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2020 – today
- 2024
[j25]Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta:
Advances in automatically rating the trustworthiness of text processing services. AI Ethics 4(1): 5-13 (2024)- [i19]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 abs/2401.12985 (2024) - [i18]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 abs/2406.12908 (2024) - 2023
- [c32]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: 380-389 - [i17]Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta:
Rating Sentiment Analysis Systems for Bias through a Causal Lens. CoRR abs/2302.02038 (2023) - [i16]Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta:
Advances in Automatically Rating the Trustworthiness of Text Processing Services. CoRR abs/2302.09079 (2023) - 2021
- [j24]Mohammad Ali Javidian, Marco Valtorta:
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. Int. J. Approx. Reason. 136: 66-85 (2021) - [c31]Adem Coskun, Jason M. O'Kane
, Marco Valtorta:
Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances. FLAIRS 2021 - [c30]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS 2021 - 2020
- [j23]Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta:
On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. 88(9): 1003-1033 (2020) - [j22]Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas:
Adversarial data poisoning attacks against the PC learning algorithm. Int. J. Gen. Syst. 49(1): 3-31 (2020) - [j21]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. 69: 419-470 (2020) - [c29]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI 2020: 1069-1078 - [i15]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR abs/2002.10870 (2020) - [i14]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR abs/2005.14037 (2020) - [i13]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR abs/2006.00970 (2020)
2010 – 2019
- 2019
- [c28]Emad Alsuwat, Hatim Alsuwat, John R. Rose, Marco Valtorta, Csilla Farkas:
Detecting Adversarial Attacks in the Context of Bayesian Networks. DBSec 2019: 3-22 - [c27]Hatim Alsuwat, Emad Alsuwat, Marco Valtorta, John R. Rose, Csilla Farkas:
Modeling Concept Drift in the Context of Discrete Bayesian Networks. KDIR 2019: 214-224 - [c26]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM 2019: 324-338 - [i12]Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta:
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR abs/1902.10119 (2019) - [i11]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR abs/1910.01067 (2019) - 2018
- [c25]Mohammad Ali Javidian, Marco Valtorta:
Finding Minimal Separators in LWF Chain Graphs. PGM 2018: 193-200 - [c24]Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas:
Cyber Attacks Against the PC Learning Algorithm. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 159-176 - [i10]Mohammad Ali Javidian, Marco Valtorta:
The evolution of multivariate regression chain graphs. CoRR abs/1803.04262 (2018) - [i9]Othar Hansson, Andrew Mayer, Marco Valtorta:
A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. CoRR abs/1803.06422 (2018) - [i8]Mohammad Ali Javidian, Marco Valtorta:
Structural Learning of Multivariate Regression Chain Graphs via Decomposition. CoRR abs/1806.00882 (2018) - [i7]Mohammad Ali Javidian, Marco Valtorta:
A Proof of the Front-Door Adjustment Formula. CoRR abs/1806.10449 (2018) - [i6]Mohammad Ali Javidian, Marco Valtorta:
Comment on: Decomposition of structural learning about directed acyclic graphs [1]. CoRR abs/1806.11103 (2018) - [i5]Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang:
On a hypergraph probabilistic graphical model. CoRR abs/1811.08372 (2018) - 2013
- [i4]Mark Bloemeke, Marco Valtorta:
A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. CoRR abs/1301.7360 (2013) - [i3]Young-Gyun Kim, Marco Valtorta:
On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. CoRR abs/1302.4967 (2013) - [i2]Moninder Singh, Marco Valtorta:
An Algorithm for the Construction of Bayesian Network Structures from Data. CoRR abs/1303.1485 (2013) - 2012
- [j20]Jingsong Wang, John J. Byrnes, Marco Valtorta, Michael N. Huhns:
On the combination of logical and probabilistic models for information analysis. Appl. Intell. 36(2): 472-497 (2012) - [c23]Jingsong Wang, Marco Valtorta:
Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers. ICTAI 2012: 105-113 - [i1]Yimin Huang, Marco Valtorta:
Pearl's Calculus of Intervention Is Complete. CoRR abs/1206.6831 (2012) - 2011
- [c22]Jingsong Wang, Marco Valtorta:
A Framework for Integration of Logical and Probabilistic Knowledge. AAAI 2011: 1822-1823 - 2010
- [j19]Antonello Monti, Ferdinanda Ponci, Marco Valtorta:
Extending Polynomial Chaos to Include Interval Analysis. IEEE Trans. Instrum. Meas. 59(1): 48-55 (2010) - [c21]Scott Langevin, Marco Valtorta, Mark Bloemeke:
Agent-encapsulated Bayesian networks and the rumor problem. AAMAS 2010: 1553-1554
2000 – 2009
