Frank-Michael Schleif

	2012
67		Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu: White Box Classification of Dissimilarity Data. HAIS (1) 2012: 309-321
66		Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012)
	2011
65		Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu: Accelerating kernel clustering for biomedical data analysis. CIBCB 2011: 154-161
64		Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann: Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. ESANN 2011
63		Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann: Multivariate class labeling in Robust Soft LVQ. ESANN 2011
62		Udo Seiffert, Frank-Michael Schleif, Dietlind Zühlke: Recent trends in computational intelligence in life sciences. ESANN 2011
61		Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer: Accelerating Kernel Neural Gas. ICANN (1) 2011: 150-158
60		Barbara Hammer, Frank-Michael Schleif, Xibin Zhu: Relational Extensions of Learning Vector Quantization. ICONIP (2) 2011: 481-489
59		Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu: Prototype-Based Classification of Dissimilarity Data. IDA 2011: 185-197
58		Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer: Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. IDEAL 2011: 25-33
57		Frank-Michael Schleif: Sparse kernelized vector quantization with local dependencies. IJCNN 2011: 1538-1545
56		Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu: Topographic Mapping of Dissimilarity Data. WSOM 2011: 1-15
55		Frank-Michael Schleif, T. Riemer, U. Börner, L. Schnapka-Hille, M. Cross: Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications. Bioinformatics 27(4): 524-533 (2011)
54		Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer: Supervised learning of short and high-dimensional temporal sequences for life science measurements CoRR abs/1110.2416: (2011)
53		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider: Efficient Kernelized Prototype Based Classification. Int. J. Neural Syst. 21(6): 443-457 (2011)
52		John A. Lee, Frank-Michael Schleif, Thomas Martinetz: Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing 74(9): 1299-1300 (2011)
51		Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl: Divergence-based classification in learning vector quantization. Neurocomputing 74(9): 1429-1435 (2011)
	2010
50		Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl: The Mathematics of Divergence Based Online Learning in Vector Quantization. ANNPR 2010: 108-119
49		Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl: Divergence based Learning Vector Quantization. ESANN 2010
48		Dietlind Zühlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann: Learning vector quantization for heterogeneous structured data. ESANN 2010
47		Thomas Villmann, Frank-Michael Schleif, Barbara Hammer: Sparse representation of data. ESANN 2010
46		Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer: Divergence Based Online Learning in Vector Quantization. ICAISC (1) 2010: 479-486
45		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl: Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL 2010: 21-28
44		Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowl. Inf. Syst. 25(2): 327-343 (2010)
43		Cecilio Angulo, John A. Lee, Frank-Michael Schleif: Advances in computational intelligence and learning (ESANN 2009). Neurocomputing 73(7-9): 1049-1050 (2010)
	2009
42		Frank-Michael Schleif, Thomas Villmann: Neural Maps and Learning Vector Quantization - Theory and Applications. ESANN 2009
41		Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner: Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure. ICMLA 2009: 563-567
40		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
39		Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert: Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-Based Clustering 2009: 70-91
38		Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa: Hierarchical PCA Using Tree-SOM for the Identification of Bacteria. WSOM 2009: 272-280
37		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Prototype Based Classification in Bioinformatics. Encyclopedia of Artificial Intelligence 2009: 1337-1342
36		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)
35		Frank-Michael Schleif, Thomas Villmann, Matthias Ongyerth: Supervised data analysis and reliability estimation with exemplary application for spectral data. Neurocomputing 72(16-18): 3590-3601 (2009)
34		Frank-Michael Schleif, Michael Biehl, Alfredo Vellido: Advances in machine learning and computational intelligence. Neurocomputing 72(7-9): 1377-1378 (2009)
	2008
33		Frank-Michael Schleif, Matthias Ongyerth, Thomas Villmann: Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy. CBMS 2008: 620-625
32		Marc Strickert, Frank-Michael Schleif, Thomas Villmann: Metric adaptation for supervised attribute rating. ESANN 2008: 31-36
31		Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456
30		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
29		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
28		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)
27		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Prototype based fuzzy classification in clinical proteomics. Int. J. Approx. Reasoning 47(1): 4-16 (2008)
26		Marc Strickert, Frank-Michael Schleif, Udo Seiffert, Thomas Villmann: Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 12(37): 37-44 (2008)
	2007
25		Marc Gerhard, Soren-Oliver Deininger, Frank-Michael Schleif: Statistical Classification and Visualization of MALDI-Imaging Data. CBMS 2007: 403-405
24		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
23		Thomas Villmann, Frank-Michael Schleif, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar: Association Learning in SOMs for Fuzzy-Classification. ICMLA 2007: 581-586
22		Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert: Intuitive Clustering of Biological Data. IJCNN 2007: 1877-1882
21		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
20		Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann: Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes. IWANN 2007: 539-546
19		Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer: Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN 2007: 556-563
18		Frank-Michael Schleif: Advances in pre-processing and model generation for mass spectrometric data analysis. Similarity-based Clustering and its Application to Medicine and Biology 2007
17		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps. WILF 2007: 563-570
16		Frank-Michael Schleif: Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik. KI 21(4): 65-67 (2007)
15		Frank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin-based active learning for LVQ networks. Neurocomputing 70(7-9): 1215-1224 (2007)
	2006
14		Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann: Supervised Batch Neural Gas. ANNPR 2006: 33-45
13		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
12		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
11		Frank-Michael Schleif, Barbara Hammer, Thomas Villmann: Margin based Active Learning for LVQ Networks. ESANN 2006: 539-544
10		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
9		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
8		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
7		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)
6		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)
5		Thomas Villmann, Frank-Michael Schleif, Barbara Hammer: Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69(16-18): 2425-2428 (2006)
4		Frank-Michael Schleif: Prototype based machine learning for clinical proteomics. Universität Clausthal 2006: 1-133
	2005
3		Thomas Villmann, Frank-Michael Schleif, Barbara Hammer: Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning. ICMLA 2005
2		Frank-Michael Schleif, Thomas Villmann, Barbara Hammer: Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. WILF 2005: 290-296
	2004
1		Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer: Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data. ICMLA 2004: 374-379

