Thomas Martinetz
Thomas Martinetz
Professor of Computer Science, University of Lübeck
Verified email at inb.uni-luebeck.de
Title
Cited by
Cited by
Year
'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
18271993
A" neural-gas" network learns topologies
T Martinetz, K Schulten
University of Illinois at Urbana-Champaign 1 (01), 1991
11761991
Neural computation and self-organizing maps: an introduction
H Ritter, T Martinetz, K Schulten
Addison-Wesley, 1992
11741992
Topology representing networks
T Martinetz, K Schulten
Neural Networks 7 (3), 507-522, 1994
11191994
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
5752013
Neuronale netze
H Ritter, T Martinetz, K Schulten
Munchen: Addison-Wesley, 1991
5721991
Topology-conserving maps for learning visuo-motor-coordination
HJ Ritter, TM Martinetz, KJ Schulten
Neural networks 2 (3), 159-168, 1989
4621989
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
4272010
Competitive Hebbian learning rule forms perfectly topology preserving maps
T Martinetz
International conference on artificial neural networks, 427-434, 1993
4151993
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
4101997
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
3581990
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
2392011
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
1412015
Blind vision
S Avidan, M Butman
European conference on computer vision, 1-13, 2006
1242006
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
1232008
Dynamic fitness landscapes in molecular evolution
CO Wilke, C Ronnewinkel, T Martinetz
Physics Reports 349 (5), 395-446, 2001
1232001
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
1162015
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
1082010
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
822015
Sparse coding neural gas: learning of overcomplete data representations
K Labusch, E Barth, T Martinetz
Neurocomputing 72 (7-9), 1547-1555, 2009
742009
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