Cassio Polpo de Campos

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Approximating Credal Network Inferences by Linear Programming

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2013, ECSQARU.

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2008, Int. J. Approx. Reason..

Extended Tree Augmented Naive Classifier

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2014, Probabilistic Graphical Models.

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2014, Int. J. Approx. Reason..

Inference with Multinomial Data: Why to Weaken the Prior Strength

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2011, IJCAI.

Strategy Selection in Influence Diagrams using Imprecise Probabilities

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, UAI.

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

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

Generalized loopy 2U: A new algorithm for approximate inference in credal networks

Yi Sun, Marco Zaffalon, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Joint Analysis of Multiple Algorithms and Performance Measures

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, New Generation Computing.

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..

Integração de evidências em redes credais e a regra de Jeffrey

Cassio Polpo de Campos, José Carlos Ferreira da Rocha, Alaine Margarete Guimarães, 2011, RITA.

Introduction to the special issue on statistical and computational methods for genomics and integrative genomics

Cassio Polpo de Campos, Paola M. V. Rancoita, 2017, Int. J. Approx. Reason..

Learning Bounded Treewidth Bayesian Networks with Thousands of Variables pdf

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, ArXiv.

An Improved Structural EM to Learn Dynamic Bayesian Nets

Qiang Ji, Zhi Zeng, Cassio Polpo de Campos, 2010, 2010 20th International Conference on Pattern Recognition.

Updating credal networks is approximable in polynomial time

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

Global Sensitivity Analysis for MAP Inference in Graphical Models

Alessandro Antonucci, Cassio Polpo de Campos, Jasper De Bock, 2014, NIPS.

Learning extended tree augmented naive structures

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, Int. J. Approx. Reason..

Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition

Qiang Ji, Yan Tong, Cassio Polpo de Campos, 2008, ECCV.

Anytime Marginal MAP Inference

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

A tree augmented classifier based on Extreme Imprecise Dirichlet Model

Giorgio Corani, Cassio Polpo de Campos, Giorgio Corani, 2010, Int. J. Approx. Reason..

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, UAI.

New Results for the MAP Problem in Bayesian Networks pdf

Cassio Polpo de Campos, Cassio Polpo de Campos, 2010, ArXiv.

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2009, J. Appl. Log..

Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2010, AAAI.

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.

Approximate credal network updating by linear programming with applications to decision making

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2015, Int. J. Approx. Reason..

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2004, UAI.

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, Entropy.

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

Marco Zaffalon, Cassio Polpo de Campos, Mauro Scanagatta, 2014, Probabilistic Graphical Models.

Imprecision in Machine Learning and AI

Alessandro Antonucci, Cassio Polpo de Campos, 2015, IEEE Intell. Informatics Bull..

Learning Bayesian Networks without Assuming Missing at Random pdf

Cassio Polpo de Campos, Tameem Adel, 2016, ArXiv.

Structure learning of Bayesian networks using constraints

Qiang Ji, Zhi Zeng, Cassio Polpo de Campos, 2009, ICML '09.

A hierarchy of sum-product networks using robustness

Cassio Polpo de Campos, Diarmaid Conaty, Jesus Martinez del Rincon, 2019, Int. J. Approx. Reason..

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.

Efficient learning of Bayesian networks with bounded tree-width

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2017, Int. J. Approx. Reason..

The Complexity of Approximately Solving Influence Diagrams

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

Computing lower and upper expectations under epistemic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2007, Int. J. Approx. Reason..

Ordering Quantiles through Confidence Statements

Cassio Polpo de Campos, Paola M. V. Rancoita, Carlos Alberto De Bragança Pereira, 2016, Entropy.

A Structured View on Weighted Counting with Relations to Quantum Computation and Applications

Cassio Polpo de Campos, Dennis Weyland, Georgios Stamoulis, 2013, Electron. Colloquium Comput. Complex..

A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications pdf

Cassio Polpo de Campos, Dennis Weyland, Georgios Stamoulis, 2017, Inf. Comput..

Bayesian network data imputation with application to survival tree analysis

Marco Zaffalon, Francesco Bertoni, Cassio Polpo de Campos, 2016, Comput. Stat. Data Anal..

Improving parameter learning of Bayesian nets from incomplete data pdf

Giorgio Corani, Cassio Polpo de Campos, 2011, ArXiv.

Statistical Tests for Joint Analysis of Performance Measures

Alessio Benavoli, Cassio Polpo de Campos, 2015, AMBN@JSAI-isAI.

Learning Bayesian Networks with Bounded Tree-width via Guided Search

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2016, AAAI.

Improving Bayesian Network parameter learning using constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

On the Complexity of Strong and Epistemic Credal Networks pdf

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

The Inferential Complexity of Bayesian and Credal Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, IJCAI.

Learning Bayesian Networks with Incomplete Data by Augmentation

Cassio Polpo de Campos, Tameem Adel, Cassio Polpo de Campos, 2016, AAAI.

The Computational Complexity of Stochastic Optimization

Cassio Polpo de Campos, Dennis Weyland, Georgios Stamoulis, 2014, ISCO.

Inference from Multinomial Data Based on a MLE-Dominance Criterion

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2009, ECSQARU.

Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, ECSQARU.

Probabilistic graphical models

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2014 .

Probabilistic Logic with Strong Independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2006, IBERAMIA-SBIA.

Advances in Learning Bayesian Networks of Bounded Treewidth pdf

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

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence New Complexity Results for MAP in Bayesian Networks

Cassio Polpo de Campos, 2022 .

Approximate structure learning for large Bayesian networks

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2018, Machine Learning.

Entropy-based Pruning for Learning Bayesian Networks using BIC

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2017, Artif. Intell..

Hidden Markov models with set-valued parameters

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

Averaged Extended Tree Augmented Naive Classifier

Cassio Polpo de Campos, Aaron Meehan, Cassio Polpo de Campos, 2015, Entropy.

Efficient Structure Learning of Bayesian Networks using Constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, J. Mach. Learn. Res..

Learning Bounded Tree-Width Bayesian Networks via Sampling

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2015, ECSQARU.

Transform both sides model: A parametric approach

Cassio Polpo de Campos, J. Lin, A. Polpo, 2014, Comput. Stat. Data Anal..

Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks

Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2013, AAAI.

A Maximum Entropy Approach to Learn Bayesian Networks from Incomplete Data

Giorgio Corani, Cassio Polpo de Campos, 2015 .

Inference in Polytrees with Sets of Probabilities pdf

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2002, UAI.

Solving Decision Problems with Limited Information

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

Learning Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2015, NIPS.

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.

Cascading Sum-Product Networks using Robustness

Jesús Martínez del Rincón, Cassio Polpo de Campos, Diarmaid Conaty, 2018, PGM.

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, NIPS.