neuroinformatics, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyVerified email at psychol.uni-giessen.de
Hong-Viet V. NgoPostdoc, Department of Psychology, University of LübeckVerified email at uni-luebeck.de
Claus WilkeProfessor, Department of Integrative Biology, The University of Texas at AustinVerified email at austin.utexas.edu
Daniel PolaniProfessor of Artificial Intelligence, School of Computer Science, University of HertfordshireVerified email at herts.ac.uk
Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaVerified email at hs-mittweida.de
Jan BornUniversität Tübingen; Inst. Med. PsychologieVerified email at uni-tuebingen.de
Hammam AlshazlyAssistant Professor of Computer Science, South Valley UniversityVerified email at sci.svu.edu.eg
Amir Madany MamloukInstitute for Neuro- and Bioinformatics, University of Luebeck, GermanyVerified email at inb.uni-luebeck.de
Arne WeigenandUniversität zu LübeckVerified email at inb.uni-luebeck.de
Christoph LinseResearch associate, University of LübeckVerified email at inb.uni-luebeck.de
Ralf DerProfessor, retired, University of LeipzigVerified email at mis.mpg.de
Jens Christian ClaussenSenior Lecturer, University of BirminghamVerified email at bham.ac.uk
Dr. P. N. Suganthan (SCI Highly Cited...Some Codes available at GitHub, (Hon. Doctorate, U. of Maribor, 2020 ; BA & MA, U. of Cambridge, UK)Verified email at ntu.edu.sg
J. Michael HerrmannIPAB, School of Informatics, University of EdinburghVerified email at ed.ac.uk
Steffen UdluftLearning Systems, SiemensVerified email at siemens.com
Eleonora VigAmazonVerified email at amazon.com

Thomas Martinetz

Professor of Computer Science, University of Lübeck

Verified email at inb.uni-luebeck.de

neural networks machine learning artificial intelligence computational neuroscience künstliche Intelligenz


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'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	1876	1993
A" neural-gas" network learns topologies T Martinetz, K Schulten University of Illinois at Urbana-Champaign 1 (01), 1991	1226	1991
Neural computation and self-organizing maps: an introduction H Ritter, T Martinetz, K Schulten Addison-Wesley, 1992	1183	1992
Topology representing networks T Martinetz, K Schulten Neural Networks 7 (3), 507-522, 1994	1142	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	696	2013
Neuronale netze H Ritter, T Martinetz, K Schulten Munchen: Addison-Wesley, 1991	589	1991
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	459	2010
Competitive Hebbian learning rule forms perfectly topology preserving maps T Martinetz International conference on artificial neural networks, 427-434, 1993	437	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	417	1997
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	365	1990
Topology-conserving maps for learning visuo-motor-coordination HJ Ritter, TM Martinetz, KJ Schulten Neural networks 2 (3), 159-168, 1989	355	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	253	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	183	2015
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	137	2015
Dynamic fitness landscapes in molecular evolution CO Wilke, C Ronnewinkel, T Martinetz Physics Reports 349 (5), 395-446, 2001	128	2001
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	126	2008
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	103	2010
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	99	2015
Automated indirect immunofluorescence evaluation of antinuclear autoantibodies on HEp-2 cells J Voigt, C Krause, E Rohwäder, S Saschenbrecker, M Hahn, ... Clinical and Developmental Immunology 2012, 2012	77	2012
Sparse coding neural gas: learning of overcomplete data representations K Labusch, E Barth, T Martinetz Neurocomputing 72 (7-9), 1547-1555, 2009	77	2009

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