Thomas Martinetz

2009
41	EE	Kai Labusch, Erhardt Barth, Thomas Martinetz: Sparse Coding Neural Gas: Learning of overcomplete data representations. Neurocomputing 72(7-9): 1547-1555 (2009)
2008
40	EE	Kai Labusch, Fabian Timm, Thomas Martinetz: Simple Incremental One-Class Support Vector Classification. DAGM-Symposium 2008: 21-30
39	EE	Kai Labusch, Erhardt Barth, Thomas Martinetz: Learning Data Representations with Sparse Coding Neural Gas. ESANN 2008: 233-238
38	EE	Martin Böhme, Michael Dorr, Mathis Graw, Thomas Martinetz, Erhardt Barth: A software framework for simulating eye trackers. ETRA 2008: 251-258
37	EE	Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz: Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. ICANN (1) 2008: 41-50
36	EE	Kai Labusch, Erhardt Barth, Thomas Martinetz: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. ICANN (1) 2008: 788-797
35	EE	Fabian Timm, Sascha Klement, Thomas Martinetz: Fast model selection for MaxMinOver-based training of support vector machines. ICPR 2008: 1-4
34	EE	Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Uncertainty propagation for quality assurance in Reinforcement Learning. IJCNN 2008: 2588-2595
2007
33	EE	Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments. ESANN 2007: 301-306
32	EE	Daniel Schneegaß, Anton Maximilian Schäfer, Thomas Martinetz: The Intrinsic Recurrent Support Vector Machine. ESANN 2007: 325-330
31	EE	Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification. ESANN 2007: 337-342
30	EE	Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. ICANN (1) 2007: 109-118
2006
29		Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. Artificial Intelligence and Applications 2006: 428-433
28	EE	Daniel Schneegaß, Thomas Martinetz, Michael Clausohm: OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. ESANN 2006: 575-580
27	EE	Martin Böhme, Michael Dorr, Thomas Martinetz, Erhardt Barth: Gaze-contingent temporal filtering of video. ETRA 2006: 109-115
26	EE	Daniel Schneegaß, Kai Labusch, Thomas Martinetz: MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. ICANN (1) 2006: 150-158
25	EE	Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, Thomas Martinetz: Guiding Eye Movements for Better Communication and Augmented Vision. PIT 2006: 1-8
24	EE	Michael Dorr, Martin Böhme, Thomas Martinetz, Erhardt Barth: Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display. PIT 2006: 205-207
23	EE	André Meyer, Martin Böhme, Thomas Martinetz, Erhardt Barth: A Single-Camera Remote Eye Tracker. PIT 2006: 208-211
22	EE	Thomas Martinetz, Amir Madany Mamlouk, Cicero Mota: Fast and Easy Computation of Approximate Smallest Enclosing Balls. SIBGRAPI 2006: 163-170
21	EE	Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, Erhardt Barth: Eye movement predictions on natural videos. Neurocomputing 69(16-18): 1996-2004 (2006)
2005
20		Uwe Brinkschulte, Jürgen Becker, Dietmar Fey, Christian Hochberger, Thomas Martinetz, Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, Rolf P. Würtz: 18th International Conference on Architecture of Computing Systems, Workshops, Innsbruck, Austria, March 2005 VDE Verlag 2005
19	EE	Michael Dorr, Thomas Martinetz, Martin Böhme, Erhardt Barth: Visibility of temporal blur on a gaze-contingent display. APGV 2005: 33-36
18	EE	Thomas Martinetz, Kai Labusch, Daniel Schneegaß: SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. ICANN (2) 2005: 301-306
17	EE	Amir Madany Mamlouk, Hannah Sharp, Kerstin M. L. Menne, Ulrich G. Hofmann, Thomas Martinetz: Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations. Neurocomputing 65-66: 275-282 (2005)
2004
16	EE	Thomas Martinetz: MinOver Revisited for Incremental Support-Vector-Classification. DAGM-Symposium 2004: 187-194
15		Martin Böhme, Christopher Krause, Thomas Martinetz, Erhardt Barth: Saliency Extraction for Gaze-Contingent Displays. GI Jahrestagung (2) 2004: 646-650
14	EE	Jan T. Kim, Jan E. Gewehr, Thomas Martinetz: Binding Matrix: a Novel Approach for Binding Site Recognition. J. Bioinformatics and Computational Biology 2(2): 289-308 (2004)
2003
13	EE	Amir Madany Mamlouk, Jan T. Kim, Erhardt Barth, Michael Brauckmann, Thomas Martinetz: One-Class Classification with Subgaussians. DAGM-Symposium 2003: 346-353
12	EE	Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller: Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. ESANN 2003: 509-514
2001
11	EE	Daniel Polani, Thomas Martinetz, Jan T. Kim: An Information-Theoretic Approach for the Quantification of Relevance. ECAL 2001: 704-713
10		Jan T. Kim, Thomas Martinetz, Daniel Polani: On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. German Conference on Bioinformatics 2001: 192-194
9	EE	Martin Haker, André Meyer, Daniel Polani, Thomas Martinetz: A Method for Incorporation of New Evidence to Improve World State Estimation. RoboCup 2001: 362-367
2000
8	EE	Daniel Polani, Thomas Martinetz: Team Description for Lucky Lübeck - Evidence-Based World State Estimation. RoboCup 2000: 481-484
1999
7		Claus O. Wilke, Christopher Ronnewinkel, Thomas Martinetz: Molecular Evolution in Time-Dependent Environments. ECAL 1999: 417-421
6	EE	Christopher Ronnewinkel, Claus O. Wilke, Thomas Martinetz: Genetic Algorithms in Time-Dependent Environments CoRR physics/9911006: (1999)
1994
5		Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz: Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. Fuzzy Days 1994: 159-166
4	EE	Thomas Martinetz, Klaus Schulten: Topology representing networks. Neural Networks 7(3): 507-522 (1994)
1992
3		Thomas Martinetz: Selbstorganisierende neuronale Netzwerkmodelle zur Bewegungssteuerung. Infix Verlag, St. Augustin, Germany 1992
1991
2		Stan Berkovitch, Philippe Dalger, Ted Hesselroth, Thomas Martinetz, Benoît Noël, Jörg A. Walter, Klaus Schulten: Vector Quantization Algorithm for Time Series Prediction and Visuo-Motor Control of Robots. Wissensbasierte Systeme 1991: 443-447
1989
1	EE	Helge Ritter, Thomas Martinetz, Klaus Schulten: Topology-conserving maps for learning visuo-motor-coordination. Neural Networks 2(3): 159-168 (1989)