Coauthor Index

1	Jennifer R. Aduwo	[51]
2	Cornelia Albani	[9]
3	Cecilio Angulo (Cecilio Angulo Bahón)	[43]
4	Michael Biehl	[31] [34] [40] [45] [49] [50] [51] [63] [66]
5	Felix Bollenbeck	[10]
6	U. Börner	[55]
7	Cornelia Brüß	[10] [13] [24]
8	Kerstin Bunte	[64] [66]
9	U. Clauss	[1]
10	Marie Cottrell	[8]
11	M. Cross	[55]
12	André M. Deelder	[23] [29]
13	Soren-Oliver Deininger	[25]
14	Thomas Elssner	[12] [41]
15	Tom Fischer	[8]
16	Alexander Gammerman (Alex J. Gammerman)	[36]
17	Marc Gerhard	[25]
18	Tina Geweniger	[6] [8] [13] [30] [48] [63]
19	Andrej Gisbrecht	[54] [56] [58] [61] [65]
20	Sven Haase	[46] [48] [49] [50] [51] [64]
21	Barbara Hammer	[1] [2] [3] [5] [6] [7] [8] [9] [11] [12] [13] [14] [15] [17] [19] [20] [21] [22] [27] [28] [29] [30] [36] [37] [44] [45] [46] [47] [50] [53] [54] [56] [58] [59] [60] [61] [65] [66] [67]
22	Alexander Hasenfuss (Alexander Hasenfuß)	[14] [20] [22] [30] [56]
23	Wieland Hermann	[6] [9]
24	Jens Keilwagen	[40]
25	Markus Kostrzewa	[12] [28] [36] [38]
26	John A. Lee	[43] [52]
27	Thomas Martinetz	[52]
28	Erzsébet Merényi	[19]
29	Bassam Mokbel	[56] [59] [67]
30	Ernest Mwebaze	[49] [51]
31	Matthias Ongyerth	[33] [35]
32	John A. Quinn (John Alexander Quinn)	[51]
33	T. Riemer	[55]
34	L. Schnapka-Hille	[55]
35	Petra Schneider	[31] [45] [49] [51] [53] [63] [66]
36	Udo Seiffert	[10] [13] [22] [24] [26] [39] [62]
37	Stephan Simmuteit	[38] [41] [44]
38	Marc Strickert	[22] [24] [26] [32] [39] [40]
39	Rob A. E. M. Tollenaar	[23] [29]
40	Alfredo Vellido	[34]
41	Thomas Villmann	[1] [2] [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [17] [19] [20] [21] [22] [23] [24] [26] [27] [28] [29] [30] [31] [32] [33] [35] [36] [37] [38] [39] [40] [41] [42] [44] [45] [46] [47] [48] [49] [50] [51] [53] [63] [64] [66]
42	Axel Walch	[28]
43	Martijn van der Werff	[23] [29]
44	Winfriede Weschke	[10]
45	Xibin Zhu	[56] [58] [59] [60] [65] [67]
46	Dietlind Zühlke	[48] [62]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page