Inference in Polytrees with Sets of Probabilities. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman; Cassio Polpo de Campos (UAI, 2003)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat. - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (UAI, 2004)

The Inferential Complexity of Bayesian and Credal Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (IJCAI, 2005)

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (UAI, 2005)

Probabilistic Logic with Strong Independence. - Fábio Gagliardi Cozman; Cassio P. de Campos; José Carlos Ferreira da Rocha (IBERAMIA-SBIA, 2006)

Computing lower and upper expectations under epistemic independence. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2007)

Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition. - Cassio P. de Campos; Yan Tong; Qiang Ji (ECCV (3), 2008)

Improving Bayesian Network parameter learning using constraints. - Cassio P. de Campos; Qiang Ji (ICPR, 2008)

Strategy Selection in Influence Diagrams using Imprecise Probabilities. - Cassio P. de Campos; Qiang Ji (UAI, 2008)

Probabilistic logic with independence. - Fábio Gagliardi Cozman; Cassio Polpo de Campos; José Carlos Ferreira da Rocha (Int. J. Approx. Reason., 2008)

Inference from Multinomial Data Based on a MLE-Dominance Criterion. - Alessio Benavoli; Cassio P. de Campos (ECSQARU, 2009)

Structure learning of Bayesian networks using constraints. - Cassio P. de Campos; Zhi Zeng; Qiang Ji (ICML, 2009)

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence. - Cassio Polpo de Campos; Fábio Gagliardi Cozman; José Eduardo Ochoa Luna (J. Appl. Log., 2009)

Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures. - Cassio P. de Campos; Qiang Ji (AAAI, 2010)

An Improved Structural EM to Learn Dynamic Bayesian Nets. - Cassio P. de Campos; Zhi Zeng; Qiang Ji (ICPR, 2010)

New Results for the MAP Problem in Bayesian Networks - Cassio P. de Campos (CoRR, 2010)

Generalized loopy 2U: A new algorithm for approximate inference in credal networks. - Alessandro Antonucci 001; Yi Sun; Cassio P. de Campos; Marco Zaffalon (Int. J. Approx. Reason., 2010)

A tree augmented classifier based on Extreme Imprecise Dirichlet Model. - Giorgio Corani; Cassio P. de Campos (Int. J. Approx. Reason., 2010)

Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems. - Cassio P. de Campos; Qiang Ji (ECSQARU, 2011)

New Complexity Results for MAP in Bayesian Networks. - Cassio P. de Campos (IJCAI, 2011)

Inference with Multinomial Data: Why to Weaken the Prior Strength. - Cassio P. de Campos; Alessio Benavoli (IJCAI, 2011)

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

Improving parameter learning of Bayesian nets from incomplete data - Giorgio Corani; Cassio P. de Campos (CoRR, 2011)

Efficient Structure Learning of Bayesian Networks using Constraints. - Cassio P. de Campos; Qiang Ji (J. Mach. Learn. Res., 2011)

Integração de evidências em redes credais e a regra de Jeffrey. - José Carlos Ferreira da Rocha; Alaine Margarete Guimarães; Cassio Polpo de Campos (RITA, 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)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (CoRR, 2012)

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

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

Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (AAAI, 2013)

Approximating Credal Network Inferences by Linear Programming. - Alessandro Antonucci 001; Cassio P. de Campos; David Huber 001; Marco Zaffalon (ECSQARU, 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)

A Structured View on Weighted Counting with Relations to Quantum Computation and Applications. - Cassio P. de Campos; Georgios Stamoulis; Dennis Weyland (Electron. Colloquium Comput. Complex., 2013)

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

The Computational Complexity of Stochastic Optimization. - Cassio Polpo de Campos; Georgios Stamoulis; Dennis Weyland (ISCO, 2014)

Global Sensitivity Analysis for MAP Inference in Graphical Models. - Jasper De Bock; Cassio P. de Campos; Alessandro Antonucci 001 (NIPS, 2014)

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

Extended Tree Augmented Naive Classifier. - Cassio P. de Campos; Marco Cuccu; Giorgio Corani; Marco Zaffalon (Probabilistic Graphical Models, 2014)

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. - Mauro Scanagatta; Cassio P. de Campos; Marco Zaffalon (Probabilistic Graphical Models, 2014)

Transform both sides model: A parametric approach. - Adriano Polpo; Cassio P. de Campos; Debajyoti Sinha; Stuart R. Lipsitz; Jianhang Lin (Comput. Stat. Data Anal., 2014)

