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ORCIDCassio P. de Campos
Cassio Polpo de Campos – Cassio de Campos
Person information
- affiliation (since 2019): Eindhoven University of Technology, Department of Mathematics and Computer Science, The Netherlands
- affiliation (2017-2019): Utrecht University, Department of Information and Computing Sciences, The Netherlands
- affiliation (2014-2017): Queen's University Belfast, Centre for Data Science and Scalable Computing, UK
- affiliation (2008-2014): Dalle Molle Institute for Artificial Intelligence, Switzerland
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2020 – today
- 2026
[j39]Vu-Linh Nguyen
, Xuan-Truong Hoang, Sébastien Destercke, Cassio de Campos, Van-Nam Huynh:
Robust Multi-label Classification via Preference Learning. Mach. Learn. 115(9): 211 (2026)- 2025
- [j38]Soroush Ghandi, Benjamin Quost, Cassio P. de Campos:
Soft learning probabilistic circuits. Int. J. Approx. Reason. 185: 109467 (2025) - [j37]Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari:
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Trans. Mach. Learn. Res. 2025 (2025) - [c57]Mykola Pechenizkiy, Hilde J. P. Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich:
From Benchmarking to Understanding FairML. ECAI 2025: 38-45 - [c56]Niccolò Rocchi, Fabio Stella, Cassio de Campos:
Towards Privacy-Aware Bayesian Networks: A Credal Approach. ECAI 2025: 5043-5050 - [c55]Soroush Ghandi, Benjamin Quost, Cassio de Campos:
Imposing Constraints in Probabilistic Circuits via Gradient Optimization. IDA 2025: 209-220 - [c54]Marco Sangalli, Thomas Krak, Cassio de Campos:
Towards conservative inference in credal networks using belief functions: the case of credal chains. ISIPTA 2025: 231-241 - [i30]Marco Sangalli, Thomas Krak, Cassio de Campos:
Towards conservative inference in credal networks using belief functions: the case of credal chains. CoRR abs/2507.07619 (2025) - [i29]Niccolò Rocchi, Fabio Stella, Cassio de Campos:
Towards Privacy-Aware Bayesian Networks: A Credal Approach. CoRR abs/2509.18949 (2025) - 2024
- [j36]Rafael Rodrigues Mendes Ribeiro, Jordão Natal de Oliveira Júnior, Cassio Polpo de Campos, Carlos Dias Maciel:
Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score. Appl. Intell. 54(6): 4668-4688 (2024) - [j35]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: 109150 (2024) - [j34]David Ricardo Montalvan Hernandez, Tijn Centen, Thomas Krak, Erik Quaeghebeur, Cassio de Campos:
Beyond tree-shaped credal probabilistic circuits. Int. J. Approx. Reason. 171: 109047 (2024) - [c53]Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur:
Probabilistic Integral Circuits. AISTATS 2024: 2143-2151 - [c52]David Ricardo Montalvan Hernandez, Thomas Krak, Cassio de Campos:
Dempster-Shafer Credal Probabilistic Circuits. BELIEF 2024: 31-39 - [c51]Gennaro Gala, Cassio P. de Campos, Antonio Vergari, Erik Quaeghebeur:
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits. NeurIPS 2024 - [c50]Soroush Ghandi, Benjamin Quost, Cassio de Campos:
Soft Learning Probabilistic Circuits. PGM 2024: 273-294 - [c49]Soroush Ghandi, Benjamin Quost, Cassio de Campos:
Probabilistic Circuits with Constraints via Convex Optimization. ECML/PKDD (3) 2024: 161-177 - [i28]Soroush Ghandi, Benjamin Quost, Cassio de Campos:
Probabilistic Circuits with Constraints via Convex Optimization. CoRR abs/2403.13125 (2024) - [i27]Soroush Ghandi, Benjamin Quost, Cassio de Campos:
Soft Learning Probabilistic Circuits. CoRR abs/2403.14504 (2024) - [i26]Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur:
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits. CoRR abs/2406.06494 (2024) - [i25]Wieger Wesselink, Bram Grooten, Qiao Xiao, Cassio de Campos, Mykola Pechenizkiy:
Nerva: a Truly Sparse Implementation of Neural Networks. CoRR abs/2407.17437 (2024) - [i24]Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari:
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? CoRR abs/2409.07953 (2024) - 2023
- [c48]Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz:
Continuous Mixtures of Tractable Probabilistic Models. AAAI 2023: 7244-7252 - [c47]David Ricardo Montalvan Hernandez, Cassio de Campos:
Portfolio Optimization via Credal Probabilistic Circuits. ICAIF 2023: 646-654 - [c46]Vu-Linh Nguyen, Yang Yang, Cassio de Campos:
Probabilistic Multi-Dimensional Classification. UAI 2023: 1522-1533 - [i23]Vu-Linh Nguyen, Yang Yang, Cassio de Campos:
Probabilistic Multi-Dimensional Classification. CoRR abs/2306.06517 (2023) - [i22]Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur:
Probabilistic Integral Circuits. CoRR abs/2310.16986 (2023) - 2022
- [j33]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): 24:1-24:17 (2022) - [i21]Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz:
Continuous Mixtures of Tractable Probabilistic Models. CoRR abs/2209.10584 (2022) - 2021
- [j32]Denis Deratani Mauá, Cassio Polpo de Campos:
Special Issue on Robustness in Probabilistic Graphical Models. Int. J. Approx. Reason. 137: 113 (2021) - [c45]Alessio Benavoli, Cassio P. de Campos:
Bayesian Independence Test with Mixed-type Variables. DSAA 2021: 1-13 - [e3]Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur:
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Proceedings of Machine Learning Research 161, AUAI Press 2021 [contents] - [i20]Alessio Benavoli, Cassio P. de Campos:
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. CoRR abs/2105.04001 (2021) - 2020
- [j31]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: 104627 (2020) - [c44]Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos:
