Cassio P. de Campos

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 40

Top Topics

Graphical Models

Binary Variables

Bounded Treewidth

Top Venues

Int. J. Approx. Reason.

Publications

Jasper De Bock, Gert De Cooman, Cassio P. de Campos
Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications. Int. J. Approx. Reason. 168 (2024)
Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur
Probabilistic Integral Circuits. AISTATS (2024)
Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur
Probabilistic Integral Circuits. CoRR (2023)
Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz
Continuous Mixtures of Tractable Probabilistic Models. AAAI (2023)
Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos
High-Value Token-Blocking: Efficient Blocking Method for Record Linkage. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz
Continuous Mixtures of Tractable Probabilistic Models. CoRR (2022)
Alessio Benavoli, Cassio P. de Campos
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. CoRR (2021)
Alessio Benavoli, Cassio P. de Campos
Bayesian Independence Test with Mixed-type Variables. DSAA (2021)
Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
A structured view on weighted counting with relations to counting, quantum computation and applications. Inf. Comput. 275 (2020)
Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
Joints in Random Forests. CoRR (2020)
Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
Joints in Random Forests. NeurIPS (2020)
Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos
On Pruning for Score-Based Bayesian Network Structure Learning. AISTATS (2020)
Cassio P. de Campos
Almost No News on the Complexity of MAP in Bayesian Networks. PGM (2020)
Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
Towards Robust Classification with Deep Generative Forests. CoRR (2020)
Alvaro H. C. Correia, James Cussens, Cassio P. de Campos
On Pruning for Score-Based Bayesian Network Structure Learning. CoRR (2019)
Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos
An unsupervised blocking technique for more efficient record linkage. Data Knowl. Eng. 122 (2019)
Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos
A hierarchy of sum-product networks using robustness. Int. J. Approx. Reason. 113 (2019)
Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag
An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. ISIPTA (2019)
Alvaro H. C. Correia, Cassio P. de Campos
Towards Scalable and Robust Sum-Product Networks. SUM (2019)
Rob Wit, Cassio P. de Campos, Diarmaid Conaty, Jesús Martínez del Rincón
Robustness in Sum-Product Networks with Continuous and Categorical Data. ISIPTA (2019)
Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos
Cascading Sum-Product Networks using Robustness. PGM (2018)
Kevin O'Hare, Anna Jurek, Cassio P. de Campos
A new technique of selecting an optimal blocking method for better record linkage. Inf. Syst. 77 (2018)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260 (2018)
Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications. CoRR (2017)
Cassio P. de Campos, Paola M. V. Rancoita
Introduction to the special issue on statistical and computational methods for genomics and integrative genomics. Int. J. Approx. Reason. 90 (2017)
Cassio P. de Campos, Alessio Benavoli
Joint Analysis of Multiple Algorithms and Performance Measures. New Gener. Comput. 35 (1) (2017)
Tameem Adel, Cassio P. de Campos
Learning Bayesian Networks with Incomplete Data by Augmentation. AAAI (2017)
Denis Deratani Mauá, Cassio P. de Campos
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. CoRR (2017)
Siqi Nie, Cassio P. de Campos, Qiang Ji
Efficient learning of Bayesian networks with bounded tree-width. Int. J. Approx. Reason. 80 (2017)
Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. UAI (2017)
Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos
Credal Sum-Product Networks. ISIPTA (2017)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR (2017)
Tameem Adel, Cassio P. de Campos
Learning Bayesian Networks without Assuming Missing at Random. CoRR (2016)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR (2016)
Cassio P. de Campos, Carlos Alberto De Bragança Pereira, Paola M. V. Rancoita, Adriano Polpo
