Evaluating credal classifiers by utility-discounted predictive accuracy M Zaffalon, G Corani, D Mauá International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012 | 86 | 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 |
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 |
Solving limited memory influence diagrams DD Mauá, CP de Campos, M Zaffalon Journal of Artificial Intelligence Research 44, 97-140, 2012 | 44 | 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 | 42 | 2014 |
Approximation complexity of maximum a posteriori inference in sum-product networks D Conaty, DD Mauá, CP De Campos arXiv preprint arXiv:1703.06045, 2017 | 36* | 2017 |
The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference FG Cozman, DD Mauá International Journal of Approximate Reasoning 125, 218-239, 2020 | 34 | 2020 |
Anytime Marginal MAP Inference C Campos, DD Maua 29th International Conference on Machine Learning (ICML-12), 1471-1478, 2012 | 33* | 2012 |
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 | 32 | 2019 |
On the semantics and complexity of probabilistic logic programs FG Cozman, DD Mauá Journal of Artificial Intelligence Research 60, 221-262, 2017 | 28 | 2017 |
Credal sum-product networks DD Mauá, FG Cozman, D Conaty, CP Campos Proceedings of the Tenth International Symposium on Imprecise Probability …, 2017 | 28 | 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 | 25 | 2018 |
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 |
Thirty years of credal networks: Specification, algorithms and complexity DD Mauá, FG Cozman International Journal of Approximate Reasoning 126, 133-157, 2020 | 21 | 2020 |
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 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 |
Utility-based accuracy measures to empirically evaluate credal classifiers M Zaffalon, G Corani, D Mauá Seventh International Symposium on Imprecise Probability: Theories and …, 2011 | 16 | 2011 |