Thomas Villmann

	2009
85		Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. IWANN (1) 2009: 933-940
84		Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa: Hierarchical PCA Using Tree-SOM for the Identification of Bacteria. WSOM 2009: 272-280
83		Thomas Villmann, Barbara Hammer: Functional Principal Component Learning Using Oja's Method and Sobolev Norms. WSOM 2009: 325-333
82		Tina Geweniger, D. Zühlke, Barbara Hammer, Thomas Villmann: Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. WSOM 2009: 72-79
81		Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman: Cancer informatics by prototype networks in mass spectrometry. Artificial Intelligence in Medicine 45(2-3): 215-228 (2009)
	2008
80		Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer: Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR 2008: 78-89
79		Marc Strickert, Nese Sreenivasulu, Thomas Villmann, Barbara Hammer: Robust Centroid-Based Clustering using Derivatives of Pearson Correlation. BIOSIGNALS (2) 2008: 197-203
78		Frank-Michael Schleif, Matthias Ongyerth, Thomas Villmann: Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy. CBMS 2008: 620-625
77		Marc Strickert, Frank-Michael Schleif, Thomas Villmann: Metric adaptation for supervised attribute rating. ESANN 2008: 31-36
76		Alexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann: Magnification Control in Relational Neural Gas. ESANN 2008: 325-330
75		Thomas Villmann, Erzsébet Merényi, Udo Seiffert: Machine learning approches and pattern recognition for spectral data. ESANN 2008: 433-444
74		Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456
73		Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann: Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity. ICONIP (2) 2008: 61-69
72		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar: Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers. Computational Intelligence in Biomedicine and Bioinformatics 2008: 141-167
71		Thomas Villmann, Frank-Michael Schleif, Markus Kostrzewa, Axel Walch, Barbara Hammer: Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9(2): 129-143 (2008)
70		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Prototype based fuzzy classification in clinical proteomics. Int. J. Approx. Reasoning 47(1): 4-16 (2008)
	2007
69		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
68		Thomas Villmann, Marc Strickert, Cornelia Brüß, Frank-Michael Schleif, Udo Seiffert: Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. ESANN 2007: 103-108
67		Barbara Hammer, Thomas Villmann: How to process uncertainty in machine learning?. ESANN 2007: 79-90
66		Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert: Intuitive Clustering of Biological Data. IJCNN 2007: 1877-1882
65		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra. IWANN 2007: 1036-1044
64		Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann: Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes. IWANN 2007: 539-546
63		Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer: Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN 2007: 556-563
62		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
61		Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann: 07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007
60		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps. WILF 2007: 563-570
59		Erzsébet Merényi, Abha Jain, Thomas Villmann: Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data. IEEE Transactions on Neural Networks 18(3): 786-797 (2007)
58		Frank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin-based active learning for LVQ networks. Neurocomputing 70(7-9): 1215-1224 (2007)
57		Barbara Hammer, Alexander Hasenfuss, Thomas Villmann: Magnification control for batch neural gas. Neurocomputing 70(7-9): 1225-1234 (2007)
	2006
56		Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann: Supervised Batch Neural Gas. ANNPR 2006: 33-45
55		Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer: Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. ANNPR 2006: 46-56
54		Thomas Villmann, Barbara Hammer, Udo Seiffert: Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. BioADIT 2006: 141-159
53		Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer: Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps. CBMS 2006: 919-924
