Solving Decision Problems with Limited Information. - Denis Deratani Mauá; Cassio Polpo de Campos (NIPS, 2011)

Anytime Marginal MAP Inference. - Denis Deratani Mauá; Cassio Polpo de Campos (ICML, 2012)

The Complexity of Approximately Solving Influence Diagrams. - Denis Deratani Mauá; Cassio Polpo de Campos; Marco Zaffalon (UAI, 2012)

Updating credal networks is approximable in polynomial time. - Denis Deratani Mauá; Cassio P. de Campos; Marco Zaffalon (Int. J. Approx. Reason., 2012)

Evaluating credal classifiers by utility-discounted predictive accuracy. - Marco Zaffalon; Giorgio Corani; Denis Deratani Mauá (Int. J. Approx. Reason., 2012)

Solving Limited Memory Influence Diagrams. - Denis Deratani Mauá; Cassio P. de Campos; Marco Zaffalon (J. Artif. Intell. Res., 2012)

An Ensemble of Bayesian Networks for Multilabel Classification. - Alessandro Antonucci 001; Giorgio Corani; Denis Deratani Mauá; Sandra Gabaglio (IJCAI, 2013)

Approximation Algorithms for Max-Sum-Product Problems. - Denis Deratani Mauá (IJCAI, 2013)

On the Complexity of Strong and Epistemic Credal Networks. - Denis Deratani Mauá; Cassio Polpo de Campos; Alessio Benavoli; Alessandro Antonucci 001 (UAI, 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)

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. - Denis Deratani Mauá; Cassio Polpo de Campos; Alessandro Antonucci 001 (BRACIS, 2014)

Advances in Learning Bayesian Networks of Bounded Treewidth. - Siqi Nie; Denis Deratani Mauá; Cassio P. de Campos; Qiang Ji (NIPS, 2014)

Trading off Speed and Accuracy in Multilabel Classification. - Giorgio Corani; Alessandro Antonucci 001; Denis Deratani Mauá; Sandra Gabaglio (Probabilistic Graphical Models, 2014)

Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Probabilistic Graphical Models, 2014)

Probabilistic Inference in Credal Networks: New Complexity Results. - Denis Deratani Mauá; Cassio P. de Campos; Alessio Benavoli; Alessandro Antonucci 001 (J. Artif. Intell. Res., 2014)

Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (AAAI, 2015)

The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. - Denis Deratani Mauá; Cassio P. de Campos; Fábio Gagliardi Cozman (IJCAI, 2015)

The Complexity of Plate Probabilistic Models. - Fábio Gagliardi Cozman; Denis Deratani Mauá (SUM, 2015)

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model. - Denis Deratani Mauá; Fábio Gagliardi Cozman (SUM, 2015)

Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. - Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros; Fábio Gagliardi Cozman (BRACIS, 2016)

The Structure and Complexity of Credal Semantics. - Fábio Gagliardi Cozman; Denis Deratani Mauá (PLP@ILP, 2016)

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Probabilistic Graphical Models, 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)

Fast local search methods for solving limited memory influence diagrams. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2016)

Hidden Markov models with set-valued parameters. - Denis Deratani Mauá; Alessandro Antonucci 001; Cassio Polpo de Campos (Neurocomputing, 2016)

Better Initialization Heuristics for Order-based Bayesian Network Structure Learning. - Walter Perez Urcia; Denis Deratani Mauá (J. Inf. Data Manag., 2016)

On Using Sum-Product Networks for Multi-label Classification. - Julissa Villanueva Llerena; Denis Deratani Mauá (BRACIS, 2017)

University Entrance Exam as a Guiding Test for Artificial Intelligence. - Igor Cataneo Silveira; Denis Deratani Mauá (BRACIS, 2017)

The Descriptive Complexity of Bayesian Network Specifications. - Fábio Gagliardi Cozman; Denis Deratani Mauá (ECSQARU, 2017)

The Complexity of Inferences and Explanations in Probabilistic Logic Programming. - Fábio Gagliardi Cozman; Denis Deratani Mauá (ECSQARU, 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 (ISIPTA, 2017)

Credal Sum-Product Networks. - Denis Deratani Mauá; Fábio Gagliardi Cozman; Diarmaid Conaty; Cassio P. de Campos (ISIPTA, 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 (SUM, 2017)

Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. - Diarmaid Conaty; Cassio P. de Campos; Denis Deratani Mauá (UAI, 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. - Denis Deratani Mauá; Cassio P. de Campos (CoRR, 2017)

On the complexity of propositional and relational credal networks. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Int. J. Approx. Reason., 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 Semantics and Complexity of Probabilistic Logic Programs. - Fábio Gagliardi Cozman; Denis Deratani Mauá (J. Artif. Intell. Res., 2017)

