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Frank-Michael Schleif
Frank-Michael Schleif
Professor of Computational Intelligence, Technical-UAS Würzburg-Schweinfurt
Verified email at thws.de - Homepage
Title
Cited by
Cited by
Year
Limited rank matrix learning, discriminative dimension reduction and visualization
K Bunte, P Schneider, B Hammer, FM Schleif, T Villmann, M Biehl
Neural Networks 26, 159-173, 2012
1422012
Indefinite proximity learning: A review
FM Schleif, P Tino
Neural computation 27 (10), 2039-2096, 2015
1012015
Reactive soft prototype computing for concept drift streams
C Raab, M Heusinger, FM Schleif
Neurocomputing 416, 340-351, 2020
872020
Learning vector quantization for (dis-) similarities
B Hammer, D Hofmann, FM Schleif, X Zhu
Neurocomputing 131, 43-51, 2014
862014
Divergence-based classification in learning vector quantization
E Mwebaze, P Schneider, FM Schleif, JR Aduwo, JA Quinn, S Haase, ...
Neurocomputing 74 (9), 1429-1435, 2011
762011
Metric and non-metric proximity transformations at linear costs
A Gisbrecht, FM Schleif
Neurocomputing 167, 643-657, 2015
582015
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
T Villmann, FM Schleif, M Kostrzewa, A Walch, B Hammer
Briefings in Bioinformatics 9 (2), 129-143, 2008
572008
Fuzzy classification by fuzzy labeled neural gas
T Villmann, B Hammer, F Schleif, T Geweniger, W Herrmann
Neural Networks 19 (6-7), 772-779, 2006
532006
Efficient kernelized prototype based classification
FM Schleif, T Villmann, B Hammer, P Schneider
International Journal of Neural Systems 21 (06), 443-457, 2011
432011
Comparison of relevance learning vector quantization with other metric adaptive classification methods
T Villmann, F Schleif, B Hammer
Neural Networks 19 (5), 610-622, 2006
392006
Metric learning for sequences in relational LVQ
B Mokbel, B Paassen, FM Schleif, B Hammer
Neurocomputing 169, 306-322, 2015
362015
Margin-based active learning for LVQ networks
FM Schleif, B Hammer, T Villmann
Neurocomputing 70 (7-9), 1215-1224, 2007
342007
Stationarity of matrix relevance LVQ
M Biehl, B Hammer, FM Schleif, P Schneider, T Villmann
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
312015
Prototype based fuzzy classification in clinical proteomics
FM Schleif, T Villmann, B Hammer
International Journal of Approximate Reasoning 47 (1), 4-16, 2008
312008
Support vector classification of proteomic profile spectra based on feature extraction with the bi-orthogonal discrete wavelet transform
FM Schleif, M Lindemann, M Diaz, P Maaß, J Decker, T Elssner, M Kuhn, ...
Computing and Visualization in Science 12, 189-199, 2009
292009
Odor recognition in robotics applications by discriminative time-series modeling
FM Schleif, B Hammer, JG Monroy, JG Jimenez, JL Blanco-Claraco, ...
Pattern Analysis and Applications 19, 207-220, 2016
282016
Indefinite core vector machine
FM Schleif, P Tino
Pattern Recognition 71, 187-195, 2017
262017
Cancer informatics by prototype networks in mass spectrometry
FM Schleif, T Villmann, M Kostrzewa, B Hammer, A Gammerman
Artificial Intelligence in Medicine 45 (2-3), 215-228, 2009
262009
Data analysis of (non-) metric proximities at linear costs
FM Schleif, A Gisbrecht
International Workshop on Similarity-Based Pattern Recognition, 59-74, 2013
252013
Large margin linear discriminative visualization by matrix relevance learning
M Biehl, K Bunte, FM Schleif, P Schneider, T Villmann
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
252012
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