Denis Deratani Mauá

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 55

Top Topics

Markov Decision Process

Probabilistic Logic Programs

Probabilistic Logic

Influence Diagrams

Top Venues

Int. J. Approx. Reason.

Probabilistic Graphical Models

Publications

Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fábio Gagliardi Cozman
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. CoRR (2024)
Igor Cataneo Silveira, André Barbosa, Denis Deratani Mauá
A New Benchmark for Automatic Essay Scoring in Portuguese. PROPOR (2024)
Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fábio Gagliardi Cozman
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. EPIA (1) (2023)
Denis Deratani Mauá, Fábio Gagliardi Cozman
Specifying credal sets with probabilistic answer set programming. ISIPTA (2023)
Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fábio Gagliardi Cozman
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning. CoRR (2023)
Ângelo Gregório Lovatto, Leliane Nunes de Barros, Denis Deratani Mauá
Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study. BRACIS (2) (2022)
Paulo Pirozelli, Ais B. R. Castro, Ana Luiza C. de Oliveira, André Seidel Oliveira, Flávio Nakasato Cação, Igor Cataneo Silveira, João G. M. Campos, Laura C. Motheo, Leticia F. Figueiredo, Lucas Francisco Amaral Orosco Pellicer, Marcelo A. José, Marcos Menon José, Pedro de M. Ligabue, Ricardo S. Grava, Rodrigo M. Tavares, Vinícius B. Matos, Yan V. Sym, Anna H. R. Costa, Anarosa A. F. Brandão, Denis Deratani Mauá, Fábio Gagliardi Cozman, Sarajane M. Peres
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory. CoRR (2022)
Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman
Integrating question answering and text-to-SQL in Portuguese. CoRR (2022)
Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman
Integrating Question Answering and Text-to-SQL in Portuguese. PROPOR (2022)
Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, Leliane Nunes de Barros, Denis Deratani Mauá
Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. Int. J. Approx. Reason. 139 (2021)
Julissa Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci
Cautious Classification with Data Missing Not at Random Using Generative Random Forests. ECSQARU (2021)
Denis Deratani Mauá, Cassio Polpo de Campos
Special Issue on Robustness in Probabilistic Graphical Models. Int. J. Approx. Reason. 137 (2021)
Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá
On the Performance of Planning Through Backpropagation. BRACIS (2) (2020)
Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. PGM (2020)
Julissa Villanueva Llerena, Denis Deratani Mauá
Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks. Int. J. Approx. Reason. 126 (2020)
Milton Condori Fernandez, Leliane N. de Barros, Denis Deratani Mauá, Karina Valdivia Delgado, Valdinei Freire
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. BRACIS (2) (2020)
Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros
Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. ICBINB@NeurIPS (2020)
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
Tractable inference in credal sentential decision diagrams. Int. J. Approx. Reason. 125 (2020)
Denis Deratani Mauá, Fábio Gagliardi Cozman
Complexity results for probabilistic answer set programming. Int. J. Approx. Reason. 118 (2020)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. Int. J. Approx. Reason. 125 (2020)
Julissa Villanueva Llerena, Denis Deratani Mauá
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models. AAAI (2020)
Denis Deratani Mauá, Fábio Gagliardi Cozman
Thirty years of credal networks: Specification, algorithms and complexity. Int. J. Approx. Reason. 126 (2020)
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
Tractable Inference in Credal Sentential Decision Diagrams. CoRR (2020)
Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. AAAI (2019)
Francisco H. O. V. de Faria, Arthur Colombini Gusmão, Glauber De Bona, Denis Deratani Mauá, Fábio Gagliardi Cozman
Speeding up parameter and rule learning for acyclic probabilistic logic programs. Int. J. Approx. Reason. 106 (2019)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. Int. J. Approx. Reason. 110 (2019)
Julissa Giuliana Villanueva Llerena, Denis Deratani Mauá
Robust Analysis of MAP Inference in Selective Sum-Product Networks. ISIPTA (2019)
Ignasi Andrés, Leliane Nunes de Barros, Denis Deratani Mauá, Thiago D. Simão
When a Robot Reaches Out for Human Help. IBERAMIA (2018)
Igor Cataneo Silveira, Denis Deratani Mauá
Advances in Automatically Solving the ENEM. BRACIS (2018)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The complexity of Bayesian networks specified by propositional and relational languages. Artif. Intell. 262 (2018)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Finite Model Theory of Bayesian Networks: Descriptive Complexity. IJCAI (2018)
Denis Deratani Mauá, Diarmaid Conaty, Fábio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo de Campos
Robustifying sum-product networks. Int. J. Approx. Reason. 101 (2018)
Fábio Gagliardi Cozman, Denis Deratani Mauá
On the Semantics and Complexity of Probabilistic Logic Programs. CoRR (2017)
Denis Deratani Mauá, Fábio Gagliardi Cozman
