Marco Valtorta

According to our database, Marco Valtorta authored at least 64 papers between 1983 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Advances in automatically rating the trustworthiness of text processing services.

Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta

AI Ethics, February, 2024

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens.

Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta

CoRR, 2024

2023

Rating Sentiment Analysis Systems for Bias through a Causal Lens.

Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta

CoRR, 2023

The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias.

Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu

Proceedings of the 5th IEEE International Conference on Trust, 2023

2021

A decomposition-based algorithm for learning the structure of multivariate regression chain graphs.

Mohammad Ali Javidian, Marco Valtorta

Int. J. Approx. Reason., 2021

An Order-Independent Algorithm for Learning Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances.

Adem Coskun, Jason M. O'Kane, Marco Valtorta

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

J. Artif. Intell. Res., 2020

Adversarial data poisoning attacks against the PC learning algorithm.

Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas

Int. J. Gen. Syst., 2020

Learning LWF Chain Graphs: an Order Independent Algorithm.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

CoRR, 2020

On a hypergraph probabilistic graphical model.

Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta

Ann. Math. Artif. Intell., 2020

Learning LWF Chain Graphs: A Markov Blanket Discovery Approach.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis.

Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta

CoRR, 2019

Order-Independent Structure Learning of Multivariate Regression Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Modeling Concept Drift in the Context of Discrete Bayesian Networks.

Hatim Alsuwat, Emad Alsuwat, Marco Valtorta, John R. Rose, Csilla Farkas

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Detecting Adversarial Attacks in the Context of Bayesian Networks.

Emad Alsuwat, Hatim Alsuwat, John R. Rose, Marco Valtorta, Csilla Farkas

Proceedings of the Data and Applications Security and Privacy XXXIII, 2019

2018

Comment on: Decomposition of structural learning about directed acyclic graphs [1].

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

A Proof of the Front-Door Adjustment Formula.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

Structural Learning of Multivariate Regression Chain Graphs via Decomposition.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

The evolution of multivariate regression chain graphs.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

Cyber Attacks Against the PC Learning Algorithm.

Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas

Proceedings of the ECML PKDD 2018 Workshops, 2018

Finding Minimal Separators in LWF Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2012

On the combination of logical and probabilistic models for information analysis.

Jingsong Wang, John J. Byrnes, Marco Valtorta, Michael N. Huhns

Appl. Intell., 2012

Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers.

Jingsong Wang, Marco Valtorta

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

A Framework for Integration of Logical and Probabilistic Knowledge.

Jingsong Wang, Marco Valtorta

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Extending Polynomial Chaos to Include Interval Analysis.

Antonello Monti, Ferdinanda Ponci, Marco Valtorta

IEEE Trans. Instrum. Meas., 2010

Agent-encapsulated Bayesian networks and the rumor problem.

Scott Langevin, Marco Valtorta, Mark Bloemeke

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm.

Valerie Sessions, Marco Valtorta

ACM J. Data Inf. Qual., 2009

2008

Identifiability in Causal Bayesian Networks: a Gentle Introduction.

Marco Valtorta, Yimin Huang

Cybern. Syst., 2008

On the completeness of an identifiability algorithm for semi-Markovian models.

Yimin Huang, Marco Valtorta

Ann. Math. Artif. Intell., 2008

Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results.

Scott Langevin, Marco Valtorta

Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

2007

Design Principles for Ontological Support of Bayesian Evidence Management.

Michael N. Huhns, Marco G. Valtorta, Jingsong Wang

Proceedings of the Ontologies and Semantic Technologies for Intelligence [papers from the Second International Ontology for the Intelligence Community (OIC) Conference, 2007

2006

Pearl's Calculus of Intervention Is Complete.

Yimin Huang, Marco Valtorta

Proceedings of the UAI '06, 2006

The Effects of Data Quality on Machine Learning Algorithms.

Valerie Sessions, Marco Valtorta

Proceedings of the 11th International Conference on Information Quality, 2006

Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm.

Yimin Huang, Marco Valtorta

Proceedings of the Proceedings, 2006

2005

PAID: A Probabilistic Agent-Based Intrusion Detection system.