Advances in Automatically Solving the ENEM. - Igor Cataneo Silveira; Denis Deratani Mauá (BRACIS, 2018)

When a Robot Reaches Out for Human Help. - Ignasi Andrés; Leliane Nunes de Barros; Denis Deratani Mauá; Thiago D. Simão (IBERAMIA, 2018)

The Finite Model Theory of Bayesian Networks: Descriptive Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (IJCAI, 2018)

The complexity of Bayesian networks specified by propositional and relational languages. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Artif. Intell., 2018)

Robustifying sum-product networks. - Denis Deratani Mauá; Diarmaid Conaty; Fábio Gagliardi Cozman; Katja Poppenhaeger; Cassio Polpo de Campos (Int. J. Approx. Reason., 2018)

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. - Thiago Pereira Bueno; Leliane N. de Barros; Denis Deratani Mauá; Scott Sanner (AAAI, 2019)

Robust Analysis of MAP Inference in Selective Sum-Product Networks. - Julissa Giuliana Villanueva Llerena; Denis Deratani Mauá (ISIPTA, 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)

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)

Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models. - Julissa Villanueva Llerena; Denis Deratani Mauá (AAAI, 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 (BRACIS (2), 2020)

On the Performance of Planning Through Backpropagation. - Renato Scaroni; Thiago Pereira Bueno; Leliane N. de Barros; Denis Deratani Mauá (BRACIS (2), 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 (ICBINB@NeurIPS, 2020)

Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. - Denis Deratani Mauá; Heitor Ribeiro Reis; Gustavo Perez Katague; Alessandro Antonucci 001 (PGM, 2020)

The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. - Fábio Gagliardi Cozman; Denis Deratani Mauá (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)

Tractable inference in credal sentential decision diagrams. - Lilith Mattei; Alessandro Antonucci 001; Denis Deratani Mauá; Alessandro Facchini; Julissa Villanueva Llerena (Int. J. Approx. Reason., 2020)

Complexity results for probabilistic answer set programming. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2020)

Thirty years of credal networks: Specification, algorithms and complexity. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2020)

Cautious Classification with Data Missing Not at Random Using Generative Random Forests. - Julissa Villanueva Llerena; Denis Deratani Mauá; Alessandro Antonucci 001 (ECSQARU, 2021)

Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. - Renato Lui Geh; Denis Deratani Mauá (UAI, 2021)

Special Issue on Robustness in Probabilistic Graphical Models. - Denis Deratani Mauá; Cassio Polpo de Campos (Int. J. Approx. Reason., 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)

Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study. - Ângelo Gregório Lovatto; Leliane Nunes de Barros; Denis Deratani Mauá (BRACIS (2), 2022)

Time Robust Trees: Using Temporal Invariance to Improve Generalization. - Luis Moneda; Denis Deratani Mauá (BRACIS (1), 2022)

Integrating Question Answering and Text-to-SQL in Portuguese. - Marcos Menon José; Marcelo Archanjo José; Denis Deratani Mauá; Fábio Gagliardi Cozman (PROPOR, 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 M. José; et al. (CoRR, 2022)

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 (EPIA (1), 2023)

Specifying credal sets with probabilistic answer set programming. - Denis Deratani Mauá; Fábio Gagliardi Cozman (ISIPTA, 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)

Investigating Universal Adversarial Attacks Against Transformers-Based Automatic Essay Scoring Systems. - Igor Cataneo Silveira; André Barbosa; Daniel Silva Lopes da Costa; Denis Deratani Mauá (BRACIS (2), 2024)

dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning. - Renato Lui Geh; Jonas Gonçalves; Igor Cataneo Silveira; Denis Deratani Mauá; Fábio G. Cozman (KR, 2024)

A Compositional Atlas for Algebraic Circuits. - Benjie Wang 001; Denis Deratani Mauá; Guy Van den Broeck; YooJung Choi 001 (NeurIPS, 2024)

Probabilistic Logic Programming under the L-Stable Semantics. - Denis Deratani Mauá; Fábio G. Cozman; Alexandro Garces (NMR, 2024)

A New Benchmark for Automatic Essay Scoring in Portuguese. - Igor Cataneo Silveira; André Barbosa; Denis Deratani Mauá (PROPOR (1), 2024)

A Case Study of Next Portfolio Prediction for Mutual Funds. - Guilherme Thomaz; Denis Deratani Mauá (CoRR, 2024)

Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. - Fábio G. Cozman; Radu Marinescu 002; Junkyu Lee 001; Alexander Gray 001; Denis Deratani Mauá (ISIPTA, 2025)