Tim Kovacs

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James A. R. MarshallProfessor of Theoretical & Computational Biology, University of SheffieldVerified email at sheffield.ac.uk
Nigel R. FranksEmeritus Professor, University of BristolVerified email at bristol.ac.uk
Pier Luca LanziPolitecnico di MilanoVerified email at polimi.it
Robert PlanqueAssociate Prof, Dept of Mathematics, Vrije Universiteit AmsterdamVerified email at vu.nl
Masaya NakataYokohama National UniversityVerified email at ynu.ac.jp
Anna DornhausEcology and Evolutionary Biology, University of ArizonaVerified email at email.arizona.edu
Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Manfred KerberUniversity of BirminghamVerified email at cs.bham.ac.uk
Larry BullUniversity of the West of EnglandVerified email at uwe.ac.uk
Hiroyuki SatoThe University of Electro-communicationsVerified email at uec.ac.jp
Gavin BrownProfessor of Machine Learning, Dept of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Takato Tatsumi電気通信大学Verified email at uec.ac.jp
Rafal BogaczMRC Brain Network Dynamics Unit at the University of OxfordVerified email at ndcn.ox.ac.uk
Narayanan U EdakunniUniversity of ManchesterVerified email at cs.man.ac.uk
Kamran ShafiHead of Data ScienceVerified email at addo.ai
Hussein A. AbbassFellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South WalesVerified email at adfa.edu.au
Zengchang QinBeihang UniversityVerified email at buaa.edu.cn
François-Xavier Dechaume-Monchar...Professor of ecology, university Claude-Bernard Lyon 1Verified email at univ-lyon1.fr
Prof. Julian GoughMRC Laboratory of Molecular Biology, CambridgeVerified email at mrc-lmb.cam.ac.uk
Andy J. WillsSchool of Psychology, University of PlymouthVerified email at plymouth.ac.uk

Tim Kovacs

University of Bristol

Verified email at bristol.ac.uk - Homepage

Artificial Intelligence Machine Learning


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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	284	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	261	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	182	1998
Evolving optimal populations with xcs classifier systems T Kovacs Master's thesis, School of Computer Science, University of Birmingham …, 1996	144	1996
Foundations of learning classifier systems: An introduction L Bull, T Kovacs Foundations of Learning Classifier Systems, 1-17, 2005	137	2005
Strength or accuracy: credit assignment in learning classifier systems T Kovacs Springer Science & Business Media, 2012	119	2012
Strength or accuracy? Fitness calculation in learning classifier systems T Kovacs Learning Classifier Systems: From Foundations to Applications, 143-160, 2000	119	2000
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	106	2001
Deletion schemes for classifier systems T Kovacs Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999	106	1999
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	92	2006
What makes a problem hard for XCS? T Kovacs, M Kerber International Workshop on Learning Classifier Systems, 80-99, 2000	77	2000
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	54	1993
Intrusion detection with evolutionary learning classifier systems K Shafi, T Kovacs, HA Abbass, W Zhu Natural Computing 8, 3-27, 2009	52	2009
Towards a theory of strong overgeneral classifiers T Kovacs Foundations of Genetic Algorithms 6, 165-184, 2001	51	2001
Genetics-Based Machine Learning. T Kovacs Handbook of natural computing, 937-986, 2012	43	2012
A Comparison of Strength and Accuracy-based Fitness in Learning and Classifier Systems TMD Kovacs University of Birmingham, 2002	40	2002
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	39	2016
TreeVector: scalable, interactive, phylogenetic trees for the web R Pethica, G Barker, T Kovacs, J Gough PLoS One 5 (1), e8934, 2010	38	2010
Determination of minimum sample size to estimate diet diversity in anuran species T Kovács, J Török Herpetological Journal 7, 43-48, 1997	35	1997
What should a classifier system learn and how should we measure it? T Kovacs Soft Computing 6, 171-182, 2002	32	2002

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