Marco Valtorta

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 29

Top Topics

Structural Learning

Bayesian Networks

Top Venues

FLAIRS Conference

Int. J. Gen. Syst.

Ann. Math. Artif. Intell.

Publications

Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
Advances in automatically rating the trustworthiness of text processing services. AI Ethics 4 (1) (2024)
Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR (2024)
Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias. CoRR (2024)
Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
Advances in Automatically Rating the Trustworthiness of Text Processing Services. CoRR (2023)
Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
Rating Sentiment Analysis Systems for Bias through a Causal Lens. CoRR (2023)
Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. TPS-ISA (2023)
Mohammad Ali Javidian, Marco Valtorta
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. Int. J. Approx. Reason. 136 (2021)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS Conference (2021)
Adem Coskun, Jason M. O'Kane, Marco Valtorta
Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances. FLAIRS Conference (2021)
Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
Adversarial data poisoning attacks against the PC learning algorithm. Int. J. Gen. Syst. 49 (1) (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. 69 (2020)
Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta
On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. 88 (9) (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR (2019)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM (2019)
Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR (2019)
Hatim Alsuwat, Emad Alsuwat, Marco Valtorta, John R. Rose, Csilla Farkas
Modeling Concept Drift in the Context of Discrete Bayesian Networks. KDIR (2019)
Emad Alsuwat, Hatim Alsuwat, John R. Rose, Marco Valtorta, Csilla Farkas
Detecting Adversarial Attacks in the Context of Bayesian Networks. DBSec (2019)
Othar Hansson, Andrew Mayer, Marco Valtorta
A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. CoRR (2018)
Mohammad Ali Javidian, Marco Valtorta
Finding Minimal Separators in LWF Chain Graphs. PGM (2018)
Mohammad Ali Javidian, Marco Valtorta
A Proof of the Front-Door Adjustment Formula. CoRR (2018)
Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang
On a hypergraph probabilistic graphical model. CoRR (2018)
Mohammad Ali Javidian, Marco Valtorta
Structural Learning of Multivariate Regression Chain Graphs via Decomposition. CoRR (2018)
Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
Cyber Attacks Against the PC Learning Algorithm. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
Mohammad Ali Javidian, Marco Valtorta
Comment on: Decomposition of structural learning about directed acyclic graphs [1]. CoRR (2018)
Mohammad Ali Javidian, Marco Valtorta
The evolution of multivariate regression chain graphs. CoRR (2018)
Mark Bloemeke, Marco Valtorta
A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity CoRR (2013)
Young-Gyun Kim, Marco Valtorta
On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction CoRR (2013)
Moninder Singh, Marco Valtorta
An Algorithm for the Construction of Bayesian Network Structures from Data CoRR (2013)
Jingsong Wang, John Byrnes, Marco Valtorta, Michael N. Huhns
On the combination of logical and probabilistic models for information analysis. Appl. Intell. 36 (2) (2012)
Jingsong Wang, Marco Valtorta
Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers. ICTAI (2012)
Yimin Huang, Marco Valtorta
Pearl's Calculus of Intervention Is Complete. CoRR (2012)
Jingsong Wang, Marco Valtorta
A Framework for Integration of Logical and Probabilistic Knowledge. AAAI (2011)
Scott Langevin, Marco Valtorta, Mark Bloemeke
Agent-encapsulated Bayesian networks and the rumor problem. AAMAS (2010)
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
Extending Polynomial Chaos to Include Interval Analysis. IEEE Trans. Instrum. Meas. 59 (1) (2010)
Valerie Sessions, Marco Valtorta
Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. ACM J. Data Inf. Qual. 1 (3) (2009)
