Denis Deratani Mauá

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Fabio Gagliardi CozmanUniversidade de Sao PauloVerified email at usp.br
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Marco ZaffalonIDSIA and Artificialy.comVerified email at idsia.ch
Leliane Nunes de BarrosProfessor of the Computer Science Department at University of São Paulo, BrazilVerified email at ime.usp.br
Giorgio CoraniIDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale)Verified email at idsia.ch
Julissa Giuliana Villanueva LlerenaPhD in Computer Science, Institute of Mathematics and Statistics, University of São PauloVerified email at ime.usp.br
Alessio BenavoliAssociate Professor in Statistics, SCSS, Trinity College DublinVerified email at tcd.ie
Qiang JiProfessor of Electrical Eng., RPIVerified email at ecse.rpi.edu
Siqi NieFacebookVerified email at fb.com
Arthur Colombini GusmãoAppleVerified email at apple.com
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
Walter Perez UrciaMaster Degree Student, Computer Science, Universidade de São PauloVerified email at ime.usp.br
Glauber De BonaUniversity of São PauloVerified email at usp.br
Décio Lauro SoaresUniversity of São PauloVerified email at ime.usp.br
Ignasi AndresPhD Student, University of São PauloVerified email at ime.usp.br
Thiago P. BuenoPhD in Computer Science, University of São Paulo (USP) | Senior Software Developer (Luizalabs)

Denis Deratani Mauá

Professor, Dept. of Computer Science, Institute of Mathematics and Statistics, Universidade de São

Verified email at usp.br - Homepage

Artificial Intelligence Probabilistic Graphical Models Decision Making


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Evaluating credal classifiers by utility-discounted predictive accuracy M Zaffalon, G Corani, D Mauá International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012	94	2012
An Ensemble of Bayesian Networks for Multilabel Classification A Alessandro, G Corani, D Mauá, S Gabaglio Twenty-Third International Joint Conference on Artificial Intelligence, 1220 …, 2013	66*	2013
Solving limited memory influence diagrams DD Mauá, CP de Campos, M Zaffalon Journal of Artificial Intelligence Research 44, 97-140, 2012	46	2012
Advances in learning Bayesian networks of bounded treewidth S Nie, DD Mauá, CP De Campos, Q Ji Advances in neural information processing systems 27, 2014	45	2014
Probabilistic inference in credal networks: new complexity results DD Mauá, CP de Campos, A Benavoli, A Antonucci Journal of Artificial Intelligence Research 50, 603-637, 2014	44	2014
The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference FG Cozman, DD Mauá International Journal of Approximate Reasoning 125, 218-239, 2020	41	2020
Approximation complexity of maximum a posteriori inference in sum-product networks D Conaty, DD Mauá, CP De Campos arXiv preprint arXiv:1703.06045, 2017	38*	2017
Deep reactive policies for planning in stochastic nonlinear domains TP Bueno, LN de Barros, DD Mauá, S Sanner Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7530-7537, 2019	33	2019
On the semantics and complexity of probabilistic logic programs FG Cozman, DD Mauá Journal of Artificial Intelligence Research 60, 221-262, 2017	33	2017
Anytime Marginal MAP Inference C Campos, DD Maua 29th International Conference on Machine Learning (ICML-12), 1471-1478, 2012	33*	2012
Credal sum-product networks DD Mauá, FG Cozman, D Conaty, CP Campos Proceedings of the Tenth International Symposium on Imprecise Probability …, 2017	29	2017
Robustifying sum-product networks DD Mauá, D Conaty, FG Cozman, K Poppenhaeger, CP de Campos International Journal of Approximate Reasoning 101, 163-180, 2018	28	2018
Thirty years of credal networks: Specification, algorithms and complexity DD Mauá, FG Cozman International Journal of Approximate Reasoning 126, 133-157, 2020	25	2020
Equivalences between maximum a posteriori inference in bayesian networks and maximum expected utility computation in influence diagrams DD Mauá International Journal of Approximate Reasoning 68, 211-229, 2016	23	2016
On the Complexity of Strong and Epistemic Credal Networks DD Mauá, CP de Campos, A Benavoli, A Antonucci 29th Conference on Uncertainty in Artificial Intelligence (UAI-13), 391-400, 2013	22	2013
Updating credal networks is approximable in polynomial time DD Mauá, CP De Campos, M Zaffalon International Journal of Approximate Reasoning 53 (8), 1183-1199, 2012	20	2012
Solving decision problems with limited information DD Mauá, C Campos Advances in Neural Information Processing Systems (NIPS-11), 603-611, 2011	20	2011
Trading off speed and accuracy in multilabel classification G Corani, A Antonucci, DD Mauá, S Gabaglio Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014	19	2014
The Structure and Complexity of Credal Semantics. FG Cozman, DD Mauá PLP@ ILP, 3-14, 2016	18	2016
The Complexity of Approximately Solving Influence Diagrams DD Mauá, CP de Campos, M Zaffalon Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI-12 …, 2012	16	2012

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