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Denis Deratani MauŠ
Denis Deratani MauŠ
Professor, Dept. of Computer Science, Institute of Mathematics and Statistics, Universidade de S„o
Verified email at usp.br - Homepage
Title
Cited by
Cited by
Year
Evaluating credal classifiers by utility-discounted predictive accuracy
M Zaffalon, G Corani, D MauŠ
International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012
852012
An Ensemble of Bayesian Networks for Multilabel Classification
A Alessandro, G Corani, D MauŠ, S Gabaglio
Twenty-Third International Joint Conference on Artificial Intelligence, 1220†…, 2013
65*2013
Solving limited memory influence diagrams
DD MauŠ, CP de Campos, M Zaffalon
Journal of Artificial Intelligence Research 44, 97-140, 2012
442012
Probabilistic inference in credal networks: new complexity results
DD MauŠ, CP de Campos, A Benavoli, A Antonucci
Journal of Artificial Intelligence Research 50, 603-637, 2014
432014
Advances in learning Bayesian networks of bounded treewidth
S Nie, DD MauŠ, CP De Campos, Q Ji
Advances in neural information processing systems 27, 2014
422014
Approximation complexity of maximum a posteriori inference in sum-product networks
D Conaty, DD MauŠ, CP De Campos
arXiv preprint arXiv:1703.06045, 2017
34*2017
Anytime Marginal MAP Inference
C Campos, DD Maua
29th International Conference on Machine Learning (ICML-12), 1471-1478, 2012
33*2012
The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference
FG Cozman, DD MauŠ
International Journal of Approximate Reasoning 125, 218-239, 2020
312020
Deep reactive policies for planning in stochastic nonlinear domains
TP Bueno, LN de Barros, DD MauŠ, S Sanner
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7530-7537, 2019
312019
On the semantics and complexity of probabilistic logic programs
FG Cozman, DD MauŠ
Journal of Artificial Intelligence Research 60, 221-262, 2017
282017
Credal sum-product networks
DD MauŠ, FG Cozman, D Conaty, CP Campos
Proceedings of the Tenth International Symposium on Imprecise Probability†…, 2017
272017
Robustifying sum-product networks
DD MauŠ, D Conaty, FG Cozman, K Poppenhaeger, CP de Campos
International Journal of Approximate Reasoning 101, 163-180, 2018
252018
Equivalences between maximum a posteriori inference in bayesian networks and maximum expected utility computation in influence diagrams
DD MauŠ
International Journal of Approximate Reasoning 68, 211-229, 2016
232016
On the Complexity of Strong and Epistemic Credal Networks
DD MauŠ, CP de Campos, A Benavoli, A Antonucci
29th Conference on Uncertainty in Artificial Intelligence (UAI-13), 391-400, 2013
222013
Updating credal networks is approximable in polynomial time
DD MauŠ, CP De Campos, M Zaffalon
International Journal of Approximate Reasoning 53 (8), 1183-1199, 2012
202012
Thirty years of credal networks: Specification, algorithms and complexity
DD MauŠ, FG Cozman
International Journal of Approximate Reasoning 126, 133-157, 2020
192020
Trading off speed and accuracy in multilabel classification
G Corani, A Antonucci, DD MauŠ, S Gabaglio
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht†…, 2014
192014
Solving decision problems with limited information
DD MauŠ, C Campos
Advances in Neural Information Processing Systems (NIPS-11), 603-611, 2011
192011
The Complexity of Approximately Solving Influence Diagrams
DD MauŠ, CP de Campos, M Zaffalon
Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI-12†…, 2012
162012
Utility-based accuracy measures to empirically evaluate credal classifiers
M Zaffalon, G Corani, D MauŠ
Seventh International Symposium on Imprecise Probability: Theories and†…, 2011
162011
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Articles 1–20