Cassio P. de Campos

77 papers A* 10A 5B 3C 4Journal 39Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Soft learning probabilistic circuits. Int. J. Approx. Reason. Soroush Ghandi, Benjamin Quost, Cassio P. de Campos
2024	J	`jnl`	Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications. Int. J. Approx. Reason. Jasper De Bock, Gert de Cooman, Cassio P. de Campos
2024	A	`conf`	Probabilistic Integral Circuits. AISTATS Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur
2024	A*	`conf`	Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits. NeurIPS Gennaro Gala, Cassio P. de Campos, Antonio Vergari, Erik Quaeghebeur
2023	A*	`conf`	Continuous Mixtures of Tractable Probabilistic Models. AAAI Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz
2023	J	`jnl`	Probabilistic Integral Circuits. CoRR Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur
2022	J	`jnl`	Continuous Mixtures of Tractable Probabilistic Models. CoRR Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz
2022	J	`jnl`	High-Value Token-Blocking: Efficient Blocking Method for Record Linkage. ACM Trans. Knowl. Discov. Data Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos
2021	B	`conf`	Bayesian Independence Test with Mixed-type Variables. DSAA Alessio Benavoli, Cassio P. de Campos
2021	J	`jnl`	Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. CoRR Alessio Benavoli, Cassio P. de Campos
2021	A	`ed.`	Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021 UAI Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur
2020	J	`jnl`	A structured view on weighted counting with relations to counting, quantum computation and applications. Inf. Comput. Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
2020	—	`conf`	Almost No News on the Complexity of MAP in Bayesian Networks. PGM Cassio P. de Campos
2020	A*	`conf`	Joints in Random Forests. NeurIPS Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
2020	J	`jnl`	Joints in Random Forests. CoRR Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
2020	A	`conf`	On Pruning for Score-Based Bayesian Network Structure Learning. AISTATS Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos
2020	J	`jnl`	Towards Robust Classification with Deep Generative Forests. CoRR Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos
2019	J	`jnl`	A hierarchy of sum-product networks using robustness. Int. J. Approx. Reason. Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos
2019	—	`conf`	An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. ISIPTA Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag
2019	J	`jnl`	An unsupervised blocking technique for more efficient record linkage. Data Knowl. Eng. Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos
2019	—	`ed.`	International Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA 2019, 3-6 July 2019, Thagaste, Ghent, Belgium ISIPTA Jasper De Bock, Cassio P. de Campos, Gert de Cooman, Erik Quaeghebeur, Gregory R. Wheeler
2019	J	`jnl`	On Pruning for Score-Based Bayesian Network Structure Learning. CoRR Alvaro H. C. Correia, James Cussens, Cassio P. de Campos
2019	—	`conf`	Robustness in Sum-Product Networks with Continuous and Categorical Data. ISIPTA Rob Wit, Cassio P. de Campos, Diarmaid Conaty, Jesús Martínez del Rincón
2019	—	`conf`	Towards Scalable and Robust Sum-Product Networks. SUM Alvaro H. C. Correia, Cassio P. de Campos
2018	J	`jnl`	A new technique of selecting an optimal blocking method for better record linkage. Inf. Syst. Kevin O'Hare, Anna Jurek, Cassio P. de Campos
2018	—	`conf`	Cascading Sum-Product Networks using Robustness. PGM Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos
2018	J	`jnl`	Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	J	`jnl`	A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications. CoRR Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
2017	A	`conf`	Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. UAI Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá
2017	J	`jnl`	Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. CoRR Denis Deratani Mauá, Cassio P. de Campos
2017	—	`conf`	Credal Sum-Product Networks. ISIPTA Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos
2017	J	`jnl`	Efficient learning of Bayesian networks with bounded tree-width. Int. J. Approx. Reason. Siqi Nie, Cassio P. de Campos, Qiang Ji
2017	J	`jnl`	Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	J	`jnl`	Introduction to the special issue on statistical and computational methods for genomics and integrative genomics. Int. J. Approx. Reason. Cassio P. de Campos, Paola M. V. Rancoita
2017	J	`jnl`	Joint Analysis of Multiple Algorithms and Performance Measures. New Gener. Comput. Cassio P. de Campos, Alessio Benavoli
2017	A*	`conf`	Learning Bayesian Networks with Incomplete Data by Augmentation. AAAI Tameem Adel, Cassio P. de Campos
