Detecting Ambiguity: An Example in Knowledge Evaluation. - Donald W. Loveland; Marco Valtorta (IJCAI, 1983)

A result on the computational complexity of heuristic estimates for the A algorithm. - Marco Valtorta (Inf. Sci., 1984)

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)

Automating Rule Strengths in Expert Systems. - Marco Valtorta (ECAI, 1988)

Some Results on the Complexity of Knowledge-Based Refinement. - Marco Valtorta (ML, 1989)

More Results on the Complexity of Knowledge Base Refinement: Belief Networks. - Marco Valtorta (ML, 1990)

A Prototype Belief Network-Based Expert Systems Shell. - Shijie Wang; Marco Valtorta (IEA/AIE (Vol. 1), 1990)

Some heuristics cannot be derived from relaxed models (abstract only). - Marco Valtorta; M. Ishaq Zahid (ACM Conference on Computer Science, 1991)

Revision of Reduced Theories. - Xiaofeng Ling; Marco Valtorta (ML, 1991)

Knowledge base refinement: A bibliography. - Marco Valtorta (Appl. Intell., 1991)

Some results on the computational complexity of refining confidence factors. - Marco Valtorta (Int. J. Approx. Reason., 1991)

On the conversion of rule bases into belief networks. - Shijie Wang; Marco Valtorta (SAC, 1992)

A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. - Othar Hansson; Andrew Mayer; Marco Valtorta (Artif. Intell., 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)

On the complexity of belief network synthesis and refinement. - Marco Valtorta; Donald W. Loveland (Int. J. Approx. Reason., 1992)

An Algorithm for the Construction of Bayesian Network Structures from Data. - Moninder Singh; Marco Valtorta (UAI, 1993)

On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. - Young-Gyun Kim; Marco Valtorta (UAI, 1995)

Refinement of Uncertain Rule Bases via Reduction. - Charles X. F. Ling; Marco Valtorta (Int. J. Approx. Reason., 1995)

Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. - Moninder Singh; Marco Valtorta (Int. J. Approx. Reason., 1995)

A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. - Mark Bloemeke; Marco Valtorta (UAI, 1998)

Building a Bayesian network model of heart disease. - Jayanta K. Ghosh; Marco Valtorta (ACM Southeast Regional Conference, 2000)

Probability and Agents. - Marco Valtorta; Michael N. Huhns (IEEE Internet Comput., 2001)

Soft evidential update for probabilistic multiagent systems. - Marco Valtorta; Young-Gyun Kim; Jirí Vomlel (Int. J. Approx. Reason., 2002)

Causal Explanation with Background Knowledge. - Bhaskara Reddy Moole; Marco Valtorta (IICAI, 2003)

A Prototypical System for Soft Evidential Update. - Young-Gyun Kim; Marco Valtorta; Jirí Vomlel (Appl. Intell., 2004)

Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge. - Bhaskara Reddy Moole; Marco Valtorta (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004)

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 001; Hua Wang; Michael N. Huhns; Marco Valtorta; Jiangbo Dang; Hrishikesh J. Goradia; Jingshan Huang; et al. (HICSS, 2005)

Building Bayesian Network Models in Medicine: The MENTOR Experience. - Subramani Mani; Marco Valtorta; Suzanne McDermott (Appl. Intell., 2005)

PAID: A Probabilistic Agent-Based Intrusion Detection system. - Vaibhav Gowadia; Csilla Farkas; Marco Valtorta (Comput. Secur., 2005)

Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. - Yimin Huang; Marco Valtorta (AAAI, 2006)

The Effects of Data Quality on Machine Learning Algorithms. - Valerie Sessions; Marco Valtorta (ICIQ, 2006)

Pearl's Calculus of Intervention Is Complete. - Yimin Huang; Marco Valtorta (UAI, 2006)

Design Principles for Ontological Support of Bayesian Evidence Management. - Michael N. Huhns; Marco G. Valtorta; Jingsong Wang (OIC, 2007)

Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. - Scott Langevin; Marco Valtorta (SUM, 2008)

On the completeness of an identifiability algorithm for semi-Markovian models. - Yimin Huang; Marco Valtorta (Ann. Math. Artif. Intell., 2008)

