Frank-Michael Schleif

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	All	Since 2016
Citations	1668	610
h-index	21	10
i10-index	54	12

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Co-authors

Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaVerified email at hs-mittweida.de
Michael BiehlUniv. of Groningen, Bernoulli Inst. for Mathematics, Computer Science and Artificial IntelligenceVerified email at rug.nl
Xibin ZhuCITEC, Center of Excellence, Bielefeld University, GermanyVerified email at techfak.uni-bielefeld.de
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Tina GewenigerWHZ Westsächsische Hochschule ZwickauVerified email at fh-zwickau.de
Bassam MokbelCITEC, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Christoph RaabUniversity of applied science Würzburg-SchweinfurtVerified email at fhws.de
Ernest Tonny MwebazeResearch ScientistVerified email at sunbird.ai
Benjamin PaassenHumboldt-University of BerlinVerified email at hu-berlin.de
Nicolai PetkovUniversity of GroningenVerified email at rug.nl
Maximilian MünchUniversity of Applied Sciences Würzburg-SchweinfurtVerified email at fhws.de
John QuinnGoogle AI Ghana, Makerere UniversityVerified email at cit.ac.ug
Mathias LindemannProfessor for Computer Software EngineeringVerified email at hs-bremerhaven.de
Peter MaassProfessor Mathematics, University of BremenVerified email at math.uni-bremen.de
Javier MonroyUniversity of MalagaVerified email at uma.es
Javier Gonzalez-JimenezProfessor, University of MalagaVerified email at uma.es
Jose Luis Blanco ClaracoAssociate Professor (Profesor Titular de Universidad), University of AlmeríaVerified email at ual.es
marie cottrellSAMM Université Paris 1 Panthéon-SorbonneVerified email at univ-paris1.fr

Frank-Michael Schleif

Professor of Computational Intelligence, UAS Würzburg-Schweinfurt

Verified email at fhws.de - Homepage

Machine learning computational intelligence structural pattern recognition kernel methods neural networks


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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	108	2012
Learning vector quantization for (dis-) similarities B Hammer, D Hofmann, FM Schleif, X Zhu Neurocomputing 131, 43-51, 2014	72	2014
Indefinite proximity learning: A review FM Schleif, P Tino Neural Computation 27 (10), 2039-2096, 2015	64	2015
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	62	2011
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	51	2008
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	45	2006
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	38	2006
Metric and non-metric proximity transformations at linear costs A Gisbrecht, FM Schleif Neurocomputing 167, 643-657, 2015	37	2015
Efficient kernelized prototype based classification FM Schleif, T Villmann, B Hammer, P Schneider International journal of neural systems 21 (06), 443-457, 2011	37	2011
Margin-based active learning for LVQ networks FM Schleif, B Hammer, T Villmann Neurocomputing 70 (7-9), 1215-1224, 2007	30	2007
Metric learning for sequences in relational LVQ B Mokbel, B Paassen, FM Schleif, B Hammer Neurocomputing 169, 306-322, 2015	28	2015
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 (4), 189-199, 2009	27	2009
Prototype based fuzzy classification in clinical proteomics FM Schleif, T Villmann, B Hammer International Journal of Approximate Reasoning 47 (1), 4-16, 2008	26	2008
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	25	2009
Data analysis of (non-) metric proximities at linear costs FM Schleif, A Gisbrecht International Workshop on Similarity-Based Pattern Recognition, 59-74, 2013	24	2013
Linear time relational prototype based learning A Gisbrecht, B Mokbel, FM Schleif, X Zhu, B Hammer International journal of neural systems 22 (05), 1250021, 2012	24	2012
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 (1), 207-220, 2016	23	2016
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	23	2015
Learning interpretable kernelized prototype-based models D Hofmann, FM Schleif, B Paaßen, B Hammer Neurocomputing 141, 84-96, 2014	22	2014
Supervised batch neural gas B Hammer, A Hasenfuss, FM Schleif, T Villmann IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 33-45, 2006	22	2006

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