Marco Valtorta

76 papers A* 4A 7B 2Misc 3Journal 45Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. CoRR Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta
2024	J	`jnl`	Advances in automatically rating the trustworthiness of text processing services. AI Ethics Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
2024	J	`jnl`	Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
2024	J	`jnl`	The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias. CoRR Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
2023	J	`jnl`	Advances in Automatically Rating the Trustworthiness of Text Processing Services. CoRR Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
2023	J	`jnl`	Rating Sentiment Analysis Systems for Bias through a Causal Lens. CoRR Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
2023	—	`conf`	The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. TPS-ISA Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
2021	J	`jnl`	A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. Int. J. Approx. Reason. Mohammad Ali Javidian, Marco Valtorta
2021	Misc	`conf`	An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2021	Misc	`conf`	Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances. FLAIRS Adem Coskun, Jason M. O'Kane, Marco Valtorta
2020	J	`jnl`	AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	Adversarial data poisoning attacks against the PC learning algorithm. Int. J. Gen. Syst. Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
2020	A	`conf`	Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta
2019	B	`conf`	Detecting Adversarial Attacks in the Context of Bayesian Networks. DBSec Emad Alsuwat, Hatim Alsuwat, John R. Rose, Marco Valtorta, Csilla Farkas
2019	—	`conf`	Modeling Concept Drift in the Context of Discrete Bayesian Networks. KDIR Hatim Alsuwat, Emad Alsuwat, Marco Valtorta, John R. Rose, Csilla Farkas
2019	—	`conf`	Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2019	J	`jnl`	Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2019	J	`jnl`	Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta
2018	J	`jnl`	A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. CoRR Othar Hansson, Andrew Mayer, Marco Valtorta
2018	J	`jnl`	A Proof of the Front-Door Adjustment Formula. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	Comment on: Decomposition of structural learning about directed acyclic graphs [1]. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	—	`conf`	Cyber Attacks Against the PC Learning Algorithm. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
2018	—	`conf`	Finding Minimal Separators in LWF Chain Graphs. PGM Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	On a hypergraph probabilistic graphical model. CoRR Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang
2018	J	`jnl`	Structural Learning of Multivariate Regression Chain Graphs via Decomposition. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	The evolution of multivariate regression chain graphs. CoRR Mohammad Ali Javidian, Marco Valtorta
2013	J	`jnl`	A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity CoRR Mark Bloemeke, Marco Valtorta
2013	J	`jnl`	An Algorithm for the Construction of Bayesian Network Structures from Data CoRR Moninder Singh, Marco Valtorta
2013	J	`jnl`	On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction CoRR Young-Gyun Kim, Marco Valtorta
2012	J	`jnl`	On the combination of logical and probabilistic models for information analysis. Appl. Intell. Jingsong Wang, John J. Byrnes, Marco Valtorta, Michael N. Huhns
2012	J	`jnl`	Pearl's Calculus of Intervention Is Complete. CoRR Yimin Huang, Marco Valtorta
2012	B	`conf`	Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers. ICTAI Jingsong Wang, Marco Valtorta
2011	A*	`conf`	A Framework for Integration of Logical and Probabilistic Knowledge. AAAI Jingsong Wang, Marco Valtorta
2010	A	`conf`	Agent-encapsulated Bayesian networks and the rumor problem. AAMAS Scott Langevin, Marco Valtorta, Mark Bloemeke
2010	J	`jnl`	Extending Polynomial Chaos to Include Interval Analysis. IEEE Trans. Instrum. Meas. Antonello Monti, Ferdinanda Ponci, Marco Valtorta
2009	J	`jnl`	Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. ACM J. Data Inf. Qual. Valerie Sessions, Marco Valtorta
