Katsumi Inoue

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Chiaki SakamaWakayama UniversityVerified email at sys.wakayama-u.ac.jp
Tony RibeiroPostdoc, Laboratoire des Sciences du Numérique de NantesVerified email at ls2n.fr
Nicolas SchwindNational Institute of Advanced Industrial Science and TechnologyVerified email at aist.go.jp
Morgan MagninProfessor of Computer Science, LS2N, École Centrale de Nantes, National Institute of InformaticsVerified email at ec-nantes.fr
Takehide SohKobe UniversityVerified email at lion.kobe-u.ac.jp
Gauvain BourgneMaitre de conference en informatique, Sorbonne UniversitéVerified email at lip6.fr
Mutsunori BanbaraNagoya UniversityVerified email at nagoya-u.jp
Taisuke SatoAIST/NIIVerified email at aist.go.jp
Naoyuki TamuraInformation Science and Technology Center, Kobe UniversityVerified email at kobe-u.ac.jp
Maxime CLEMENTAscent RoboticsVerified email at ascent.ai
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Sébastien KoniecznyCNRSVerified email at cril.fr
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Masakazu IshihataNTT Communication Science LaboratoriesVerified email at hco.ntt.co.jp
Yoshitaka KameyaMeijo UniversityVerified email at meijo-u.ac.jp
Torsten SchaubUniversity of PotsdamVerified email at cs.uni-potsdam.de
alessandra russoProfessor in Applied Computational LogicVerified email at imperial.ac.uk
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Ivan BratkoProfessor of Computer Science, University of LjubljanaVerified email at fri.uni-lj.si

Katsumi Inoue

National Institute of Informatics / SOKENDAI / Tokyo Institute of Technology

Verified email at nii.ac.jp - Homepage

Artificial Intelligence Knowledge Representation and Reasoning Machine Learning Inductive Logic Programming Resilience


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Linear resolution for consequence finding K Inoue Artificial Intelligence 56 (2-3), 301-353, 1992	264	1992
Prioritized logic programming and its application to commonsense reasoning C Sakama, K Inoue Artificial Intelligence 123 (1-2), 185-222, 2000	176	2000
ILP turns 20 S Muggleton, L De Raedt, D Poole, I Bratko, P Flach, K Inoue, ... Machine learning 86 (1), 3-23, 2012	146	2012
Negation as failure in the head K Inoue, C Sakama The Journal of Logic Programming 35 (1), 39-78, 1998	128	1998
Embedding negation as failure into a model generation theorem prover K Inoue, M Koshimura, R Hasegawa CADE-11: International Conference on Automated Deduction 1992, Lecture Notes …, 1992	114	1992
Abductive Framework for Nonmonotonic Theory Change. K Inoue, C Sakama IJCAI 1995, 204-210, 1995	108	1995
Induction as consequence finding K Inoue Machine Learning 55 (2), 109-135, 2004	98	2004
Paraconsistent stable semantics for extended disjunctive programs C Sakama, K Inoue Journal of Logic and Computation 5 (3), 265-285, 1995	98	1995
An alternative approach to the semantics of disjunctive logic programs and deductive databases C Sakama, K Inoue Journal of automated reasoning 13 (1), 145-172, 1994	98	1994
Updating extended logic programs through abduction C Sakama, K Inoue International Conference on Logic Programming and Nonmonotonic Reasoning …, 1999	93	1999
An abductive framework for computing knowledge base updates C Sakama, K Inoue Theory and Practice of Logic Programming 3 (6), 671-715, 2003	92	2003
Representing Priorities in Logic Programs. C Sakama, K Inoue JICSLP, 82-96, 1996	79	1996
SATソルバーの基礎 (<特集> 最近のSAT技術の発展) 田村直之井上克巳，人工知能学会誌 25 (1), 57 - 67, 2010	73*	2010
Learning revised models for planning in adaptive systems D Sykes, D Corapi, J Magee, J Kramer, A Russo, K Inoue 2013 35th International Conference on Software Engineering (ICSE), 63-71, 2013	71	2013
SOLAR: An automated deduction system for consequence finding H Nabeshima, K Iwanuma, K Inoue, O Ray AI communications 23 (2-3), 183-203, 2010	70	2010
Extended logic programs with default assumptions K Inoue Proc. 8th Int. Conf. Logic Programming, 490-504, 1991	70	1991
Learning from interpretation transition K Inoue, T Ribeiro, C Sakama Machine Learning 94 (1), 51-79, 2014	69	2014
A fixpoint characterization of abductive logic programs K Inoue, C Sakama The Journal of logic programming 27 (2), 107-136, 1996	68	1996
Generating combinatorial test cases by efficient SAT encodings suitable for CDCL SAT solvers M Banbara, H Matsunaka, N Tamura, K Inoue International Conference on Logic for Programming Artificial Intelligence …, 2010	64	2010
Logic programming for Boolean networks K Inoue IJCAI 2011: Proceedings of the 22nd International Joint Conference on …, 2011	61	2011

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