Scott Langevin, Marco Valtorta
Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. SUM (2008)
Marco Valtorta, Yimin Huang
Identifiability in Causal Bayesian Networks: a Gentle Introduction. Cybern. Syst. 39 (4) (2008)
Yimin Huang, Marco Valtorta
On the completeness of an identifiability algorithm for semi-Markovian models. Ann. Math. Artif. Intell. 54 (4) (2008)
Yimin Huang, Marco Valtorta
Pearl's Calculus of Intervention Is Complete. UAI (2006)
Yimin Huang, Marco Valtorta
Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. AAAI (2006)
Valerie Sessions, Marco Valtorta
The Effects of Data Quality on Machine Learning Algorithms. ICIQ (2006)
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
OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services. HICSS (2005)
Vaibhav Gowadia, Csilla Farkas, Marco Valtorta
PAID: A Probabilistic Agent-Based Intrusion Detection system. Comput. Secur. 24 (7) (2005)
Subramani Mani, Marco Valtorta, Suzanne McDermott
Building Bayesian Network Models in Medicine: The MENTOR Experience. Appl. Intell. 22 (2) (2005)
Bhaskara Reddy Moole, Marco Valtorta
Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12 (Supplement-2) (2004)
Young-Gyun Kim, Marco Valtorta, Jirí Vomlel
A Prototypical System for Soft Evidential Update. Appl. Intell. 21 (1) (2004)
Bhaskara Reddy Moole, Marco Valtorta
Causal Explanation with Background Knowledge. IICAI (2003)
Marco Valtorta, Young-Gyun Kim, Jirí Vomlel
Soft evidential update for probabilistic multiagent systems. Int. J. Approx. Reason. 29 (1) (2002)
Marco Valtorta, Michael N. Huhns
Probability and Agents. IEEE Internet Comput. 5 (6) (2001)
Jayanta K. Ghosh, Marco Valtorta
Building a Bayesian network model of heart disease. ACM Southeast Regional Conference (2000)
Mark Bloemeke, Marco Valtorta
A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. UAI (1998)
Charles X. F. Ling, Marco Valtorta
Refinement of Uncertain Rule Bases via Reduction. Int. J. Approx. Reason. 13 (2) (1995)
Moninder Singh, Marco Valtorta
Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. Int. J. Approx. Reason. 12 (2) (1995)
Young-Gyun Kim, Marco Valtorta
On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. UAI (1995)
Moninder Singh, Marco Valtorta
An Algorithm for the Construction of Bayesian Network Structures from Data. UAI (1993)
Marco Valtorta, Donald W. Loveland
On the complexity of belief network synthesis and refinement. Int. J. Approx. Reason. 7 (3-4) (1992)
Shijie Wang, Marco Valtorta
On the conversion of rule bases into belief networks. SAC (1992)
Othar Hansson, Andrew Mayer, Marco Valtorta
A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. Artif. Intell. 55 (1) (1992)
Stephen D. Durham, Jeffery S. Smolka, Marco Valtorta
Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters. Int. J. Approx. Reason. 6 (1) (1992)
Marco Valtorta, M. Ishaq Zahid
Some heuristics cannot be derived from relaxed models (abstract only). ACM Conference on Computer Science (1991)
Xiaofeng Ling, Marco Valtorta
Revision of Reduced Theories. ML (1991)
Marco Valtorta
Knowledge base refinement: A bibliography. Appl. Intell. 1 (1) (1991)
Marco Valtorta
Some results on the computational complexity of refining confidence factors. Int. J. Approx. Reason. 5 (2) (1991)
Marco Valtorta
More Results on the Complexity of Knowledge Base Refinement: Belief Networks. ML (1990)
Shijie Wang, Marco Valtorta
A Prototype Belief Network-Based Expert Systems Shell. IEA/AIE (Vol. 1) (1990)
Marco Valtorta
Some Results on the Complexity of Knowledge-Based Refinement. ML (1989)
Marco Valtorta
Automating Rule Strengths in Expert Systems. ECAI (1988)
Marco Valtorta
Review of "Readings in Medical Artificial Intelligence by William J. Clancey and Edward Shortliffe", Addison-Wesley Publishing Co, Reading, MA. SIGART Newsl. 92 (1985)
Marco Valtorta
A result on the computational complexity of heuristic estimates for the A algorithm. Inf. Sci. 34 (1) (1984)
Marco Valtorta
A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm. IJCAI (1983)
Donald W. Loveland, Marco Valtorta
Detecting Ambiguity: An Example in Knowledge Evaluation. IJCAI (1983)