2008	J	`jnl`	Identifiability in Causal Bayesian Networks: a Gentle Introduction. Cybern. Syst. Marco Valtorta, Yimin Huang
2008	J	`jnl`	On the completeness of an identifiability algorithm for semi-Markovian models. Ann. Math. Artif. Intell. Yimin Huang, Marco Valtorta
2008	—	`conf`	Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. SUM Scott Langevin, Marco Valtorta
2006	A*	`conf`	Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. AAAI Yimin Huang, Marco Valtorta
2006	A	`conf`	Pearl's Calculus of Intervention Is Complete. UAI Yimin Huang, Marco Valtorta
2006	—	`conf`	The Effects of Data Quality on Machine Learning Algorithms. ICIQ Valerie Sessions, Marco Valtorta
2005	J	`jnl`	Building Bayesian Network Models in Medicine: The MENTOR Experience. Appl. Intell. Subramani Mani, Marco Valtorta, Suzanne McDermott
2005	—	`conf`	OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services. HICSS 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
2005	J	`jnl`	PAID: A Probabilistic Agent-Based Intrusion Detection system. Comput. Secur. Vaibhav Gowadia, Csilla Farkas, Marco Valtorta
2004	J	`jnl`	A Prototypical System for Soft Evidential Update. Appl. Intell. Young-Gyun Kim, Marco Valtorta, Jirí Vomlel
2004	J	`jnl`	Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Bhaskara Reddy Moole, Marco Valtorta
2003	—	`conf`	Causal Explanation with Background Knowledge. IICAI Bhaskara Reddy Moole, Marco Valtorta
2002	J	`jnl`	Soft evidential update for probabilistic multiagent systems. Int. J. Approx. Reason. Marco Valtorta, Young-Gyun Kim, Jirí Vomlel
2001	J	`jnl`	Probability and Agents. IEEE Internet Comput. Marco Valtorta, Michael N. Huhns
2000	—	`conf`	Building a Bayesian network model of heart disease. ACM Southeast Regional Conference Jayanta K. Ghosh, Marco Valtorta
1998	A	`conf`	A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. UAI Mark Bloemeke, Marco Valtorta
1995	J	`jnl`	Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. Int. J. Approx. Reason. Moninder Singh, Marco Valtorta
1995	A	`conf`	On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. UAI Young-Gyun Kim, Marco Valtorta
1995	J	`jnl`	Refinement of Uncertain Rule Bases via Reduction. Int. J. Approx. Reason. Charles X. F. Ling, Marco Valtorta
1993	A	`conf`	An Algorithm for the Construction of Bayesian Network Structures from Data. UAI Moninder Singh, Marco Valtorta
1992	J	`jnl`	A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. Artif. Intell. Othar Hansson, Andrew Mayer, Marco Valtorta
1992	J	`jnl`	On the complexity of belief network synthesis and refinement. Int. J. Approx. Reason. Marco Valtorta, Donald W. Loveland
1992	Misc	`conf`	On the conversion of rule bases into belief networks. SAC Shijie Wang, Marco Valtorta
1992	J	`jnl`	Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters. Int. J. Approx. Reason. Stephen D. Durham, Jeffery S. Smolka, Marco Valtorta
1991	J	`jnl`	Knowledge base refinement: A bibliography. Appl. Intell. Marco Valtorta
1991	—	`conf`	Revision of Reduced Theories. ML Xiaofeng Ling, Marco Valtorta
1991	—	`conf`	Some heuristics cannot be derived from relaxed models (abstract only). ACM Conference on Computer Science Marco Valtorta, M. Ishaq Zahid
1991	J	`jnl`	Some results on the computational complexity of refining confidence factors. Int. J. Approx. Reason. Marco Valtorta
1990	—	`conf`	A Prototype Belief Network-Based Expert Systems Shell. IEA/AIE (Vol. 1) Shijie Wang, Marco Valtorta
1990	—	`conf`	More Results on the Complexity of Knowledge Base Refinement: Belief Networks. ML Marco Valtorta
1989	—	`conf`	Some Results on the Complexity of Knowledge-Based Refinement. ML Marco Valtorta
1988	A	`conf`	Automating Rule Strengths in Expert Systems. ECAI Marco Valtorta
1985	J	`jnl`	Review of "Readings in Medical Artificial Intelligence by William J. Clancey and Edward Shortliffe", Addison-Wesley Publishing Co, Reading, MA. SIGART Newsl. Marco Valtorta
1984	J	`jnl`	A result on the computational complexity of heuristic estimates for the A algorithm. Inf. Sci. Marco Valtorta
1983	A*	`conf`	A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm. IJCAI Marco Valtorta
1983	A*	`conf`	Detecting Ambiguity: An Example in Knowledge Evaluation. IJCAI Donald W. Loveland, Marco Valtorta