Thomas Villmann

Citado por

	Todos	Desde 2020
Citações	8347	2047
Índice h	42	22
Índice i10	184	54

580

290

145

435

1997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202527 56 38 68 62 116 132 148 175 296 358 293 331 345 411 442 380 571 430 412 398 378 326 414 356 470 365 382 57

Acesso público

Ver todos

21 artigos

4 artigos

disponível

não disponível

Com base nas autorizações de financiamento

Coautores

Barbara HammerProfessor, Bielefeld UniversityE-mail confirmado em techfak.uni-bielefeld.de
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-SchweinfurtE-mail confirmado em thws.de
Michael BiehlUniversity of Groningen, Bernoulli InstituteE-mail confirmado em rug.nl
Marika KadenHochschule MittweidaE-mail confirmado em hs-mittweida.de
David NebelCI Group MittweidaE-mail confirmado em hs-mittweida.de
Kerstin BunteRosalind Franklin Fellow at the University of GroningenE-mail confirmado em rug.nl
Thomas MartinetzProfessor of Computer Science, University of LübeckE-mail confirmado em inb.uni-luebeck.de
J. Michael HerrmannIPAB, School of Informatics, University of EdinburghE-mail confirmado em ed.ac.uk
marie cottrellSAMM Université Paris 1 Panthéon-SorbonneE-mail confirmado em univ-paris1.fr
Swen HesseUniversität Leipzig, Molekulare Neurobildgebung IFB AdipositasErkrankungen, Klinik und PoliklinikE-mail confirmado em medizin.uni-leipzig.de
Reiner HauptFH NordhausenE-mail confirmado em fh-nordhausen.de
Sven HellbachWestsächsische Hochschule ZwickauE-mail confirmado em fh-zwickau.de
Jens Christian ClaussenSenior Lecturer, University of BirminghamE-mail confirmado em bham.ac.uk
Ernest Tonny MwebazeResearch ScientistE-mail confirmado em sunbird.ai
Alessandro SperdutiUniversity of PadovaE-mail confirmado em math.unipd.it
Andreas SchierwagenProfessor, retired - Computer Science, Leipzig UniversityE-mail confirmado em informatik.uni-leipzig.de
Fabrice RossiProfessor of Data Science, CEREMADE, Université Paris Dauphine PSLE-mail confirmado em dauphine.psl.eu
Andreas KolbComputer Science, University of SiegenE-mail confirmado em uni-siegen.de

Seguir

Thomas Villmann

Professor for Mathematics and Computational Intelligence, University of Applied Sciences Mittweida

E-mail confirmado em hs-mittweida.de

machine learning information theory pattern recognition learning vector quantization quantum computing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Generalized relevance learning vector quantization B Hammer, T Villmann Neural Networks 15 (8-9), 1059-1068, 2002	584	2002
Topology preservation in self-organizing feature maps: exact definition and measurement T Villmann, R Der, M Herrmann, TM Martinetz IEEE transactions on neural networks 8 (2), 256-266, 1997	448	1997
Neural maps in remote sensing image analysis T Villmann, E Merényi, B Hammer Neural Networks 16 (3-4), 389-403, 2003	235	2003
Serotonin and dopamine transporter imaging in patients with obsessive–compulsive disorder S Hesse, U Müller, T Lincke, H Barthel, T Villmann, MC Angermeyer, ... Psychiatry Research: Neuroimaging 140 (1), 63-72, 2005	212	2005
Prototype‐based models in machine learning M Biehl, B Hammer, T Villmann Wiley Interdisciplinary Reviews: Cognitive Science 7 (2), 92-111, 2016	204	2016
Batch and median neural gas M Cottrell, B Hammer, A Hasenfuß, T Villmann Neural Networks 19 (6-7), 762-771, 2006	204	2006
Growing a hypercubical output space in a self-organizing feature map HU Bauer, T Villmann IEEE transactions on neural networks 8 (2), 218-226, 1997	203	1997
Supervised neural gas with general similarity measure B Hammer, M Strickert, T Villmann Neural Processing Letters 21, 21-44, 2005	198	2005
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	155	2012
Neural maps and topographic vector quantization HU Bauer, M Herrmann, T Villmann Neural networks 12 (4-5), 659-676, 1999	145	1999
Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences K Bunte, S Haase, M Biehl, T Villmann Neurocomputing 90, 23-45, 2012	131	2012
Regularization in matrix relevance learning P Schneider, K Bunte, H Stiekema, B Hammer, T Villmann, M Biehl IEEE Transactions on Neural Networks 21 (5), 831-840, 2010	116	2010
On the generalization ability of GRLVQ networks B Hammer, M Strickert, T Villmann Neural Processing Letters 21, 109-120, 2005	116	2005
Divergence-based vector quantization T Villmann, S Haase Neural Computation 23 (5), 1343-1392, 2011	106	2011
The coming of age of interpretable and explainable machine learning models PJG Lisboa, S Saralajew, A Vellido, R Fernández-Domenech, T Villmann Neurocomputing 535, 25-39, 2023	102	2023
Magnification control in self-organizing maps and neural gas T Villmann, JC Claussen Neural Computation 18 (2), 446-469, 2006	102	2006
Computational aspects of inverse analyses for determining softening curves of concrete V Slowik, B Villmann, N Bretschneider, T Villmann Computer Methods in Applied Mechanics and Engineering 195 (52), 7223-7236, 2006	87	2006
Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. M Lange, D Zühlke, O Holz, T Villmann, SG Mittweida ESANN, 271-276, 2014	82	2014
Aspects in classification learning-Review of recent developments in Learning Vector Quantization M Kaden, M Lange, D Nebel, M Riedel, T Geweniger, T Villmann Foundations of Computing and Decision Sciences 39 (2), 79-105, 2014	81	2014
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	77	2011

O sistema não pode executar a operação agora. Tente novamente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações mescladas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores