Barbara Hammer

Cited by

	All	Since 2016
Citations	8163	3182
h-index	43	25
i10-index	183	82

780

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Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaVerified email at hs-mittweida.de
Frank-Michael SchleifProfessor of Computational Intelligence, UAS Würzburg-SchweinfurtVerified email at fhws.de
Michael BiehlUniversity of Groningen, Bernoulli Institute, Intelligent Systems, Groningen, NLVerified email at rug.nl
Bassam MokbelCITEC, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Heiko WersingHonda Research Institute EuropeVerified email at honda-ri.de
Alexander SchulzPostdoctoral Researcher at CITEC, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Benjamin PaassenHumboldt-University of BerlinVerified email at hu-berlin.de
Xibin ZhuCITEC, Center of Excellence, Bielefeld University, GermanyVerified email at techfak.uni-bielefeld.de
Alessandro SperdutiUniversity of PadovaVerified email at math.unipd.it
Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Viktor LosingHonda Research Institute EuropeVerified email at honda-ri.de
Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
marie cottrellSAMM Université Paris 1 Panthéon-SorbonneVerified email at univ-paris1.fr
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
Niels PinkwartProfessor of Computer Science, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Christina GöpfertAssistant Researcher at Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Jan Philip GöpfertBielefeld UniversityVerified email at uni-bielefeld.de
Pascal HitzlerLloyd T. Smith Creativity in Engineering Chair, Kansas State University, Manhattan, KansasVerified email at ksu.edu
David NebelCI Group MittweidaVerified email at hs-mittweida.de
Babak HosseiniPostdoctoral Researcher in Pattern Recognition in Embedded Systems, TU DortmundVerified email at techfak.uni-bielefeld.de

Barbara Hammer

Professor, Bielefeld University

Verified email at techfak.uni-bielefeld.de

machine learning data mining neural networks bioinformatics theoretical computer science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalized relevance learning vector quantization B Hammer, T Villmann Neural Networks 15 (8-9), 1059-1068, 2002	482	2002
Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009	349	2009
Neural maps in remote sensing image analysis T Villmann, E Merényi, B Hammer Neural Networks 16 (3-4), 389-403, 2003	210	2003
Supervised neural gas with general similarity measure B Hammer, M Strickert, T Villmann Neural Processing Letters 21 (1), 21-44, 2005	172	2005
Merge SOM for temporal data M Strickert, B Hammer Neurocomputing 64, 39-71, 2005	166	2005
Incremental learning algorithms and applications A Geppert, B Hammer ESANN, 2016	164	2016
Batch and median neural gas M Cottrell, B Hammer, A Hasenfuß, T Villmann Neural Networks 19 (6-7), 762-771, 2006	161	2006
Recursive self-organizing network models B Hammer, A Micheli, A Sperduti, M Strickert Neural Networks 17 (8-9), 1061-1085, 2004	151	2004
Incremental on-line learning: A review and comparison of state of the art algorithms V Losing, B Hammer, H Wersing Neurocomputing 275, 1261-1274, 2018	148	2018
Distance learning in discriminative vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (10), 2942-2969, 2009	121	2009
Dynamics and generalization ability of LVQ algorithms M Biehl, A Ghosh, B Hammer Journal of Machine Learning Research 8 (Feb), 323-360, 2007	121	2007
A general framework for unsupervised processing of structured data B Hammer, A Micheli, A Sperduti, M Strickert Neurocomputing 57, 3-35, 2004	121	2004
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift V Losing, B Hammer, H Wersing IEEE International Conference on Data Mining (ICDM), 2016	113	2016
Parametric nonlinear dimensionality reduction using kernel t-SNE A Gisbrecht, A Schulz, B Hammer Neurocomputing 147, 71-82, 2015	113	2015
Topographic mapping of large dissimilarity data sets B Hammer, A Hasenfuss Neural Computation 22 (9), 2229-2284, 2010	113	2010
A note on the universal approximation capability of support vector machines B Hammer, K Gersmann neural processing letters 17 (1), 43-53, 2003	113	2003
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	107	2012
On the approximation capability of recurrent neural networks B Hammer Neurocomputing 31 (1-4), 107-123, 2000	106	2000
Relevance determination in Learning Vector Quantization. T Bojer, B Hammer, D Schunk, KT Von Toschanowitz ESANN, 271-276, 2001	104	2001
Perspectives of neural-symbolic integration B Hammer, P Hitzler Springer, 2007	97	2007

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