Denis Deratani Mauá

According to our database, Denis Deratani Mauá authored at least 69 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A New Benchmark for Automatic Essay Scoring in Portuguese.

Igor Cataneo Silveira, André Barbosa, Denis Deratani Mauá

Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

2023

dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning.

Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fábio Gagliardi Cozman

CoRR, 2023

Specifying credal sets with probabilistic answer set programming.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks.

Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fábio Gagliardi Cozman

Proceedings of the Progress in Artificial Intelligence, 2023

2022

The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory.

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

CoRR, 2022

Integrating Question Answering and Text-to-SQL in Portuguese.

Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman

Proceedings of the Computational Processing of the Portuguese Language, 2022

Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study.

Ângelo Gregório Lovatto, Leliane Nunes de Barros, Denis Deratani Mauá

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget.

Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, Leliane Nunes de Barros, Denis Deratani Mauá

Int. J. Approx. Reason., 2021

Special Issue on Robustness in Probabilistic Graphical Models.

Denis Deratani Mauá, Cassio Polpo de Campos

Int. J. Approx. Reason., 2021

Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging.

Renato Lui Geh, Denis Deratani Mauá

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Cautious Classification with Data Missing Not at Random Using Generative Random Forests.

Julissa Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Thirty years of credal networks: Specification, algorithms and complexity.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2020

Complexity results for probabilistic answer set programming.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2020

Tractable inference in credal sentential decision diagrams.

Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena

Int. J. Approx. Reason., 2020

Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks.

Julissa Villanueva Llerena, Denis Deratani Mauá

Int. J. Approx. Reason., 2020

The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Int. J. Approx. Reason., 2020

Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.

Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice.

Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

On the Performance of Planning Through Backpropagation.

Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning.

Milton Condori Fernandez, Leliane N. de Barros, Denis Deratani Mauá, Karina Valdivia Delgado, Valdinei Freire

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models.

Julissa Villanueva Llerena, Denis Deratani Mauá

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Speeding up parameter and rule learning for acyclic probabilistic logic programs.

Francisco H. O. V. de Faria, Arthur Colombini Gusmão, Glauber De Bona, Denis Deratani Mauá, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2019

The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Int. J. Approx. Reason., 2019

Robust Analysis of MAP Inference in Selective Sum-Product Networks.

Julissa Giuliana Villanueva Llerena, Denis Deratani Mauá

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains.

Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Robustifying sum-product networks.

Denis Deratani Mauá, Diarmaid Conaty, Fábio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo de Campos

Int. J. Approx. Reason., 2018

The complexity of Bayesian networks specified by propositional and relational languages.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Artif. Intell., 2018

The Finite Model Theory of Bayesian Networks: Descriptive Complexity.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

When a Robot Reaches Out for Human Help.

Ignasi Andrés, Leliane Nunes de Barros, Denis Deratani Mauá, Thiago D. Simão

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

Advances in Automatically Solving the ENEM.

Igor Cataneo Silveira, Denis Deratani Mauá

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

On the Semantics and Complexity of Probabilistic Logic Programs.

Fábio Gagliardi Cozman, Denis Deratani Mauá

J. Artif. Intell. Res., 2017

The effect of combination functions on the complexity of relational Bayesian networks.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2017

On the complexity of propositional and relational credal networks.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Int. J. Approx. Reason., 2017

Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.

Denis Deratani Mauá, Cassio P. de Campos

CoRR, 2017

Speeding-up ProbLog's Parameter Learning.

Francisco H. O. V. de Faria, Arthur C. Gusmão, Fábio Gagliardi Cozman, Denis Deratani Mauá

CoRR, 2017

Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.

Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization.

Francisco Henrique Otte Vieira de Faria, Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Credal Sum-Product Networks.

Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming.

Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

The Complexity of Inferences and Explanations in Probabilistic Logic Programming.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

The Descriptive Complexity of Bayesian Network Specifications.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

University Entrance Exam as a Guiding Test for Artificial Intelligence.

Igor Cataneo Silveira, Denis Deratani Mauá

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

On Using Sum-Product Networks for Multi-label Classification.

Julissa Villanueva Llerena, Denis Deratani Mauá

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Better Initialization Heuristics for Order-based Bayesian Network Structure Learning.

Walter Perez Urcia, Denis Deratani Mauá

J. Inf. Data Manag., 2016

Hidden Markov models with set-valued parameters.

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos

Neurocomputing, 2016

Fast local search methods for solving limited memory influence diagrams.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2016

Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams.

Denis Deratani Mauá

Int. J. Approx. Reason., 2016

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

The Structure and Complexity of Credal Semantics.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the 3rd International Workshop on Probabilistic Logic Programming co-located with 26th International Conference on Inductive Logic Programming (ILP 2016), 2016

Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution.

Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

The Complexity of Plate Probabilistic Models.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages.

Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity.

Fábio Gagliardi Cozman, Denis Deratani Mauá

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Probabilistic Inference in Credal Networks: New Complexity Results.

Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci

J. Artif. Intell. Res., 2014

Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams.

Denis Deratani Mauá, Fábio Gagliardi Cozman

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Trading off Speed and Accuracy in Multilabel Classification.

Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Advances in Learning Bayesian Networks of Bounded Treewidth.

Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters.

Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables.

Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon

Artif. Intell., 2013

On the Complexity of Strong and Epistemic Credal Networks.

Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Approximation Algorithms for Max-Sum-Product Problems.

Denis Deratani Mauá

Proceedings of the IJCAI 2013, 2013

An Ensemble of Bayesian Networks for Multilabel Classification.

Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio

Proceedings of the IJCAI 2013, 2013

2012

Solving Limited Memory Influence Diagrams.

Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon

J. Artif. Intell. Res., 2012

Evaluating credal classifiers by utility-discounted predictive accuracy.

Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá

Int. J. Approx. Reason., 2012

Updating credal networks is approximable in polynomial time.

Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon

Int. J. Approx. Reason., 2012

The Complexity of Approximately Solving Influence Diagrams.

Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Anytime Marginal MAP Inference.

Denis Deratani Mauá, Cassio Polpo de Campos

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Solving Decision Problems with Limited Information.

Denis Deratani Mauá, Cassio Polpo de Campos

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011