2016	J	`jnl`	Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. Entropy Alessio Benavoli, Cassio P. de Campos
2016	J	`jnl`	Bayesian network data imputation with application to survival tree analysis. Comput. Stat. Data Anal. Paola M. V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni, Cassio P. de Campos
2016	A*	`conf`	Learning Bayesian Networks with Bounded Tree-width via Guided Search. AAAI Siqi Nie, Cassio P. de Campos, Qiang Ji
2016	J	`jnl`	Learning Bayesian Networks without Assuming Missing at Random. CoRR Tameem Adel, Cassio P. de Campos
2016	J	`jnl`	Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	—	`conf`	Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	J	`jnl`	Learning extended tree augmented naive structures. Int. J. Approx. Reason. Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
2016	J	`jnl`	Ordering Quantiles through Confidence Statements. Entropy Cassio P. de Campos, Carlos Alberto De Bragança Pereira, Paola M. V. Rancoita, Adriano Polpo
2015	J	`jnl`	Approximate credal network updating by linear programming with applications to decision making. Int. J. Approx. Reason. Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
2015	J	`jnl`	Averaged Extended Tree Augmented Naive Classifier. Entropy Aaron Meehan, Cassio P. de Campos
2015	J	`jnl`	Imprecision in Machine Learning and AI. IEEE Intell. Informatics Bull. Cassio P. de Campos, Alessandro Antonucci
2015	—	`conf`	Learning Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
2015	C	`conf`	Learning Bounded Tree-Width Bayesian Networks via Sampling. ECSQARU Siqi Nie, Cassio P. de Campos, Qiang Ji
2015	—	`conf`	Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI Alessio Benavoli, Cassio P. de Campos
2015	A*	`conf`	The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. IJCAI Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman
2014	—	`conf`	Advances in Learning Bayesian Networks of Bounded Treewidth. NIPS Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji
2014	—	`conf`	Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
2014	—	`conf`	Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci
2014	—	`conf`	Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon
2014	J	`jnl`	Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
2014	J	`jnl`	Transform both sides model: A parametric approach. Comput. Stat. Data Anal. Adriano Polpo, Cassio P. de Campos, Debajyoti Sinha, Stuart R. Lipsitz, Jianhang Lin
2013	J	`jnl`	A Structured View on Weighted Counting with Relations to Quantum Computation and Applications. Electron. Colloquium Comput. Complex. Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland
2013	C	`conf`	Approximating Credal Network Inferences by Linear Programming. ECSQARU Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
2012	J	`jnl`	Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2012	J	`jnl`	Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2011	C	`conf`	Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems. ECSQARU Cassio P. de Campos, Qiang Ji
2011	J	`jnl`	Efficient Structure Learning of Bayesian Networks using Constraints. J. Mach. Learn. Res. Cassio P. de Campos, Qiang Ji
2011	J	`jnl`	Improving parameter learning of Bayesian nets from incomplete data CoRR Giorgio Corani, Cassio P. de Campos
2011	A*	`conf`	Inference with Multinomial Data: Why to Weaken the Prior Strength. IJCAI Cassio P. de Campos, Alessio Benavoli
2011	A*	`conf`	New Complexity Results for MAP in Bayesian Networks. IJCAI Cassio P. de Campos
2010	J	`jnl`	A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. Giorgio Corani, Cassio P. de Campos
2010	B	`conf`	An Improved Structural EM to Learn Dynamic Bayesian Nets. ICPR Cassio P. de Campos, Zhi Zeng, Qiang Ji
2010	J	`jnl`	Generalized loopy 2U: A new algorithm for approximate inference in credal networks. Int. J. Approx. Reason. Alessandro Antonucci, Yi Sun, Cassio P. de Campos, Marco Zaffalon
2010	J	`jnl`	New Results for the MAP Problem in Bayesian Networks CoRR Cassio P. de Campos
2010	A*	`conf`	Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures. AAAI Cassio P. de Campos, Qiang Ji
2009	C	`conf`	Inference from Multinomial Data Based on a MLE-Dominance Criterion. ECSQARU Alessio Benavoli, Cassio P. de Campos
2009	A*	`conf`	Structure learning of Bayesian networks using constraints. ICML Cassio P. de Campos, Zhi Zeng, Qiang Ji
2008	—	`conf`	Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition. ECCV (3) Cassio P. de Campos, Yan Tong, Qiang Ji
2008	B	`conf`	Improving Bayesian Network parameter learning using constraints. ICPR Cassio P. de Campos, Qiang Ji
2008	A	`conf`	Strategy Selection in Influence Diagrams using Imprecise Probabilities. UAI Cassio P. de Campos, Qiang Ji
2006	—	`conf`	Probabilistic Logic with Strong Independence. IBERAMIA-SBIA Fábio Gagliardi Cozman, Cassio P. de Campos, José Carlos Ferreira da Rocha