Ordering Quantiles through Confidence Statements. Entropy 18 (10) (2016)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS (2016)
Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68 (2016)
Alessio Benavoli, Cassio P. de Campos
Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. Entropy 18 (9) (2016)
Siqi Nie, Cassio P. de Campos, Qiang Ji
Learning Bayesian Networks with Bounded Tree-width via Guided Search. AAAI (2016)
Paola M. V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni, Cassio P. de Campos
Bayesian network data imputation with application to survival tree analysis. Comput. Stat. Data Anal. 93 (2016)
Siqi Nie, Cassio P. de Campos, Qiang Ji
Learning Bounded Tree-Width Bayesian Networks via Sampling. ECSQARU (2015)
Alessio Benavoli, Cassio P. de Campos
Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI (2015)
Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. IJCAI (2015)
Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
Learning Bayesian Networks with Thousands of Variables. NIPS (2015)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximate credal network updating by linear programming with applications to decision making. Int. J. Approx. Reason. 58 (2015)
Aaron Meehan, Cassio P. de Campos
Averaged Extended Tree Augmented Naive Classifier. Entropy 17 (7) (2015)
Cassio P. de Campos, Alessandro Antonucci
Imprecision in Machine Learning and AI. IEEE Intell. Informatics Bull. 16 (1) (2015)
Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models (2014)
Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50 (2014)
Adriano Polpo, Cassio P. de Campos, Debajyoti Sinha, Stuart R. Lipsitz, Jianhang Lin
Transform both sides model: A parametric approach. Comput. Stat. Data Anal. 71 (2014)
Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models (2014)
Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci
Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS (2014)
Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji
Advances in Learning Bayesian Networks of Bounded Treewidth. NIPS (2014)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximating Credal Network Inferences by Linear Programming. ECSQARU (2013)
Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
A Structured View on Weighted Counting with Relations to Quantum Computation and Applications. Electron. Colloquium Comput. Complex. 20 (2013)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. 44 (2012)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. 53 (8) (2012)
Cassio P. de Campos, Qiang Ji
Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems. ECSQARU (2011)
Cassio P. de Campos
New Complexity Results for MAP in Bayesian Networks. IJCAI (2011)
Cassio P. de Campos, Alessio Benavoli
Inference with Multinomial Data: Why to Weaken the Prior Strength. IJCAI (2011)
Cassio P. de Campos, Qiang Ji
Efficient Structure Learning of Bayesian Networks using Constraints. J. Mach. Learn. Res. 12 (2011)
Giorgio Corani, Cassio P. de Campos
Improving parameter learning of Bayesian nets from incomplete data CoRR (2011)
Alessandro Antonucci, Yi Sun, Cassio P. de Campos, Marco Zaffalon
Generalized loopy 2U: A new algorithm for approximate inference in credal networks. Int. J. Approx. Reason. 51 (5) (2010)
Cassio P. de Campos, Qiang Ji
Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures. AAAI (2010)
Cassio P. de Campos, Zhi Zeng, Qiang Ji
An Improved Structural EM to Learn Dynamic Bayesian Nets. ICPR (2010)
Cassio P. de Campos
New Results for the MAP Problem in Bayesian Networks CoRR (2010)
Giorgio Corani, Cassio P. de Campos
A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. 51 (9) (2010)
Cassio P. de Campos, Zhi Zeng, Qiang Ji
Structure learning of Bayesian networks using constraints. ICML (2009)
Alessio Benavoli, Cassio P. de Campos
Inference from Multinomial Data Based on a MLE-Dominance Criterion. ECSQARU (2009)
Cassio P. de Campos, Yan Tong, Qiang Ji
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition. ECCV (3) (2008)
Cassio P. de Campos, Qiang Ji
Strategy Selection in Influence Diagrams using Imprecise Probabilities. UAI (2008)
Cassio P. de Campos, Qiang Ji
Improving Bayesian Network parameter learning using constraints. ICPR (2008)
Fábio Gagliardi Cozman, Cassio P. de Campos, José Carlos Ferreira da Rocha
Probabilistic Logic with Strong Independence. IBERAMIA-SBIA (2006)