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms. - Fábio Gagliardi Cozman; Cassio Polpo de Campos (Int. J. Approx. Reason., 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)

Learning Bounded Tree-Width Bayesian Networks via Sampling. - Siqi Nie; Cassio P. de Campos; Qiang Ji (ECSQARU, 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)

Statistical Tests for Joint Analysis of Performance Measures. - Alessio Benavoli; Cassio P. de Campos (AMBN@JSAI-isAI, 2015)

Learning Bayesian Networks with Thousands of Variables. - Mauro Scanagatta; Cassio P. de Campos; Giorgio Corani; Marco Zaffalon (NIPS, 2015)

Imprecision in Machine Learning and AI. - Cassio P. de Campos; Alessandro Antonucci 001 (IEEE Intell. Informatics Bull., 2015)

Averaged Extended Tree Augmented Naive Classifier. - Aaron Meehan; Cassio P. de Campos (Entropy, 2015)

Approximate credal network updating by linear programming with applications to decision making. - Alessandro Antonucci 001; Cassio P. de Campos; David Huber 001; Marco Zaffalon (Int. J. Approx. Reason., 2015)

Learning Bayesian Networks with Bounded Tree-width via Guided Search. - Siqi Nie; Cassio P. de Campos; Qiang Ji (AAAI, 2016)

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. - Mauro Scanagatta; Giorgio Corani; Cassio P. de Campos; Marco Zaffalon (NIPS, 2016)

Learning Bayesian Networks without Assuming Missing at Random. - Tameem Adel; Cassio P. de Campos (CoRR, 2016)

Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. - Mauro Scanagatta; Giorgio Corani; Cassio P. de Campos; Marco Zaffalon (CoRR, 2016)

Bayesian network data imputation with application to survival tree analysis. - Paola M. V. Rancoita; Marco Zaffalon; Emanuele Zucca; Francesco Bertoni; Cassio P. de Campos (Comput. Stat. Data Anal., 2016)

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. - Alessio Benavoli; Cassio P. de Campos (Entropy, 2016)

Ordering Quantiles through Confidence Statements. - Cassio P. de Campos; Carlos Alberto De Bragança Pereira; Paola M. V. Rancoita; Adriano Polpo (Entropy, 2016)

Learning extended tree augmented naive structures. - Cassio P. de Campos; Giorgio Corani; Mauro Scanagatta; Marco Cuccu; Marco Zaffalon (Int. J. Approx. Reason., 2016)

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

Learning Bayesian Networks with Incomplete Data by Augmentation. - Tameem Adel; Cassio P. de Campos (AAAI, 2017)

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

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

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

Introduction to the special issue on statistical and computational methods for genomics and integrative genomics. - Cassio P. de Campos; Paola M. V. Rancoita (Int. J. Approx. Reason., 2017)

Efficient learning of Bayesian networks with bounded tree-width. - Siqi Nie; Cassio P. de Campos; Qiang Ji (Int. J. Approx. Reason., 2017)

Joint Analysis of Multiple Algorithms and Performance Measures. - Cassio P. de Campos; Alessio Benavoli (New Gener. Comput., 2017)

Cascading Sum-Product Networks using Robustness. - Diarmaid Conaty; Jesús Martínez del Rincón; Cassio P. de Campos (PGM, 2018)

Entropy-based pruning for learning Bayesian networks using BIC. - Cassio P. de Campos; Mauro Scanagatta; Giorgio Corani; Marco Zaffalon (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)

A new technique of selecting an optimal blocking method for better record linkage. - Kevin O'Hare; Anna Jurek; Cassio P. de Campos (Inf. Syst., 2018)

Approximate structure learning for large Bayesian networks. - Mauro Scanagatta; Giorgio Corani; Cassio Polpo de Campos; Marco Zaffalon (Mach. Learn., 2018)

An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. - Alvaro Henrique Chaim Correia; Cassio P. de Campos; Linda C. van der Gaag (ISIPTA, 2019)

Robustness in Sum-Product Networks with Continuous and Categorical Data. - Rob Wit; Cassio P. de Campos; Diarmaid Conaty; Jesús Martínez del Rincón (ISIPTA, 2019)

Towards Scalable and Robust Sum-Product Networks. - Alvaro H. C. Correia; Cassio P. de Campos (SUM, 2019)