52		Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann: Neural networks and machine learning in bioinformatics - theory and applications. ESANN 2006: 521-532
51		Frank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin based Active Learning for LVQ Networks. ESANN 2006: 539-544
50		Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert: Fuzzy image segmentation with Fuzzy Labelled Neural Gas. ESANN 2006: 563-568
49		Barbara Hammer, Alexander Hasenfuss, Thomas Villmann: Magnification control for batch neural gas. ESANN 2006: 7-12
48		Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann: Learning Vector Quantization Classification with Local Relevance Determination for Medical Data. ICAISC 2006: 603-612
47		Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell: Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) 2006: 40-49
46		Thomas Villmann, Jens Christian Claussen: Magnification Control in Self-Organizing Maps and Neural Gas. Neural Computation 18(2): 446-469 (2006)
45		Thomas Villmann, Frank-Michael Schleif, Barbara Hammer: Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks 19(5): 610-622 (2006)
44		Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann: Batch and median neural gas. Neural Networks 19(6-7): 762-771 (2006)
43		Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann: Fuzzy classification by fuzzy labeled neural gas. Neural Networks 19(6-7): 772-779 (2006)
42		Thomas Villmann, Frank-Michael Schleif, Barbara Hammer: Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69(16-18): 2425-2428 (2006)
41		Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer: Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing 69(7-9): 651-659 (2006)
	2005
40		Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann: Relevance learning for mental disease classification. ESANN 2005: 139-144
39		Barbara Hammer, Thomas Villmann: Classification using non-standard metrics. ESANN 2005: 303-316
38		Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann: Generalized Relevance LVQ with Correlation Measures for Biological Data. ESANN 2005: 331-338
37		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. WILF 2005: 290-296
36		Barbara Hammer, Marc Strickert, Thomas Villmann: Supervised Neural Gas with General Similarity Measure. Neural Processing Letters 21(1): 21-44 (2005)
35		Barbara Hammer, Marc Strickert, Thomas Villmann: On the Generalization Ability of GRLVQ Networks. Neural Processing Letters 21(2): 109-120 (2005)
34		Marie Cottrell, Barbara Hammer, Thomas Villmann: New Aspects in Neurocomputing. Neurocomputing 63: 1-3 (2005)
33		Jens Christian Claussen, Thomas Villmann: Magnification control in winner relaxing neural gas. Neurocomputing 63: 125-137 (2005)
32		Jochen J. Steil, Gavin C. Cawley, Thomas Villmann: Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (2005)
	2004
31		Thomas Villmann, Udo Seiffert, Axel Wismüller: Theory and applications of neural maps. ESANN 2004: 25-38
30		Barbara Hammer, Marc Strickert, Thomas Villmann: Relevance LVQ versus SVM. ICAISC 2004: 592-597
29		Thomas Villmann: Special issue on new aspects in neurocomputing. Neurocomputing 57: 1-2 (2004)
28		Thomas Villmann, Beate Villmann, Volker Slowik: Evolutionary algorithms with neighborhood cooperativeness according to neural maps. Neurocomputing 57: 151-169 (2004)
	2003
27		Barbara Hammer, Thomas Villmann: Mathematical Aspects of Neural Networks. ESANN 2003: 59-72
26		Jens Christian Claussen, Thomas Villmann: Magnification Control in Winner Relaxing Neural Gas. ESANN 2003: 93-98
25		Thomas Villmann, Erzsébet Merényi, Barbara Hammer: Neural maps in remote sensing image analysis. Neural Networks 16(3-4): 389-403 (2003)
	2002
24		Axel Wismüller, Thomas Villmann: Exploratory Data Analysis in Medicine and Bioinformatics. ESANN 2002: 25-38
23		Barbara Hammer, Thomas Villmann: Batch-RLVQ. ESANN 2002: 295-300
22		Barbara Hammer, Marc Strickert, Thomas Villmann: Learning Vector Quantization for Multimodal Data. ICANN 2002: 370-376
21		Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann: Rule Extraction from Self-Organizing Networks. ICANN 2002: 877-883
20		Jutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell: Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach. PPSN 2002: 391-400
19		Barbara Hammer, Thomas Villmann: Generalized relevance learning vector quantization. Neural Networks 15(8-9): 1059-1068 (2002)
