Stephen Muggleton

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Alireza Tamaddoni-NezhadReader (Associate Professor), University of SurreyVerified email at surrey.ac.uk
Ross D. KingProfessor of Machine Intelligence, Chalmers UniversityVerified email at chalmers.se
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Huma LodhiThe University of WarwickVerified email at warwick.ac.uk
Ivan BratkoProfessor of Computer Science, University of LjubljanaVerified email at fri.uni-lj.si
Douglas KellUniversity of LiverpoolVerified email at liv.ac.uk
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
Marcel TurcotteProfessor (Full) at the School of Electrical Engineering and Computer Science, University of OttawaVerified email at uottawa.ca
Antonis KakasUniversity of CyprusVerified email at ucy.ac.cy
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowVerified email at cs.tu-darmstadt.de
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Katsumi InoueNational Institute of InformaticsVerified email at nii.ac.jp
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
James CussensSenior Lecturer in Computer Science, University of BristolVerified email at bristol.ac.uk
Lawrence KelleyImperial College LondonVerified email at imperial.ac.uk
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerified email at imperial.ac.uk

Stephen Muggleton

Imperial College London

Verified email at imperial.ac.uk - Homepage

Inductive Logic Programming Automation of Science Relational Learning Computational Logic Logic Programming


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Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	2429	1994
Inductive logic programming S Muggleton New generation computing 8 (4), 295-318, 1991	2391	1991
Inverse entailment and Progol S Muggleton New generation computing 13 (3), 245-286, 1995	2289	1995
Efficient induction of logic programs SH Muggleton, C Feng Turing Institute, 1990	1248	1990
Relational Data Mining SH Muggelton, J Firth Springer-Verlag, 2001	949*	2001
Functional genomic hypothesis generation and experimentation by a robot scientist RD King, KE Whelan, FM Jones, PGK Reiser, CH Bryant, SH Muggleton, ... Nature 427 (6971), 247-252, 2004	891	2004
Meta-interpretive learning of higher-order dyadic datalog: Predicate invention revisited S Muggleton, ATN Lin, Dianhuan Machine Learning 100 (1), 49-73, 2015	873*	2015
Machine invention of first-order predicates by inverting resolution S Muggleton, W Buntine Machine Learning Proceedings 1988, 339-352, 1988	803	1988
Learning structure and parameters of stochastic logic programs S Muggleton Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003	548	2003
Theories for mutagenicity: A study in first-order and feature-based induction A Srinivasan, SH Muggleton, MJE Sternberg, RD King Artificial Intelligence 85 (1-2), 277-299, 1996	459	1996
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. RD King, S Muggleton, RA Lewis, MJ Sternberg Proceedings of the national academy of sciences 89 (23), 11322-11326, 1992	389	1992
Protein secondary structure prediction using logic-based machine learning S Muggleton, RD King, MJE Stenberg Protein Engineering, Design and Selection 5 (7), 647-657, 1992	378	1992
Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming RD King, SH Muggleton, A Srinivasan, MJ Sternberg Proceedings of the National Academy of Sciences 93 (1), 438-442, 1996	361	1996
Learning from positive data S Muggleton Inductive logic programming, 358-376, 1997	352	1997
Chess revision: acquiring the rules of chess variants through FOL theory revision from examples S Muggleton, A Paes, V Santos Costa, G Zaverucha Inductive Logic Programming, 123-130, 2010	281*	2010
Mutagenesis: ILP experiments in a non-determinate biological domain A Srinivasan, S Muggleton, RD King, MJE Sternberg Proceedings of the 4th International Workshop on Inductive Logic Programming …, 1994	269	1994
Scalable acceleration of inductive logic programs A Fidjeland, W Luk, S Muggleton Field-Programmable Technology, 2002.(FPT). Proceedings. 2002 IEEE …, 2002	254*	2002
Applications of inductive logic programming I Bratko, S Muggleton Communications of the ACM 38 (11), 65-70, 1995	246	1995
Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning DA Bohan, G Caron-Lormier, S Muggleton, A Raybould, ... PloS one 6 (12), e29028, 2011	238*	2011
Duce, an oracle based approach to constructive induction S Muggleton Proceedings of the Tenth International Joint conference on Artificial …, 1987	227	1987

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