Marco Valtorta - researchr alias

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Viewing Publication 1 - 56 from 56

2024

Advances in automatically rating the trustworthiness of text processing servicesBiplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta. aiethics, 4(1):5-13, February 2024. [doi]

2023

The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for BiasKausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu. tpsisa 2023: 380-389 [doi]

2021

Deadlock-Free Online Plan Repair in Multi-robot Coordination with DisturbancesAdem Coskun, Jason M. O'Kane, Marco Valtorta. flairs 2021: [doi]

A decomposition-based algorithm for learning the structure of multivariate regression chain graphsMohammad Ali Javidian, Marco Valtorta. ijar, 136:66-85, 2021. [doi]

An Order-Independent Algorithm for Learning Chain GraphsMohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi. flairs 2021: [doi]

2020

2019

2018

Cyber Attacks Against the PC Learning AlgorithmEmad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas. pkdd 2019: 159-176 [doi]

Finding Minimal Separators in LWF Chain GraphsMohammad Ali Javidian, Marco Valtorta. pgm 2018: 193-200 [doi]

2012

On the combination of logical and probabilistic models for information analysisJingsong Wang, John Byrnes, Marco Valtorta, Michael N. Huhns. apin, 36(2):472-497, 2012. [doi]

Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network ClassifiersJingsong Wang, Marco Valtorta. ictai 2012: 105-113 [doi]

2011

A Framework for Integration of Logical and Probabilistic KnowledgeJingsong Wang, Marco Valtorta. AAAI 2011: 1822-1823 [doi]

2010

Agent-encapsulated Bayesian networks and the rumor problemScott Langevin, Marco Valtorta, Mark Bloemeke. atal 2010: 1553-1554 [doi]

Extending Polynomial Chaos to Include Interval AnalysisAntonello Monti, Ferdinanda Ponci, Marco Valtorta. tim, 59(1):48-55, 2010. [doi]

2009

Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning AlgorithmValerie Sessions, Marco Valtorta. jdiq, 1(3), 2009. [doi]

2008

On the completeness of an identifiability algorithm for semi-Markovian modelsYimin Huang, Marco Valtorta. AMAI, 54(4):363-408, 2008. [doi]

Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First ResultsScott Langevin, Marco Valtorta. lipari 2008: 284-297 [doi]

Identifiability in Causal Bayesian Networks: a Gentle IntroductionMarco Valtorta, Yimin Huang. cas, 39(4):425-442, 2008. [doi]

2006

Pearl's Calculus of Intervention Is CompleteYimin Huang, Marco Valtorta. uai 2006: [doi]

Identifiability in Causal Bayesian Networks: A Sound and Complete AlgorithmYimin Huang, Marco Valtorta. AAAI 2006: 1149-1154

The Effects of Data Quality on Machine Learning AlgorithmsValerie Sessions, Marco Valtorta. iq 2006: 485-498 [doi]

2005

2004

A Prototypical System for Soft Evidential UpdateYoung-Gyun Kim, Marco Valtorta, Jirí Vomlel. apin, 21(1):81-97, 2004. [doi]

Sequential And Parallel Algorithms For Causal Explanation With Background KnowledgeBhaskara Reddy Moole, Marco Valtorta. ijufks, 12(Supplement-2):101-122, 2004. [doi]

2003

Causal Explanation with Background KnowledgeBhaskara Reddy Moole, Marco Valtorta. iicai 2003: 843-856

2002

Soft evidential update for probabilistic multiagent systemsMarco Valtorta, Young-Gyun Kim, Jirí Vomlel. ijar, 29(1):71-106, 2002. [doi]

2001

Probability and AgentsMarco Valtorta, Michael N. Huhns. internet, 5(6):77-79, 2001. [doi]

2000

Building a Bayesian network model of heart diseaseJayanta K. Ghosh, Marco Valtorta. ACMse 2000: 239-240 [doi]

1998

A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its ComplexityMark Bloemeke, Marco Valtorta. uai 1998: 16-23 [doi]

1995

On the Detection of Conflicts in Diagnostic Bayesian Networks Using AbstractionYoung-Gyun Kim, Marco Valtorta. uai 1995: 362-367 [doi]

Refinement of Uncertain Rule Bases via ReductionCharles X. F. Ling, Marco Valtorta. ijar, 13(2):95-126, 1995. [doi]

Construction of Bayesian network structures from data: A brief survey and an efficient algorithmMoninder Singh, Marco Valtorta. ijar, 12(2):111-131, 1995. [doi]

1993

An Algorithm for the Construction of Bayesian Network Structures from DataMoninder Singh, Marco Valtorta. uai 1993: 259-265 [doi]

1992

1991

Revision of Reduced TheoriesXiaofeng Ling, Marco Valtorta. icml 1991: 519-523

Some results on the computational complexity of refining confidence factorsMarco Valtorta. ijar, 5(2):123-148, 1991. [doi]

Knowledge base refinement: A bibliographyMarco Valtorta. apin, 1(1):87-94, 1991. [doi]

Some heuristics cannot be derived from relaxed models (abstract only)Marco Valtorta, M. Ishaq Zahid. acm 1991: 698 [doi]

1990

More Results on the Complexity of Knowledge Base Refinement: Belief NetworksMarco Valtorta. icml 1990: 419-426

A Prototype Belief Network-Based Expert Systems ShellShijie Wang, Marco Valtorta. ieaaie 1990: 509-518 [doi]

1989

Some Results on the Complexity of Knowledge-Based RefinementMarco Valtorta. icml 1989: 326-331

1988

Automating Rule Strengths in Expert SystemsMarco Valtorta. ecai 1988: 369-371

1985

Review of "Readings in Medical Artificial Intelligence by William J. Clancey and Edward Shortliffe", Addison-Wesley Publishing Co, Reading, MAMarco Valtorta. sigart, 92:13-14, 1985. [doi]

1984

A result on the computational complexity of heuristic estimates for the A algorithmMarco Valtorta. isci, 34(1):47-59, 1984. [doi]

1983

Detecting Ambiguity: An Example in Knowledge EvaluationDonald W. Loveland, Marco Valtorta. IJCAI 1983: 182-184

A Result on the Computational Complexity of Heuristic Estimates for the A* AlgorithmMarco Valtorta. IJCAI 1983: 777-779

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