18		Thomas Villmann: Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications. Neurocomputing 48(1-4): 229-250 (2002)
	2001
17		Thomas Villmann: Evolutionary algorithms and neural networks in hybrid systems. ESANN 2001: 137-152
16		Barbara Hammer, Thomas Villmann: Input pruning for neural gas architectures. ESANN 2001: 283-288
15		Thomas Villmann, Conny Albani: Clustering of Categoric Data in Medicine - Application of Evolutionary Algorithms. Fuzzy Days 2001: 619-627
	2000
14		Thomas Villmann: Neural networks approaches in medicine - a review of actual developments. ESANN 2000: 165-176
13		Thomas Villmann, R. Haupt, Klaus Hering: Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design. IJCNN (5) 2000: 167-172
12		Thomas Villmann, Wieland Hermann, Michael Geyer: Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps. ISMDA 2000: 138-151
	1999
11		Thomas Villmann: Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing. ESANN 1999: 111-116
10		Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann: Neural maps and topographic vector quantization. Neural Networks 12(4-5): 659-676 (1999)
	1998
9		Thomas Villmann, J. Michael Herrmann: Magnification control in neural maps. ESANN 1998: 191-196
8		Thomas Villmann, A. Körner, Conny Albani: Evolutionary Algorithms with Self-Organizing Population Dynamic for Clustering of Categories in Psychotherapy Research Using Large Clinical Data Sets. NC 1998: 130-136
7		Thomas Villmann, Hans-Ulrich Bauer: Applications of the growing self-organizing map. Neurocomputing 21(1-3): 91-100 (1998)
	1997
6		J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann: Measuring topology preservation in maps of real-world data. ESANN 1997
5		Thomas Villmann, Beate Villmann, Conny Albani: Application of Evolutionary Algorithms to the Problem of New Clustering of Psychological Categories Using Real Clinical Data Sets. Fuzzy Days 1997: 311-320
4		J. Michael Herrmann, Thomas Villmann: Vector Quantization by Optimal Neural Gas. ICANN 1997: 625-630
	1996
3		Klaus Hering, R. Haupt, Thomas Villmann: Hierarchical Strategy of Model Partitioning for VLSI-Design Using an Improved Mixture of Experts Approach. Workshop on Parallel and Distributed Simulation 1996: 106-113
	1994
2		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
	1993
1		Ralf Der, Thomas Villmann: Dynamics of Self-Organized Feature Mapping. IWANN 1993: 312-315

Coauthor Index

1	Conny Albani	[5] [8] [15]
2	Cornelia Albani	[48]
3	Hans-Ulrich Bauer	[6] [7] [10]
4	Michael Biehl	[61] [62] [69] [74] [80] [85]
5	Felix Bollenbeck	[50]
6	Cornelia Brüß	[50] [55] [68]
7	Gavin C. Cawley	[32]
8	Jens Christian Claussen	[26] [33] [46]
9	Marie Cottrell	[34] [44] [47]
10	André M. Deelder	[72]
11	Ralf Der	[1] [2]
12	Thomas Elssner	[53]
13	Tom Fischer	[47]
14	Alexander Gammerman (Alex J. Gammerman)	[81]
15	Tina Geweniger	[43] [47] [55] [73] [76] [82]
16	Michael Geyer	[12]
17	Barbara Hammer	[16] [19] [21] [22] [23] [25] [27] [30] [34] [35] [36] [37] [39] [40] [41] [42] [43] [44] [45] [47] [48] [49] [51] [52] [53] [54] [55] [56] [57] [58] [60] [61] [62] [63] [64] [65] [66] [67] [69] [70] [71] [72] [73] [76] [79] [80] [81] [82] [83]
18	Alexander Hasenfuss (Alexander Hasenfuß)	[44] [49] [56] [57] [64] [66] [73] [76]
19	R. Haupt	[3] [13]
20	Klaus Hering	[3] [13]
21	Wieland Hermann	[12] [43] [48]
22	J. Michael Herrmann	[2] [4] [6] [9] [10]
23	Jutta Huhse	[20]
24	Abha Jain	[59]
25	Samuel Kaski	[52]
26	Jens Keilwagen	[80] [85]
27	A. Körner	[8]
28	Markus Kostrzewa	[53] [71] [81] [84]
29	Thomas Martinetz	[2]
30	Erzsébet Merényi	[25] [59] [63] [75]
31	Peter Merz	[20]
32	Matthias Ongyerth	[78]
33	Andreas Rechtien	[21] [40]
34	Frank-Michael Schleif	[37] [42] [43] [45] [47] [48] [50] [51] [53] [55] [56] [58] [60] [63] [64] [65] [66] [68] [70] [71] [72] [73] [74] [77] [78] [81] [84] [85]
35	Petra Schneider	[74] [80]
36	Udo Seiffert	[31] [38] [41] [50] [52] [54] [55] [66] [68] [75]
37	Stephan Simmuteit	[84]
38	Volker Slowik	[28]
39	Nese Sreenivasulu	[38] [41] [79]
40	Jochen J. Steil	[32]
41	Marc Strickert	[21] [22] [30] [35] [36] [38] [40] [41] [66] [68] [77] [79] [80] [85]
42	Rob A. E. M. Tollenaar	[72]
43	Michel Verleysen	[61] [62] [69]
44	Beate Villmann	[5] [28]
45	Axel Walch	[71]
46	Martijn van der Werff	[72]
47	Winfriede Weschke	[38] [41] [50]
48	Axel Wismüller	[24] [31]
49	Andreas Zell	[20]
50	D. Zühlke	[82]

Colors in the list of coauthors