Coauthor Index

1	Dorothee Auer	[12]
2	Erhardt Barth	[13] [15] [19] [21] [23] [24] [25] [27] [36] [38] [39] [41]
3	Jürgen Becker	[20]
4	Stan Berkovitch	[2]
5	Martin Böhme	[15] [19] [21] [23] [24] [25] [27] [38]
6	Michael Brauckmann	[13]
7	Uwe Brinkschulte	[20]
8	Michael Clausohm	[28]
9	Philippe Dalger	[2]
10	Ralf Der	[5]
11	Michael Dorr	[19] [21] [24] [25] [27] [38]
12	Dietmar Fey	[20]
13	Karl R. Gegenfurtner	[25]
14	Jan E. Gewehr	[14]
15	Mathis Graw	[38]
16	Martin Haker	[9]
17	J. Michael Herrmann	[5]
18	Ted Hesselroth	[2]
19	Christian Hochberger	[20]
20	Ulrich G. Hofmann	[17]
21	Jan T. Kim	[10] [11] [13] [14]
22	Sascha Klement	[35] [37]
23	Christopher Krause	[15] [21]
24	Kai Labusch	[18] [26] [36] [39] [40] [41]
25	Amir Madany Mamlouk	[13] [17] [22] [37]
26	Kerstin M. L. Menne	[17]
27	André Meyer	[9] [23]
28	Anke Meyer-Bäse	[12]
29	Cicero Mota	[22]
30	Christian Müller-Schloer	[20]
31	Benoît Noël	[2]
32	Thomas D. Otto	[12]
33	Daniel Polani	[8] [9] [10] [11]
34	Helge Ritter	[1]
35	Christopher Ronnewinkel	[6] [7]
36	Anton Maximilian Schäfer	[32]
37	Hartmut Schmeck	[20]
38	Daniel Schneegaß	[18] [26] [28] [29] [30] [31] [32] [33] [34]
39	Klaus Schulten	[1] [2] [4]
40	Hannah Sharp	[17]
41	Fabian Timm	[35] [40]
42	Steffen Udluft	[29] [30] [31] [33] [34]
43	Theo Ungerer	[20]
44	Thomas Villmann	[5]
45	Jörg A. Walter	[2]
46	Claus O. Wilke	[6] [7]
47	Axel Wismüller	[12]
48	Rolf P. Würtz	[20]

Colors in the list of coauthors