Gregory Provan

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Citations	3127	620
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Co-authors

Alexander FeldmanPARCVerified email at llama.gs
Arjan van GemundProfessor (em.) Embedded Software, Delft University of TechnologyVerified email at tudelft.nl
Menouer BoubekeurPrincipal Investigator, UTRCVerified email at utrc.utc.com
Jun WangFujitsu Laboratories of America, Inc.Verified email at fla.fujitsu.com
Blackford MiddletonChief Informatics and Innovation Officer, Apervita, Inc.Verified email at apervita.com
Johan de KleerPARCVerified email at parc.com
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Cian O'MathunaTyndall National Institute & University College Cork & IrelandVerified email at Tyndall.ie
Kenneth N. BrownInsight Centre for Data Analytics, School of Computer Science and IT, University College CorkVerified email at cs.ucc.ie
Meir KalechBen-Gurion UniversityVerified email at bgu.ac.il
Conor RyanUniversity of LimerickVerified email at ul.ie
Pavel (Pasha) BaranovProfessor of Biomolecular Informatics, University College Cork, IrelandVerified email at ucc.ie
Barry O'SullivanSchool of Computer Science & IT, University College Cork, IrelandVerified email at cs.ucc.ie
Pat LangleyDirector, ISLE; Professor of Computer Science, University of AucklandVerified email at cs.auckland.ac.nz
Joern PloennigsIBM Research, Smarter City Technology CentreVerified email at ie.ibm.com
Ronald A RensinkAssociate Professor of Computer Science and Psychology, UBCVerified email at cs.ubc.ca
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringVerified email at vanderbilt.edu
Padhraic SmythProfessor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevVerified email at bgu.ac.il
Igor RazgonLecturer, Department of Computer Science and Information Systems, Birkbeck, University of LondonVerified email at dcs.bbk.ac.uk

Gregory Provan

Professor of Computer Science, University College Cork

Verified email at cs.ucc.ie

Artificial Intelligence Machine Learning Control Diagnosis Complex Systems


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Knowledge engineering for large belief networks M Pradhan, G Provan, B Middleton, M Henrion Uncertainty Proceedings 1994, 484-490, 1994	241	1994
The sensitivity of belief networks to imprecise probabilities: an experimental investigation M Pradhan, M Henrion, G Provan, B Del Favero, K Huang Artificial intelligence 85 (1-2), 363-397, 1996	164	1996
Efficient learning of selective Bayesian network classifiers M Singh, GM Provan	136	1995
Distributed maintenance system based on causal networks GM Provan, CJ Sitter US Patent 6,208,955, 2001	114	2001
Why is diagnosis using belief networks insensitive to imprecision in probabilities? M Henrion, M Pradhan, B Del Favero, K Huang, GM Provan, P O'Rorke arXiv preprint arXiv:1302.3582, 2013	94	2013
A logic-based analysis of Dempster-Shafer theory GM Provan International Journal of Approximate Reasoning 4 (5-6), 451-495, 1990	93	1990
Modeling and diagnosis of timed discrete event systems-a factory automation example YL Chen, G Provan Proceedings of the 1997 American Control Conference (Cat. No. 97CH36041) 1 …, 1997	86	1997
Embedded diagnostic system and method G Provan, A Darwiche US Patent 6,539,337, 2003	81	2003
Exploring the duality in conflict-directed model-based diagnosis R Stern, M Kalech, A Feldman, G Provan Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012	79	2012
Exploiting system structure in model-based diagnosis of discrete-event systems A Darwiche, G Provan Proc. 7th Intl. Workshop on Principles of Diagnosis 95105, 1996	74	1996
Dynamic network construction and updating techniques for the diagnosis of acute abdominal pain GM Provan, JR Clarke IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (3), 299-307, 1993	70	1993
Query DAGs: A practical paradigm for implementing belief-network inference A Darwiche, G Provan Journal of Artificial Intelligence Research 6, 147-176, 1997	64	1997
Learning Bayesian networks using feature selection GM Provan, M Singh Learning from Data, 291-300, 1996	63	1996
Learning Bayesian networks using feature selection GM Provan, M Singh Learning from Data, 291-300, 1996	63	1996
Approximate model-based diagnosis using greedy stochastic search A Feldman, G Provan, A Van Gemund Journal of Artificial Intelligence Research 38, 371-413, 2010	62	2010
Computing Minimal Diagnoses by Greedy Stochastic Search. A Feldman, GM Provan, AJC Van Gemund AAAI 8, 911-918, 2008	62	2008
Integrated stoichiometric, thermodynamic and kinetic modelling of steady state metabolism RMT Fleming, I Thiele, G Provan, HP Nasheuer Journal of theoretical biology 264 (3), 683-692, 2010	60	2010
A comparison of induction algorithms for selective and non-selective Bayesian classifiers M Singh, GM Provan Machine Learning Proceedings 1995, 497-505, 1995	59	1995
Tradeoffs in constructing and evaluating temporal influence diagrams GM Provan Uncertainty in Artificial Intelligence, 40-47, 1993	53	1993
Stochastic model predictive controller for the integration of building use and temperature regulation AED Mady, G Provan, C Ryan, K Brown Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011	51	2011

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