Tim Kovacs

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James A. R. MarshallProfessor of Theoretical & Computational Biology, University of SheffieldAdresse e-mail validée de sheffield.ac.uk
Nigel R. FranksEmeritus Professor, University of BristolAdresse e-mail validée de bristol.ac.uk
Pier Luca LanziPolitecnico di MilanoAdresse e-mail validée de polimi.it
Masaya NakataYokohama National UniversityAdresse e-mail validée de ynu.ac.jp
Robert PlanqueAssociate Prof, Dept of Mathematics, Vrije Universiteit AmsterdamAdresse e-mail validée de vu.nl
Anna DornhausEcology and Evolutionary Biology, University of ArizonaAdresse e-mail validée de email.arizona.edu
Larry BullUniversity of the West of EnglandAdresse e-mail validée de uwe.ac.uk
Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenAdresse e-mail validée de uni-tuebingen.de
Manfred KerberUniversity of BirminghamAdresse e-mail validée de cs.bham.ac.uk
Hiroyuki SatoThe University of Electro-communicationsAdresse e-mail validée de uec.ac.jp
Takato Tatsumi電気通信大学Adresse e-mail validée de uec.ac.jp
Gavin BrownProfessor of Machine Learning, Dept of Computer Science, University of ManchesterAdresse e-mail validée de manchester.ac.uk
Rafal BogaczMRC Brain Network Dynamics Unit at the University of OxfordAdresse e-mail validée de ndcn.ox.ac.uk
Narayanan U EdakunniUniversity of ManchesterAdresse e-mail validée de cs.man.ac.uk
Kamran ShafiHead of Data ScienceAdresse e-mail validée de addo.ai
Hussein A. AbbassFellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South WalesAdresse e-mail validée de adfa.edu.au
Zengchang QinBeihang UniversityAdresse e-mail validée de buaa.edu.cn
François-Xavier Dechaume-Monchar...Professor of ecology, university Claude-Bernard Lyon 1Adresse e-mail validée de univ-lyon1.fr
Prof. Julian GoughMRC Laboratory of Molecular Biology, CambridgeAdresse e-mail validée de mrc-lmb.cam.ac.uk
Andy J. WillsSchool of Psychology, University of PlymouthAdresse e-mail validée de plymouth.ac.uk

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Tim Kovacs

University of Bristol

Adresse e-mail validée de bristol.ac.uk - Page d'accueil

Artificial Intelligence Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Toward a theory of generalization and learning in XCS MV Butz, T Kovacs, PL Lanzi, SW Wilson IEEE transactions on evolutionary computation 8 (1), 28-46, 2004	288	2004
On optimal decision-making in brains and social insect colonies JAR Marshall, R Bogacz, A Dornhaus, R Planqué, T Kovacs, NR Franks Journal of the Royal Society Interface 6, 1065-1074, 2009	267	2009
XCS classifier system reliably evolves accurate, complete, and minimal representations for Boolean functions T Kovacs Soft computing in engineering design and manufacturing, 59-68, 1998	184	1998
Evolving optimal populations with xcs classifier systems T Kovacs Master's thesis, School of Computer Science, University of Birmingham …, 1996	145	1996
Foundations of learning classifier systems: An introduction L Bull, T Kovacs Foundations of Learning Classifier Systems, 1-17, 2005	139	2005
WACCM‐D—Whole atmosphere community climate model with D‐region ion chemistry PT Verronen, ME Andersson, DR Marsh, T Kovács, JMC Plane Journal of Advances in Modeling Earth Systems 8 (2), 954-975, 2016	122	2016
Strength or accuracy? Fitness calculation in learning classifier systems T Kovacs International Workshop on Learning Classifier Systems, 143-160, 1999	121	1999
Strength or accuracy: credit assignment in learning classifier systems T Kovacs Springer Science & Business Media, 2012	117	2012
Deletion schemes for classifier systems T Kovacs Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999	109	1999
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	108	2001
Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system JAR Marshall, A Dornhaus, NR Franks, T Kovacs Journal of the Royal Society Interface 3 (7), 243-254, 2006	88	2006
What makes a problem hard for XCS? T Kovacs, M Kerber International Workshop on Learning Classifier Systems, 80-99, 2000	77	2000
Intrusion detection with evolutionary learning classifier systems K Shafi, T Kovacs, HA Abbass, W Zhu Natural Computing 8, 3-27, 2009	55	2009
Distribution of calcitonin gene-related peptide in vertebrate neuromuscular junctions: relationship to the acetylcholine receptor. B Csillik, L Tajti, T Kovacs, E Kukla, P Rakic, E Knyihár-Csillik Journal of Histochemistry & Cytochemistry 41 (10), 1547-1555, 1993	55	1993
Towards a theory of strong overgeneral classifiers T Kovacs Foundations of Genetic Algorithms 6, 165-184, 2001	52	2001
Cognitive behavior therapy for anxious and depressed youth: improving homework adherence through mobile technology P Wilansky, JM Eklund, T Milner, D Kreindler, A Cheung, T Kovacs, ... JMIR Research Protocols 5 (4), e5841, 2016	46	2016
Genetics-Based Machine Learning. T Kovacs Handbook of natural computing, 937-986, 2012	44	2012
A Comparison of Strength and Accuracy-based Fitness in Learning and Classifier Systems TMD Kovacs University of Birmingham, 2002	42	2002
TreeVector: scalable, interactive, phylogenetic trees for the web R Pethica, G Barker, T Kovacs, J Gough PLoS One 5 (1), e8934, 2010	40	2010
Determination of minimum sample size to estimate diet diversity in anuran species T Kovács, J Török Herpetological Journal 7, 43-48, 1997	36	1997

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