Thomas Runkler

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Joao Miguel C. SousaIDMEC, Instituto Superior Técnico, Universidade de Lisboa, PortugalVerified email at tecnico.ulisboa.pt
Steffen UdluftLearning Systems, SiemensVerified email at siemens.com
James C. BezdekUniversity of Melbourne, Computer and Information SystemsVerified email at unimelb.edu.au
Carlos Augusto Santos SilvaIN+, LARSyS, IST, Universidade de LisboaVerified email at tecnico.ulisboa.pt
Rudolf KruseProfessor of Computer Science, University of MagdeburgVerified email at ovgu.de
Frank KlawonnProfessor of Biostatistics, Helmholtz Centre for Infection ResearchVerified email at helmholtz-hzi.de
Rainer PalmÖrebro University, SwedenVerified email at oru.se
Robert JohnProfessor of Operational Research and Computer Science, University of NottinghamVerified email at nottingham.ac.uk
Pankaj GuptaCo-founder, CTO & Chief Scientist at DRIMCo GmbH Munich | PhD in Machine Learning-NLPVerified email at drimco.net
Gulnar MehdiCorporate Technology at Siemens AGVerified email at siemens.com
Daniel HeinResearch Scientist, Siemens AGVerified email at siemens.com
Simon CouplandDe Montfort UniversityVerified email at dmu.ac.uk
Hinrich SchützeUniversity of MunichVerified email at cis.lmu.de
Susana VieiraDepartamento de Engenharia Mecânica, Instituto Superior Técnico, Universidade de Lisboa, Portugal.Verified email at tecnico.ulisboa.pt
Michel TokicSiemens AG, MunichVerified email at tokic.com
Sebastian BrandtSchool of Computer Science, The University of ManchesterVerified email at cs.manchester.ac.uk
Carl Henrik EkUniversity of CambridgeVerified email at cam.ac.uk
Evgeny KharlamovBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Ognjen SavkovicFree University of Bozen-BolzanoVerified email at inf.unibz.it
Guohui XiaoAssociate Professor, University of Bergen, NorwayVerified email at uib.no

Thomas Runkler

Professor of Computer Science, Siemens AG, Technische Universität München

Verified email at siemens.com

Data Mining Machine Learning Computational Intelligence Analytics


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Fuzzy cluster analysis: methods for classification, data analysis and image recognition F Höppner, F Klawonn, R Kruse, T Runkler John Wiley & Sons, 1999	2579	1999
Selection of appropriate defuzzification methods using application specific properties TA Runkler IEEE transactions on fuzzy systems 5 (1), 72-79, 1997	303	1997
Data Analytics TA Runkler Wiesbaden: Springer. doi 10, 978-3, 2012	262*	2012
Alternating cluster estimation: A new tool for clustering and function approximation TA Runkler, JC Bezdek IEEE transactions on fuzzy systems 7 (4), 377-393, 1999	214	1999
A set of axioms for defuzzification strategies towards a theory of rational defuzzification operators TA Runkler, M Glesner [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems …, 1993	166	1993
Web mining with relational clustering TA Runkler, JC Bezdek International Journal of Approximate Reasoning 32 (2-3), 217-236, 2003	161	2003
Fuzzy clustering by particle swarm optimization TA Runkler, C Katz 2006 IEEE international conference on fuzzy systems, 601-608, 2006	145	2006
Distributed supply chain management using ant colony optimization CA Silva, JMC Sousa, TA Runkler, JMGS Da Costa European Journal of Operational Research 199 (2), 349-358, 2009	111	2009
Ant colony optimization of clustering models TA Runkler International Journal of Intelligent Systems 20 (12), 1233-1251, 2005	109	2005
Rescheduling and optimization of logistic processes using GA and ACO CA Silva, JMC Sousa, TA Runkler Engineering Applications of Artificial Intelligence 21 (3), 343-352, 2008	100	2008
Two cooperative ant colonies for feature selection using fuzzy models SM Vieira, JMC Sousa, TA Runkler Expert Systems with Applications 37 (4), 2714-2723, 2010	99	2010
Using a local discovery ant algorithm for Bayesian network structure learning PC Pinto, A Nagele, M Dejori, TA Runkler, JMC Sousa IEEE transactions on evolutionary computation 13 (4), 767-779, 2009	91	2009
Neural relation extraction within and across sentence boundaries P Gupta, S Rajaram, H Schütze, T Runkler Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6513-6520, 2019	87	2019
Interpretable policies for reinforcement learning by genetic programming D Hein, S Udluft, TA Runkler Engineering Applications of Artificial Intelligence 76, 158-169, 2018	86	2018
Wasp swarm algorithm for dynamic MAX-SAT problems PC Pinto, TA Runkler, J Sousa International conference on adaptive and natural computing algorithms, 350-357, 2007	83	2007
Classification and prediction of road traffic using application-specific fuzzy clustering C Stutz, TA Runkler IEEE Transactions on Fuzzy Systems 10 (3), 297-308, 2002	73	2002
Extended defuzzification methods and their properties TA Runkler Proceedings of IEEE 5th international fuzzy systems 1, 694-700, 1996	70	1996
Current and future development in neural computation in steel processing M Schlang, B Lang, T Poppe, T Runkler, K Weinzierl Control engineering practice 9 (9), 975-986, 2001	68	2001
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies D Hein, A Hentschel, T Runkler, S Udluft Engineering Applications of Artificial Intelligence 65, 87-98, 2017	66	2017
Interval type-2 fuzzy decision making T Runkler, S Coupland, R John International Journal of Approximate Reasoning 80, 217-224, 2017	61	2017

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