- 2009
- [j18]Valerie Sessions, Marco Valtorta:
Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. ACM J. Data Inf. Qual. 1(3): 14:1-14:34 (2009) - 2008
- [j17]Yimin Huang, Marco Valtorta:
On the completeness of an identifiability algorithm for semi-Markovian models. Ann. Math. Artif. Intell. 54(4): 363-408 (2008) - [j16]Marco Valtorta, Yimin Huang:
Identifiability in Causal Bayesian Networks: a Gentle Introduction. Cybern. Syst. 39(4): 425-442 (2008) - [c20]Scott Langevin, Marco Valtorta:
Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. SUM 2008: 284-297 - 2007
- [c19]Michael N. Huhns, Marco G. Valtorta, Jingsong Wang:
Design Principles for Ontological Support of Bayesian Evidence Management. OIC 2007: 163-178 - 2006
- [c18]Yimin Huang, Marco Valtorta:
Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. AAAI 2006: 1149-1154 - [c17]Valerie Sessions, Marco Valtorta:
The Effects of Data Quality on Machine Learning Algorithms. ICIQ 2006: 485-498 - [c16]Yimin Huang, Marco Valtorta:
Pearl's Calculus of Intervention Is Complete. UAI 2006 - 2005
- [j15]Subramani Mani, Marco Valtorta, Suzanne McDermott:
Building Bayesian Network Models in Medicine: The MENTOR Experience. Appl. Intell. 22(2): 93-108 (2005) - [j14]Vaibhav Gowadia, Csilla Farkas, Marco Valtorta:
PAID: A Probabilistic Agent-Based Intrusion Detection system. Comput. Secur. 24(7): 529-545 (2005) - [c15]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 - 2004
- [j13]Young-Gyun Kim, Marco Valtorta, Jirí Vomlel:
A Prototypical System for Soft Evidential Update. Appl. Intell. 21(1): 81-97 (2004) - [j12]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): 101-122 (2004) - 2003
- [c14]Bhaskara Reddy Moole, Marco Valtorta:
Causal Explanation with Background Knowledge. IICAI 2003: 843-856 - 2002
- [j11]Marco Valtorta, Young-Gyun Kim, Jirí Vomlel:
Soft evidential update for probabilistic multiagent systems. Int. J. Approx. Reason. 29(1): 71-106 (2002) - 2001
- [j10]Marco Valtorta, Michael N. Huhns:
Probability and Agents. IEEE Internet Comput. 5(6): 77-79 (2001) - 2000
- [c13]Jayanta K. Ghosh, Marco Valtorta:
Building a Bayesian network model of heart disease. ACM Southeast Regional Conference 2000: 239-240
1990 – 1999
- 1998
- [c12]Mark Bloemeke, Marco Valtorta:
A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. UAI 1998: 16-23 - 1995
- [j9]Moninder Singh, Marco Valtorta:
Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. Int. J. Approx. Reason. 12(2): 111-131 (1995) - [j8]Charles X. F. Ling, Marco Valtorta:
Refinement of Uncertain Rule Bases via Reduction. Int. J. Approx. Reason. 13(2): 95-126 (1995) - [c11]Young-Gyun Kim, Marco Valtorta:
On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. UAI 1995: 362-367 - 1993
- [c10]Moninder Singh, Marco Valtorta:
An Algorithm for the Construction of Bayesian Network Structures from Data. UAI 1993: 259-265 - 1992
- [j7]Othar Hansson, Andrew Mayer, Marco Valtorta:
A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. Artif. Intell. 55(1): 129-143 (1992) - [j6]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): 67-81 (1992) - [j5]Marco Valtorta, Donald W. Loveland:
On the complexity of belief network synthesis and refinement. Int. J. Approx. Reason. 7(3-4): 121-148 (1992) - [c9]Shijie Wang, Marco Valtorta:
On the conversion of rule bases into belief networks. SAC 1992: 363-368 - 1991
- [j4]Marco Valtorta:
Knowledge base refinement: A bibliography. Appl. Intell. 1(1): 87-94 (1991) - [j3]Marco Valtorta:
Some results on the computational complexity of refining confidence factors. Int. J. Approx. Reason. 5(2): 123-148 (1991) - [c8]Marco Valtorta, M. Ishaq Zahid:
Some heuristics cannot be derived from relaxed models (abstract only). ACM Conference on Computer Science 1991: 698 - [c7]Xiaofeng Ling, Marco Valtorta:
Revision of Reduced Theories. ML 1991: 519-523 - 1990
- [c6]Marco Valtorta:
More Results on the Complexity of Knowledge Base Refinement: Belief Networks. ML 1990: 419-426 - [c5]Shijie Wang, Marco Valtorta:
A Prototype Belief Network-Based Expert Systems Shell. IEA/AIE (Vol. 1) 1990: 509-518
1980 – 1989
- 1989
- [c4]Marco Valtorta:
Some Results on the Complexity of Knowledge-Based Refinement. ML 1989: 326-331 - 1988
- [c3]Marco Valtorta:
Automating Rule Strengths in Expert Systems. ECAI 1988: 369-371 - 1985
- [j2]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: 13-14 (1985) - 1984
- [j1]Marco Valtorta:
A result on the computational complexity of heuristic estimates for the A algorithm. Inf. Sci. 34(1): 47-59 (1984) - 1983
- [c2]Donald W. Loveland, Marco Valtorta:
Detecting Ambiguity: An Example in Knowledge Evaluation. IJCAI 1983: 182-184 - [c1]Marco Valtorta:
A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm. IJCAI 1983: 777-779
Coauthor Index
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last updated on 2024-07-15 00:09 CEST by the dblp team
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