Vaibhav Gowadia, Csilla Farkas, Marco Valtorta

Comput. Secur., 2005

Building Bayesian Network Models in Medicine: The MENTOR Experience.

Subramani Mani, Marco Valtorta, Suzanne McDermott

Appl. Intell., 2005

OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services.

John Cheng, Ray Emami, Larry Kerschberg, Eugene Santos Jr., Qunhua Zhao, Hien Nguyen, Hua Wang, Michael N. Huhns, Marco Valtorta, Jiangbo Dang, Hrishikesh J. Goradia, Jingshan Huang, Sharon Xi

Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

2004

Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge.

Bhaskara Reddy Moole, Marco Valtorta

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

A Prototypical System for Soft Evidential Update.

Young-Gyun Kim, Marco Valtorta, Jirí Vomlel

Appl. Intell., 2004

2003

Causal Explanation with Background Knowledge.

Bhaskara Reddy Moole, Marco Valtorta

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

2002

Soft evidential update for probabilistic multiagent systems.

Marco Valtorta, Young-Gyun Kim, Jirí Vomlel

Int. J. Approx. Reason., 2002

2001

Probability and Agents.

Marco Valtorta, Michael N. Huhns

IEEE Internet Comput., 2001

2000

Building a Bayesian network model of heart disease.

Jayanta K. Ghosh, Marco Valtorta

Proceedings of the 38th Annual Southeast Regional Conference, 2000

1998

A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity.

Mark Bloemeke, Marco Valtorta

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1995

Construction of Bayesian network structures from data: A brief survey and an efficient algorithm.

Moninder Singh, Marco Valtorta

Int. J. Approx. Reason., 1995

Refinement of Uncertain Rule Bases via Reduction.

Charles X. F. Ling, Marco Valtorta

Int. J. Approx. Reason., 1995

On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction.

Young-Gyun Kim, Marco Valtorta

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1993

An Algorithm for the Construction of Bayesian Network Structures from Data.

Moninder Singh, Marco Valtorta

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992

On the complexity of belief network synthesis and refinement.

Marco Valtorta, Donald W. Loveland

Int. J. Approx. Reason., 1992

Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters.

Stephen D. Durham, Jeffery S. Smolka, Marco Valtorta

Int. J. Approx. Reason., 1992

A New Result on the Complexity of Heuristic Estimates for the A* Algorithm.

Othar Hansson, Andrew Mayer, Marco Valtorta

Artif. Intell., 1992

On the conversion of rule bases into belief networks.

Shijie Wang, Marco Valtorta

Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing: Technological Challenges of the 1990's, 1992

1991

Some results on the computational complexity of refining confidence factors.

Marco Valtorta

Int. J. Approx. Reason., 1991

Knowledge base refinement: A bibliography.

Marco Valtorta

Appl. Intell., 1991

Revision of Reduced Theories.

Xiaofeng Ling, Marco Valtorta

Proceedings of the Eighth International Workshop (ML91), 1991

Some heuristics cannot be derived from relaxed models (abstract only).

Marco Valtorta, M. Ishaq Zahid

Proceedings of the 19th annual conference on Computer Science, 1991

1990

A Prototype Belief Network-Based Expert Systems Shell.

Shijie Wang, Marco Valtorta

Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990

More Results on the Complexity of Knowledge Base Refinement: Belief Networks.

Marco Valtorta

Proceedings of the Machine Learning, 1990

1989

Some Results on the Complexity of Knowledge-Based Refinement.

Marco Valtorta

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Automating Rule Strengths in Expert Systems.

Marco Valtorta

Proceedings of the 8th European Conference on Artificial Intelligence, 1988

1985

Review of "Readings in Medical Artificial Intelligence by William J. Clancey and Edward Shortliffe", Addison-Wesley Publishing Co, Reading, MA.

Marco Valtorta

SIGART Newsl., 1985

1984

A result on the computational complexity of heuristic estimates for the A algorithm.

Marco Valtorta

Inf. Sci., 1984

1983

Detecting Ambiguity: An Example in Knowledge Evaluation.

Donald W. Loveland, Marco Valtorta

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983