An unsupervised blocking technique for more efficient record linkage. - Kevin O'Hare; Anna Jurek-Loughrey; Cassio P. de Campos (Data Knowl. Eng., 2019)

A hierarchy of sum-product networks using robustness. - Diarmaid Conaty; Jesús Martínez del Rincón; Cassio P. de Campos (Int. J. Approx. Reason., 2019)

On Pruning for Score-Based Bayesian Network Structure Learning. - Alvaro Henrique Chaim Correia; James Cussens; Cassio P. de Campos (AISTATS, 2020)

Joints in Random Forests. - Alvaro H. C. Correia; Robert Peharz; Cassio P. de Campos (NeurIPS, 2020)

Almost No News on the Complexity of MAP in Bayesian Networks. - Cassio P. de Campos (PGM, 2020)

Towards Robust Classification with Deep Generative Forests. - Alvaro H. C. Correia; Robert Peharz; Cassio P. de Campos (CoRR, 2020)

A structured view on weighted counting with relations to counting, quantum computation and applications. - Cassio P. de Campos; Georgios Stamoulis; Dennis Weyland (Inf. Comput., 2020)

Bayesian Independence Test with Mixed-type Variables. - Alessio Benavoli; Cassio P. de Campos (DSAA, 2021)

Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. - Alessio Benavoli; Cassio P. de Campos (CoRR, 2021)

Special Issue on Robustness in Probabilistic Graphical Models. - Denis Deratani Mauá; Cassio Polpo de Campos (Int. J. Approx. Reason., 2021)

High-Value Token-Blocking: Efficient Blocking Method for Record Linkage. - Kevin O'Hare; Anna Jurek-Loughrey; Cassio P. de Campos (ACM Trans. Knowl. Discov. Data, 2022)

Continuous Mixtures of Tractable Probabilistic Models. - Alvaro H. C. Correia; Gennaro Gala; Erik Quaeghebeur; Cassio P. de Campos; Robert Peharz (AAAI, 2023)

Portfolio Optimization via Credal Probabilistic Circuits. - David Ricardo Montalvan Hernandez; Cassio de Campos (ICAIF, 2023)

Probabilistic Multi-Dimensional Classification. - Vu-Linh Nguyen; Yang Yang; Cassio de Campos (UAI, 2023)

Probabilistic Integral Circuits. - Gennaro Gala; Cassio P. de Campos; Robert Peharz; Antonio Vergari; Erik Quaeghebeur (AISTATS, 2024)

Dempster-Shafer Credal Probabilistic Circuits. - David Ricardo Montalvan Hernandez; Thomas Krak; Cassio de Campos (BELIEF, 2024)

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits. - Gennaro Gala; Cassio P. de Campos; Antonio Vergari; Erik Quaeghebeur (NeurIPS, 2024)

Probabilistic Circuits with Constraints via Convex Optimization. - Soroush Ghandi; Benjamin Quost; Cassio de Campos (ECML/PKDD (3), 2024)

Nerva: a Truly Sparse Implementation of Neural Networks. - Wieger Wesselink; Bram Grooten; Qiao Xiao; Cassio de Campos; Mykola Pechenizkiy (CoRR, 2024)

Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications. - Jasper De Bock; Gert De Cooman; Cassio P. de Campos (Int. J. Approx. Reason., 2024)

Beyond tree-shaped credal probabilistic circuits. - David Ricardo Montalvan Hernandez; Tijn Centen; Thomas Krak; Erik Quaeghebeur; Cassio de Campos (Int. J. Approx. Reason., 2024)

Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score. - Rafael Rodrigues Mendes Ribeiro; Jordão Natal de Oliveira Júnior; Cassio Polpo de Campos; Carlos Dias Maciel (Appl. Intell., 2024)

Imposing Constraints in Probabilistic Circuits via Gradient Optimization. - Soroush Ghandi; Benjamin Quost; Cassio de Campos (IDA, 2025)

Towards conservative inference in credal networks using belief functions: the case of credal chains. - Marco Sangalli; Thomas Krak; Cassio de Campos (ISIPTA, 2025)

Soft learning probabilistic circuits. - Soroush Ghandi; Benjamin Quost; Cassio P. de Campos (Int. J. Approx. Reason., 2025)

What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? - Lorenzo Loconte; Antonio Mari; Gennaro Gala; Robert Peharz; Cassio de Campos; Erik Quaeghebeur; Gennaro Vessio; Antonio Vergari (Trans. Mach. Learn. Res., 2025)