The effect of combination functions on the complexity of relational Bayesian networks. Int. J. Approx. Reason. 85 (2017)
Francisco H. O. V. de Faria, Arthur C. Gusmão, Fábio Gagliardi Cozman, Denis Deratani Mauá
Speeding-up ProbLog's Parameter Learning. CoRR (2017)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Descriptive Complexity of Bayesian Network Specifications. ECSQARU (2017)
Igor Cataneo Silveira, Denis Deratani Mauá
University Entrance Exam as a Guiding Test for Artificial Intelligence. BRACIS (2017)
Fábio Gagliardi Cozman, Denis Deratani Mauá
On the Semantics and Complexity of Probabilistic Logic Programs. J. Artif. Intell. Res. 60 (2017)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Complexity of Inferences and Explanations in Probabilistic Logic Programming. ECSQARU (2017)
Fábio Gagliardi Cozman, Denis Deratani Mauá
On the complexity of propositional and relational credal networks. Int. J. Approx. Reason. 83 (2017)
Julissa Villanueva Llerena, Denis Deratani Mauá
On Using Sum-Product Networks for Multi-label Classification. BRACIS (2017)
Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman
Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming. ISIPTA (2017)
Denis Deratani Mauá, Cassio P. de Campos
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. CoRR (2017)
Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. UAI (2017)
Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos
Credal Sum-Product Networks. ISIPTA (2017)
Francisco Henrique Otte Vieira de Faria, Fábio Gagliardi Cozman, Denis Deratani Mauá
Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization. SUM (2017)
Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos
Hidden Markov models with set-valued parameters. Neurocomputing 180 (2016)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Structure and Complexity of Credal Semantics. PLP@ILP (2016)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. CoRR (2016)
Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman
Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. BRACIS (2016)
Fábio Gagliardi Cozman, Denis Deratani Mauá
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. Probabilistic Graphical Models (2016)
Walter Perez Urcia, Denis Deratani Mauá
Better Initialization Heuristics for Order-based Bayesian Network Structure Learning. J. Inf. Data Manag. 7 (2) (2016)
Denis Deratani Mauá
Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. Int. J. Approx. Reason. 68 (2016)
Denis Deratani Mauá, Fábio Gagliardi Cozman
The Effect of Combination Functions on the Complexity of Relational Bayesian Networks. Probabilistic Graphical Models (2016)
Denis Deratani Mauá, Fábio Gagliardi Cozman
Fast local search methods for solving limited memory influence diagrams. Int. J. Approx. Reason. 68 (2016)
Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. IJCAI (2015)
Denis Deratani Mauá, Fábio Gagliardi Cozman
DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model. SUM (2015)
Fábio Gagliardi Cozman, Denis Deratani Mauá
The Complexity of Plate Probabilistic Models. SUM (2015)
Fábio Gagliardi Cozman, Denis Deratani Mauá
Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity. AAAI (2015)
Denis Deratani Mauá
Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams. Probabilistic Graphical Models (2014)
Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50 (2014)
Denis Deratani Mauá, Fábio Gagliardi Cozman
Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. Probabilistic Graphical Models (2014)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. BRACIS (2014)
Siqi Nie, Denis Deratani Mauá, Cassio Polpo de Campos, Qiang Ji
Advances in Learning Bayesian Networks of Bounded Treewidth. CoRR (2014)
Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio
Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models (2014)
Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji
Advances in Learning Bayesian Networks of Bounded Treewidth. NIPS (2014)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
On the Complexity of Strong and Epistemic Credal Networks. CoRR (2013)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
On the Complexity of Strong and Epistemic Credal Networks. UAI (2013)
Denis Deratani Mauá
Approximation Algorithms for Max-Sum-Product Problems. IJCAI (2013)
Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio
An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI (2013)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artif. Intell. 205 (2013)
Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. 53 (8) (2012)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. 44 (2012)
Denis Deratani Mauá, Cassio Polpo de Campos
Anytime Marginal MAP Inference. ICML (2012)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
The Complexity of Approximately Solving Influence Diagrams CoRR (2012)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. 53 (8) (2012)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
The Complexity of Approximately Solving Influence Diagrams. UAI (2012)
Denis Deratani Mauá, Cassio Polpo de Campos
Solving Decision Problems with Limited Information. NIPS (2011)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
Solving Limited Memory Influence Diagrams CoRR (2011)