Denis Deratani Mauá

发表

Using Social Data to Predict Trust on Web Communities: A Case Study with the Epinions.com Website

Denis Deratani Mauá, Fabio Gagliardi Cozman, 2008 .

Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models

Denis Deratani Mauá, Julissa Villanueva Llerena, 2020, AAAI.

Speeding up parameter and rule learning for acyclic probabilistic logic programs

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2019, Int. J. Approx. Reason..

Thirty years of credal networks: Specification, algorithms and complexity

Denis Deratani Mauá, Fábio Gagliardi Cozman, D. Mauá, 2020, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Cassio Polpo de Campos, Diarmaid Conaty, 2017, UAI.

Complexity results for probabilistic answer set programming

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2020, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2013, Artif. Intell..

On the complexity of propositional and relational credal networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, Int. J. Approx. Reason..

Advances in Automatically Solving the ENEM

Denis Deratani Mauá, Igor Cataneo Silveira, D. Mauá, 2018, BRACIS.

University Entrance Exam as a Guiding Test for Artificial Intelligence

Denis Deratani Mauá, Igor Cataneo Silveira, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

End-To-End Imitation Learning of Lane Following Policies Using Sum-Product Networks

Denis Deratani Mauá, Renato Lui Geh, 2019 .

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

Denis Deratani Mauá, Fábio Gagliardi Cozman, Francisco Henrique Otte Vieira de Faria, 2017, SUM.

Updating credal networks is approximable in polynomial time

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2012, Int. J. Approx. Reason..

Better Initialization Heuristics for Order-based Bayesian Network Structure Learning

Denis Deratani Mauá, Walter Perez Urcia, D. Mauá, 2017, J. Inf. Data Manag..

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Int. J. Approx. Reason..

Anytime Marginal MAP Inference

Denis Deratani Mauá, Cassio Polpo de Campos, 2012, ICML.

Robust Analysis of MAP Inference in Selective Sum-Product Networks

Denis Deratani Mauá, Julissa Giuliana Villanueva Llerena, 2019, ISIPTA.

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming

Denis Deratani Mauá, Fábio Gagliardi Cozman, Leliane Nunes de Barros, 2017, ISIPTA.

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos, 2014, 2014 Brazilian Conference on Intelligent Systems.

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

Denis Deratani Mauá, 2016, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Probabilistic Graphical Models.

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, AAAI.

Speeding-up ProbLog's Parameter Learning pdf

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ArXiv.

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, SUM.

Preamble and Organization

Denis Deratani Mauá, Murilo Naldi, 2018 .

Robustifying sum-product networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2018, Int. J. Approx. Reason..

Solving Limited Memory Influence Diagrams

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2011, J. Artif. Intell. Res..

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, IJCAI.

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, 2019, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Karina Valdivia Delgado, Leliane Nunes de Barros, 2020, BRACIS.

The Complexity of Approximately Solving Influence Diagrams

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2012, UAI.

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains

Scott Sanner, Denis Deratani Mauá, Leliane Nunes de Barros, 2019, AAAI.

Evaluating credal classifiers by utility-discounted predictive accuracy

Denis Deratani Mauá, Marco Zaffalon, Giorgio Corani, 2012, Int. J. Approx. Reason..

The Complexity of Inferences and Explanations in Probabilistic Logic Programming

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2017, ECSQARU.

On the Complexity of Strong and Epistemic Credal Networks pdf

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2013, UAI.

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages pdf

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Artif. Intell..

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

On the Semantics and Complexity of Probabilistic Logic Programs

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, J. Artif. Intell. Res..

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

Denis Deratani Mauá, Fábio Gagliardi Cozman, F. Cozman, 2020, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Julissa Villanueva Llerena, 2020, Int. J. Approx. Reason..

The Structure and Complexity of Credal Semantics

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2016, PLP@ILP.

The Descriptive Complexity of Bayesian Network Specifications

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ECSQARU.

Fast local search methods for solving limited memory influence diagrams

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Int. J. Approx. Reason..

Advances in Learning Bayesian Networks of Bounded Treewidth pdf

Qiang Ji, Denis Deratani Mauá, Cassio Polpo de Campos, 2014, NIPS.

When a Robot Reaches Out for Human Help

Denis Deratani Mauá, Thiago D. Simão, Leliane Nunes de Barros, 2018, IBERAMIA.

Trading off Speed and Accuracy in Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2014, Probabilistic Graphical Models.

Approximation Algorithms for Max-Sum-Product Problems

Denis Deratani Mauá, 2013, IJCAI.

Hidden Markov models with set-valued parameters

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos, 2016, Neurocomputing.

The Finite Model Theory of Bayesian Networks: Descriptive Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2018, IJCAI.

The Complexity of Plate Probabilistic Models

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2015, SUM.

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

Denis Deratani Mauá, D. Mauá, 2014, Int. J. Approx. Reason..

Solving Decision Problems with Limited Information

Denis Deratani Mauá, Cassio Polpo de Campos, Cassio Polpo de Campos, 2011, NIPS.

An Ensemble of Bayesian Networks for Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2013, IJCAI.

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

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2014, Probabilistic Graphical Models.

Probabilistic Inference in Credal Networks: New Complexity Results

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2014, J. Artif. Intell. Res..

Credal Sum-Product Networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ISIPTA.

On the Performance of Planning Through Backpropagation

Denis Deratani Mauá, Leliane Nunes de Barros, Thiago Pereira Bueno, 2020, BRACIS.

On Using Sum-Product Networks for Multi-label Classification

Denis Deratani Mauá, Julissa Villanueva Llerena, Julissa Giuliana Villanueva Llerena, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

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

Denis Deratani Mauá, Renato Lui Geh, 2021, UAI.

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

Denis Deratani Mauá, Karina Valdivia Delgado, Leliane Nunes de Barros, 2021 .

Special Issue on Robustness in Probabilistic Graphical Models

Denis Deratani Mauá, Cassio Polpo de Campos, 2021, Int. J. Approx. Reason..

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

Denis Deratani Mauá, Alessandro Antonucci, Julissa Villanueva Llerena, 2021, ECSQARU.

A Tractable Class of Model Counting Problems

Denis Deratani Mauá, 2015 .

The Well-Founded Semantics of Cyclic Probabilistic Logic Programs : Meaning and Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, D. Mauá, 2016 .

Anytime marginal maximum a posteriori inference

Denis Deratani Mauá, Cassio Polpo de Campos, 2012, ICML 2012.