Barbara Hammer

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	Tutte	Dal 2019
Citazioni	12599	5678
Indice H	50	33
i10-index	247	124

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138 articoli

31 articoli

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Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaEmail verificata su hs-mittweida.de
Michael BiehlUniversity of Groningen, Bernoulli InstituteEmail verificata su rug.nl
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-SchweinfurtEmail verificata su thws.de
Alexander SchulzTechnical Faculty, CITEC, Bielefeld UniversityEmail verificata su techfak.uni-bielefeld.de
Bassam MokbelCITEC, Bielefeld UniversityEmail verificata su techfak.uni-bielefeld.de
Heiko WersingHonda Research Institute EuropeEmail verificata su honda-ri.de
Benjamin PaassenBielefeld UniversityEmail verificata su techfak.uni-bielefeld.de
Xibin ZhuCITEC, Center of Excellence, Bielefeld University, GermanyEmail verificata su techfak.uni-bielefeld.de
Kerstin BunteRosalind Franklin Fellow at the University of GroningenEmail verificata su rug.nl
Viktor LosingCrowdStrike, ParisEmail verificata su crowdstrike.com
Alessandro SperdutiUniversity of PadovaEmail verificata su math.unipd.it
Niels PinkwartHumboldt-Universität zu Berlin & DFKIEmail verificata su informatik.hu-berlin.de
Alessio MicheliDepartment of Computer Science, University of PisaEmail verificata su di.unipi.it
Jan Philip GöpfertBielefeld UniversityEmail verificata su uni-bielefeld.de
Christina GöpfertApplied Scientist at AmazonEmail verificata su amazon.de
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKEmail verificata su cs.bham.ac.uk
Babak HosseiniPostdoctoral Researcher in Pattern Recognition in Embedded Systems, TU DortmundEmail verificata su techfak.uni-bielefeld.de
marie cottrellSAMM Université Paris 1 Panthéon-SorbonneEmail verificata su univ-paris1.fr
Pascal HitzlerLloyd T. Smith Creativity in Engineering Chair, Kansas State University, Manhattan, KansasEmail verificata su ksu.edu
David NebelCI Group MittweidaEmail verificata su hs-mittweida.de

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Barbara Hammer

Professor, Bielefeld University

Email verificata su techfak.uni-bielefeld.de

machine learning data mining neural networks bioinformatics theoretical computer science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Generalized relevance learning vector quantization B Hammer, T Villmann Neural Networks 15 (8-9), 1059-1068, 2002	576	2002
Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009	471	2009
Incremental learning algorithms and applications A Geppert, B Hammer ESANN, 2016	455	2016
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	396	2018
Parametric nonlinear dimensionality reduction using kernel t-SNE A Gisbrecht, A Schulz, B Hammer Neurocomputing 147, 71-82, 2015	280	2015
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift V Losing, B Hammer, H Wersing IEEE International Conference on Data Mining (ICDM), 2016	279	2016
Neural maps in remote sensing image analysis T Villmann, E Merényi, B Hammer Neural Networks 16 (3-4), 389-403, 2003	235	2003
Batch and median neural gas M Cottrell, B Hammer, A Hasenfuß, T Villmann Neural Networks 19 (6-7), 762-771, 2006	196	2006
Supervised neural gas with general similarity measure B Hammer, M Strickert, T Villmann Neural Processing Letters 21, 21-44, 2005	196	2005
Prototype‐based models in machine learning M Biehl, B Hammer, T Villmann Wiley Interdisciplinary Reviews: Cognitive Science 7 (2), 92-111, 2016	193	2016
On the approximation capability of recurrent neural networks B Hammer Neurocomputing 31 (1-4), 107-123, 2000	186	2000
Merge SOM for temporal data M Strickert, B Hammer Neurocomputing 64, 39-71, 2005	180	2005
Recursive self-organizing network models B Hammer, A Micheli, A Sperduti, M Strickert Neural Networks 17 (8-9), 1061-1085, 2004	171	2004
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	153	2012
Distance learning in discriminative vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (10), 2942-2969, 2009	149	2009
A note on the universal approximation capability of support vector machines B Hammer, K Gersmann neural processing letters 17, 43-53, 2003	146	2003
Dynamics and Generalization Ability of LVQ Algorithms. M Biehl, A Ghosh, B Hammer Journal of Machine Learning Research 8 (2), 2007	143	2007
A general framework for dimensionality-reducing data visualization mapping K Bunte, M Biehl, B Hammer Neural Computation 24 (3), 771-804, 2012	136	2012
A general framework for unsupervised processing of structured data B Hammer, A Micheli, A Sperduti, M Strickert Neurocomputing 57, 3-35, 2004	133	2004
Perspectives of neural-symbolic integration B Hammer, P Hitzler Springer, 2007	123	2007

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