Stephen Muggleton - Google Scholar

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Ross D. KingProfessor of Machine Intelligence, Chalmers UniversityVerified email at chalmers.se
Alireza Tamaddoni-NezhadUniversity of SurreyVerified email at surrey.ac.uk
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Huma LodhiThe University of WarwickVerified email at warwick.ac.uk
Douglas KellUniversity of LiverpoolVerified email at liv.ac.uk
Ivan BratkoProfessor of Computer Science, University of LjubljanaVerified email at fri.uni-lj.si
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, TU DarmstadtVerified email at cs.tu-darmstadt.de
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
Wray BuntineProfessor, MonashVerified email at monash.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Katsumi InoueNational Institute of Informatics / SOKENDAI / Tokyo Institute of TechnologyVerified email at nii.ac.jp
Lawrence KelleyImperial College LondonVerified email at imperial.ac.uk
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerified email at imperial.ac.uk
Jeremy K NicholsonProVice Chancellor for Health and Director Australian National Phenome Center, Murdoch UniversityVerified email at murdoch.edu.au

Stephen Muggleton

Imperial College London

Verified email at imperial.ac.uk - Homepage

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Inverse entailment and Progol S Muggleton New generation computing 13 (3), 245-286, 1995	1932	1995
Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	1914	1994
Inductive logic programming S Muggleton New generation computing 8 (4), 295-318, 1991	1810	1991
Efficient induction of logic programs S Muggleton, C Feng Inductive logic programming 38, 281-298, 1992	1152	1992
Inductive logic programming S Muggleton Morgan Kaufmann, 1992	952	1992
Machine invention of first-order predicates by inverting resolution S Muggleton, W Buntine Machine Learning Proceedings 1988, 339-352, 1988	729	1988
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	589	2004
Probabilistic Inductive Logic Programming-Theory and Applications, volume 4911 of Lecture Notes in Computer Science L De Raedt, P Frasconi, K Kersting, S Muggleton Springer, 2008	528*	2008
Learning probabilistic logic models from probabilistic examples J Chen, S Muggleton, J Santos Machine learning 73 (1), 55-85, 2008	508*	2008
Stochastic logic programming S Muggleton Proceedings of the 5th International Workshop on Inductive Logic Programming, 1995	450*	1995
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	427	1996
Meta-interpretive learning of higher-order dyadic datalog: Predicate invention revisited S Muggleton, ATN Lin, Dianhuan Machine Learning 100 (1), 49-73, 2015	353*	2015
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	346	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	341	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	333	1996
Learning from positive data S Muggleton Inductive logic programming, 358-376, 1997	304	1997
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	235	1994
Applications of inductive logic programming I Bratko, S Muggleton Communications of the ACM 38 (11), 65-70, 1995	203	1995
Duce, an oracle based approach to constructive induction S Muggleton Proceedings of the Tenth International Joint conference on Artificial …, 1987	200	1987
The Application of Inductive Logic Programming to Finite-Element Mesh B Dolšak, S Muggleton Inductive logic programming, 453, 1992	186	1992

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