Marco Valtorta

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Mohammad Ali JavidianAssistant Professor, Appalachian State UniversityVerified email at appstate.edu
Csilla FarkasAssociate Professor of Computer Science and Engineering, South Carolina UniveristyVerified email at cec.sc.edu
Michael HuhnsProfessor of Computer Science and Engineering, University of South CarolinaVerified email at sc.edu
Moninder SinghIBM Research AIVerified email at us.ibm.com
Pooyan JamshidiAssistant Professor of Computer Science and Engineering, University of South Carolina, ex-GoogleVerified email at cse.sc.edu
Suzanne McDermottCity University of New York, Graduate School of Public Health and Health PolicyVerified email at sph.cuny.edu
Vaibhav GowadiaAmazonVerified email at amazon.com
Jirka VomlelInstitute of Information Theory and Automation, Academy of Sciences of the Czech RepublicVerified email at utia.cas.cz
Emad Alsuwat, Ph.D.Assistant Professor at Taif UniversityVerified email at tu.edu.sa
Subramani ManiFormer faculty -- UNM-Albuquerque, Vanderbilt, UW-MilwaukeeVerified email at salud.unm.edu
Biplav SrivastavaUniversity of South CarolinaVerified email at sc.edu
Hatim AlsuwatAssistant Professor at Umm Al Qura UniversityVerified email at uqu.edu.sa
Kausik LakkarajuUniversity of South CarolinaVerified email at email.sc.edu
Jiangbo DangSiemensVerified email at siemens.com
Jingshan HuangUniversity of South AlabamaVerified email at southalabama.edu
Elena StanghelliniDipartimento di EconomiaVerified email at unipg.it
Elizabeth AllmanUniversity of Alaska FairbanksVerified email at alaska.edu
John RhodesProfessor of Mathematics, University of Alaska FairbanksVerified email at alaska.edu
John ByrnesSRI InternationalVerified email at sri.com
Andrew MayerUC BerkeleyVerified email at eecs.berkeley.edu

Marco Valtorta

Professor of Computer Science, University of South Carolina

Verified email at cse.sc.edu - Homepage

Artificial Intelligence


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Pearl's calculus of intervention is complete Y Huang, M Valtorta arXiv preprint arXiv:1206.6831, 2012	291	2012
Construction of Bayesian network structures from data: A brief survey and an efficient algorithm M Singh, M Valtorta International journal of approximate reasoning 12 (2), 111-131, 1995	284	1995
An algorithm for the construction of Bayesian network structures from data M Singh, M Valtorta Uncertainty in artificial intelligence, 259-265, 1993	155	1993
The Effects of Data Quality on Machine Learning Algorithms. V Sessions, M Valtorta ICIQ 6, 485-498, 2006	140	2006
Soft Evidential Update for Probabilistic Multiagent Systems M Valtorta, YG Kim, J Vomlel International Journal of Approximate Reasoning 29 (1), 71-106, 2002	133	2002
Paid: A probabilistic agent-based intrusion detection system V Gowadia, C Farkas, M Valtorta Computers & Security 24 (7), 529-545, 2005	110	2005
Identifiability in causal bayesian networks: A sound and complete algorithm Y Huang, M Valtorta National Conference on Artificial Intelligence (AAAI) 21 (2), 1149-1154, 2006	98	2006
A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm M Valtorta International Joint Conference on Artificial Intelligence (IJCAI) 2, 777-779, 1983	73	1983
On the completeness of an identifiability algorithm for semi-Markovian models Y Huang, M Valtorta Annals of Mathematics and Artificial Intelligence 54, 363-408, 2008	43	2008
MENTOR: a bayesian model for prediction of mental retardation in newborns S Mani, S McDermott, M Valtorta Research in Developmental Disabilities 18 (5), 303-318, 1997	43	1997
A prototypical system for soft evidential update YG Kim, M Valtorta, J Vomlel Applied Intelligence 21 (1), 81-97, 2004	41	2004
Building Bayesian network models in medicine: The MENTOR experience S Mani, M Valtorta, S McDermott Applied Intelligence 22, 93-108, 2005	34	2005
On the detection of conflicts in diagnostic Bayesian networks using abstraction YG Kim, M Valtorta arXiv preprint arXiv:1302.4967, 2013	31	2013
Towards a method for data accuracy assessment utilizing a bayesian network learning algorithm V Sessions, M Valtorta Journal of Data and Information Quality (JDIQ) 1 (3), 1-34, 2009	31	2009
Building a Bayesian network model of heart disease JK Ghosh, M Valtorta Proceedings of the 38th annual on Southeast regional conference, 239-240, 2000	27	2000
The graduate course advisor: a multi-phase rule-based expert system MG Valtorta, BT Smith, DW Loveland Duke University, Department of Computer Science, 1984	27	1984
A lightweight tool for automatically extracting causal relationships from text SV Cole, MD Royal, MG Valtorta, MN Huhns, JB Bowles Proceedings of the IEEE SoutheastCon 2006, 125-129, 2006	26	2006
Extending Heuer’s analysis of competing hypotheses method to support complex decision analysis M Valtorta, J Dang, H Goradia, J Huang, M Huhns Proceedings of the International Conference on Intelligence Analysis, 2005	26	2005
A hybrid algorithm to compute marginal and joint beliefs in Bayesian networks and its complexity M Bloemeke, M Valtorta arXiv preprint arXiv:1301.7360, 2013	24	2013
Extending polynomial chaos to include interval analysis A Monti, F Ponci, M Valtorta IEEE Transactions on Instrumentation and Measurement 59 (1), 48-55, 2009	24	2009

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