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Thomas Villmann Vis

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*2009
85EEMarc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. IWANN (1) 2009: 933-940
84EEStephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa: Hierarchical PCA Using Tree-SOM for the Identification of Bacteria. WSOM 2009: 272-280
83EEThomas Villmann, Barbara Hammer: Functional Principal Component Learning Using Oja's Method and Sobolev Norms. WSOM 2009: 325-333
82EETina Geweniger, D. Zühlke, Barbara Hammer, Thomas Villmann: Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. WSOM 2009: 72-79
81EEFrank-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
80EEMarc 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
78EEFrank-Michael Schleif, Matthias Ongyerth, Thomas Villmann: Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy. CBMS 2008: 620-625
77EEMarc Strickert, Frank-Michael Schleif, Thomas Villmann: Metric adaptation for supervised attribute rating. ESANN 2008: 31-36
76EEAlexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann: Magnification Control in Relational Neural Gas. ESANN 2008: 325-330
75EEThomas Villmann, Erzsébet Merényi, Udo Seiffert: Machine learning approches and pattern recognition for spectral data. ESANN 2008: 433-444
74EEPetra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456
73EETina 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
72EEFrank-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
71EEThomas 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)
70EEFrank-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
68EEThomas 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
67EEBarbara Hammer, Thomas Villmann: How to process uncertainty in machine learning?. ESANN 2007: 79-90
66EEBarbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert: Intuitive Clustering of Biological Data. IJCNN 2007: 1877-1882
65EEFrank-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
64EEAlexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann: Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes. IWANN 2007: 539-546
63EEThomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer: Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN 2007: 556-563
62EEMichael 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
61EEMichael 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
60EEFrank-Michael Schleif, Thomas Villmann, Barbara Hammer: Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps. WILF 2007: 563-570
59EEErzsébet 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)
58EEFrank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin-based active learning for LVQ networks. Neurocomputing 70(7-9): 1215-1224 (2007)
57EEBarbara Hammer, Alexander Hasenfuss, Thomas Villmann: Magnification control for batch neural gas. Neurocomputing 70(7-9): 1225-1234 (2007)
2006
56EEBarbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann: Supervised Batch Neural Gas. ANNPR 2006: 33-45
55EEThomas 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
54EEThomas Villmann, Barbara Hammer, Udo Seiffert: Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. BioADIT 2006: 141-159
53EEFrank-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
52EEUdo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann: Neural networks and machine learning in bioinformatics - theory and applications. ESANN 2006: 521-532
51EEFrank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin based Active Learning for LVQ Networks. ESANN 2006: 539-544
50EECornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert: Fuzzy image segmentation with Fuzzy Labelled Neural Gas. ESANN 2006: 563-568
49EEBarbara Hammer, Alexander Hasenfuss, Thomas Villmann: Magnification control for batch neural gas. ESANN 2006: 7-12
48EEBarbara 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
47EEThomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell: Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) 2006: 40-49
46EEThomas Villmann, Jens Christian Claussen: Magnification Control in Self-Organizing Maps and Neural Gas. Neural Computation 18(2): 446-469 (2006)
45EEThomas 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)
44EEMarie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann: Batch and median neural gas. Neural Networks 19(6-7): 762-771 (2006)
43EEThomas 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)
42EEThomas Villmann, Frank-Michael Schleif, Barbara Hammer: Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69(16-18): 2425-2428 (2006)
41EEMarc 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
40EEBarbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann: Relevance learning for mental disease classification. ESANN 2005: 139-144
39EEBarbara Hammer, Thomas Villmann: Classification using non-standard metrics. ESANN 2005: 303-316
38EEMarc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann: Generalized Relevance LVQ with Correlation Measures for Biological Data. ESANN 2005: 331-338
37EEFrank-Michael Schleif, Thomas Villmann, Barbara Hammer: Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. WILF 2005: 290-296
36EEBarbara Hammer, Marc Strickert, Thomas Villmann: Supervised Neural Gas with General Similarity Measure. Neural Processing Letters 21(1): 21-44 (2005)
35EEBarbara Hammer, Marc Strickert, Thomas Villmann: On the Generalization Ability of GRLVQ Networks. Neural Processing Letters 21(2): 109-120 (2005)
34EEMarie Cottrell, Barbara Hammer, Thomas Villmann: New Aspects in Neurocomputing. Neurocomputing 63: 1-3 (2005)
33EEJens Christian Claussen, Thomas Villmann: Magnification control in winner relaxing neural gas. Neurocomputing 63: 125-137 (2005)
32EEJochen J. Steil, Gavin C. Cawley, Thomas Villmann: Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (2005)
2004
31EEThomas Villmann, Udo Seiffert, Axel Wismüller: Theory and applications of neural maps. ESANN 2004: 25-38
30EEBarbara Hammer, Marc Strickert, Thomas Villmann: Relevance LVQ versus SVM. ICAISC 2004: 592-597
29EEThomas Villmann: Special issue on new aspects in neurocomputing. Neurocomputing 57: 1-2 (2004)
28EEThomas Villmann, Beate Villmann, Volker Slowik: Evolutionary algorithms with neighborhood cooperativeness according to neural maps. Neurocomputing 57: 151-169 (2004)
2003
27EEBarbara Hammer, Thomas Villmann: Mathematical Aspects of Neural Networks. ESANN 2003: 59-72
26EEJens Christian Claussen, Thomas Villmann: Magnification Control in Winner Relaxing Neural Gas. ESANN 2003: 93-98
25EEThomas 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
22EEBarbara Hammer, Marc Strickert, Thomas Villmann: Learning Vector Quantization for Multimodal Data. ICANN 2002: 370-376
21EEBarbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann: Rule Extraction from Self-Organizing Networks. ICANN 2002: 877-883
20EEJutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell: Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach. PPSN 2002: 391-400
19EEBarbara Hammer, Thomas Villmann: Generalized relevance learning vector quantization. Neural Networks 15(8-9): 1059-1068 (2002)
18EEThomas Villmann: Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications. Neurocomputing 48(1-4): 229-250 (2002)
2001
17EEThomas Villmann: Evolutionary algorithms and neural networks in hybrid systems. ESANN 2001: 137-152
16EEBarbara Hammer, Thomas Villmann: Input pruning for neural gas architectures. ESANN 2001: 283-288
15EEThomas Villmann, Conny Albani: Clustering of Categoric Data in Medicine - Application of Evolutionary Algorithms. Fuzzy Days 2001: 619-627
2000
14EEThomas Villmann: Neural networks approaches in medicine - a review of actual developments. ESANN 2000: 165-176
13EEThomas Villmann, R. Haupt, Klaus Hering: Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design. IJCNN (5) 2000: 167-172
12EEThomas Villmann, Wieland Hermann, Michael Geyer: Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps. ISMDA 2000: 138-151
1999
11EEThomas Villmann: Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing. ESANN 1999: 111-116
10EEHans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann: Neural maps and topographic vector quantization. Neural Networks 12(4-5): 659-676 (1999)
1998
9EEThomas 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
7EEThomas 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
3EEKlaus 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
1EERalf Der, Thomas Villmann: Dynamics of Self-Organized Feature Mapping. IWANN 1993: 312-315

Coauthor Index

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)