Identifiability in Causal Bayesian Networks: a Gentle Introduction. - Marco Valtorta; Yimin Huang (Cybern. Syst., 2008)

Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. - Valerie Sessions; Marco Valtorta (ACM J. Data Inf. Qual., 2009)

Agent-encapsulated Bayesian networks and the rumor problem. - Scott Langevin; Marco Valtorta; Mark Bloemeke (AAMAS, 2010)

Extending Polynomial Chaos to Include Interval Analysis. - Antonello Monti; Ferdinanda Ponci; Marco Valtorta (IEEE Trans. Instrum. Meas., 2010)

A Framework for Integration of Logical and Probabilistic Knowledge. - Jingsong Wang; Marco Valtorta (AAAI, 2011)

Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers. - Jingsong Wang; Marco Valtorta (ICTAI, 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)

Finding Minimal Separators in LWF Chain Graphs. - Mohammad Ali Javidian; Marco Valtorta (PGM, 2018)

Cyber Attacks Against the PC Learning Algorithm. - Emad Alsuwat; Hatim Alsuwat; Marco Valtorta; Csilla Farkas (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

The evolution of multivariate regression chain graphs. - Mohammad Ali Javidian; Marco Valtorta (CoRR, 2018)

Structural Learning of Multivariate Regression Chain Graphs via Decomposition. - Mohammad Ali Javidian; Marco Valtorta (CoRR, 2018)

A Proof of the Front-Door Adjustment Formula. - Mohammad Ali Javidian; Marco Valtorta (CoRR, 2018)

Comment on: Decomposition of structural learning about directed acyclic graphs [1]. - Mohammad Ali Javidian; Marco Valtorta (CoRR, 2018)

Detecting Adversarial Attacks in the Context of Bayesian Networks. - Emad Alsuwat; Hatim Alsuwat; John R. Rose; Marco Valtorta; Csilla Farkas (DBSec, 2019)

Modeling Concept Drift in the Context of Discrete Bayesian Networks. - Hatim Alsuwat; Emad Alsuwat; Marco Valtorta; John R. Rose; Csilla Farkas (KDIR, 2019)

Order-Independent Structure Learning of Multivariate Regression Chain Graphs. - Mohammad Ali Javidian; Marco Valtorta; Pooyan Jamshidi (SUM, 2019)

Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. - Mohammad Ali Javidian; Pooyan Jamshidi; Marco Valtorta (CoRR, 2019)

Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. - Mohammad Ali Javidian; Marco Valtorta; Pooyan Jamshidi (UAI, 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: an Order Independent Algorithm. - Mohammad Ali Javidian; Marco Valtorta; Pooyan Jamshidi (CoRR, 2020)

Adversarial data poisoning attacks against the PC learning algorithm. - Emad Alsuwat; Hatim Alsuwat; Marco Valtorta; Csilla Farkas (Int. J. Gen. Syst., 2020)

AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. - Mohammad Ali Javidian; Marco Valtorta; Pooyan Jamshidi (J. Artif. Intell. Res., 2020)

Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances. - Adem Coskun; Jason M. O'Kane; Marco Valtorta (FLAIRS, 2021)

An Order-Independent Algorithm for Learning Chain Graphs. - Mohammad Ali Javidian; Marco Valtorta; Pooyan Jamshidi (FLAIRS, 2021)

A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. - Mohammad Ali Javidian; Marco Valtorta (Int. J. Approx. Reason., 2021)

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 (TPS-ISA, 2023)

Rating Sentiment Analysis Systems for Bias through a Causal Lens. - Kausik Lakkaraju; Biplav Srivastava; Marco Valtorta (CoRR, 2023)

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)

Advances in automatically rating the trustworthiness of text processing services. - Biplav Srivastava; Kausik Lakkaraju; Mariana Bernagozzi; Marco Valtorta (AI Ethics, 2024)

On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. - Kausik Lakkaraju; Rachneet Kaur; Parisa Zehtabi; Sunandita Patra; Siva Likitha Valluru; Zhen Zeng; Biplav Srivastava; Marco Valtorta (CoRR, 2025)