On Pruning for Score-Based Bayesian Network Structure Learning. AISTATS 2020: 2709-2718 - [c43]Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Joints in Random Forests. NeurIPS 2020 - [c42]Cassio P. de Campos:
Almost No News on the Complexity of MAP in Bayesian Networks. PGM 2020: 149-160 - [i19]Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Joints in Random Forests. CoRR abs/2006.14937 (2020) - [i18]Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Towards Robust Classification with Deep Generative Forests. CoRR abs/2007.05721 (2020)
2010 – 2019
- 2019
- [j30]Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos:
An unsupervised blocking technique for more efficient record linkage. Data Knowl. Eng. 122: 181-195 (2019) - [j29]Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos:
A hierarchy of sum-product networks using robustness. Int. J. Approx. Reason. 113: 245-255 (2019) - [c41]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: 78-81 - [c40]Rob Wit, Cassio P. de Campos, Diarmaid Conaty, Jesús Martínez del Rincón:
Robustness in Sum-Product Networks with Continuous and Categorical Data. ISIPTA 2019: 156-158 - [c39]Alvaro H. C. Correia, Cassio P. de Campos:
Towards Scalable and Robust Sum-Product Networks. SUM 2019: 409-422 - [e2]Jasper De Bock, Cassio P. de Campos, Gert de Cooman, Erik Quaeghebeur, Gregory R. Wheeler:
International Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA 2019, 3-6 July 2019, Thagaste, Ghent, Belgium. Proceedings of Machine Learning Research 103, PMLR 2019 [contents] - [i17]Alvaro H. C. Correia, James Cussens, Cassio P. de Campos:
On Pruning for Score-Based Bayesian Network Structure Learning. CoRR abs/1905.09943 (2019) - 2018
- [j28]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260: 42-50 (2018) - [j27]Denis Deratani Mauá, Diarmaid Conaty, Fábio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo de Campos:
Robustifying sum-product networks. Int. J. Approx. Reason. 101: 163-180 (2018) - [j26]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: 151-166 (2018) - [j25]Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon:
Approximate structure learning for large Bayesian networks. Mach. Learn. 107(8-10): 1209-1227 (2018) - [c38]Diarmaid Conaty, Jesús Martínez del Rincón, Cassio P. de Campos:
Cascading Sum-Product Networks using Robustness. PGM 2018: 73-84 - 2017
- [j24]Siqi Nie, Cassio P. de Campos, Qiang Ji:
Efficient learning of Bayesian networks with bounded tree-width. Int. J. Approx. Reason. 80: 412-427 (2017) - [j23]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: 272-273 (2017) - [j22]Cassio P. de Campos, Alessio Benavoli:
Joint Analysis of Multiple Algorithms and Performance Measures. New Gener. Comput. 35(1): 69-86 (2017) - [c37]Tameem Adel, Cassio P. de Campos:
Learning Bayesian Networks with Incomplete Data by Augmentation. AAAI 2017: 1684-1690 - [c36]Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos:
Credal Sum-Product Networks. ISIPTA 2017: 205-216 - [c35]Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá:
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. UAI 2017 - [i16]Cassio P. de Campos, Georgios Stamoulis, Dennis Weyland:
A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications. CoRR abs/1701.06386 (2017) - [i15]Denis Deratani Mauá, Cassio P. de Campos:
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. CoRR abs/1703.06045 (2017) - [i14]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR abs/1707.06194 (2017) - 2016
- [j21]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: 373-387 (2016) - [j20]Alessio Benavoli, Cassio P. de Campos:
Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. Entropy 18(9): 326 (2016) - [j19]Cassio P. de Campos, Carlos Alberto De Bragança Pereira, Paola M. V. Rancoita, Adriano Polpo:
Ordering Quantiles through Confidence Statements. Entropy 18(10): 357 (2016) - [j18]Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon:
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68: 153-163 (2016) - [j17]Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos:
Hidden Markov models with set-valued parameters. Neurocomputing 180: 94-107 (2016) - [c34]Siqi Nie, Cassio P. de Campos, Qiang Ji:
Learning Bayesian Networks with Bounded Tree-width via Guided Search. AAAI 2016: 3294-3300 - [c33]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS 2016: 1462-1470 - [e1]Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos:
Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings. JMLR Workshop and Conference Proceedings 52, JMLR.org 2016 [contents] - [i13]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR abs/1605.03392 (2016) - [i12]Tameem Adel, Cassio P. de Campos:
Learning Bayesian Networks without Assuming Missing at Random. CoRR abs/1608.07734 (2016) - 2015
- [j16]Cassio P. de Campos, Alessandro Antonucci:
Imprecision in Machine Learning and AI. IEEE Intell. Informatics Bull. 16(1): 20-23 (2015) - [j15]Aaron Meehan, Cassio P. de Campos:
Averaged Extended Tree Augmented Naive Classifier. Entropy 17(7): 5085-5100 (2015) - [j14]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: 25-38 (2015) - [c32]Siqi Nie, Cassio P. de Campos, Qiang Ji:
Learning Bounded Tree-Width Bayesian Networks via Sampling. ECSQARU 2015: 387-396 - [c31]Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman:
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. IJCAI 2015: 889-895 - [c30]Alessio Benavoli, Cassio P. de Campos:
Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI 2015: 76-92 - [c29]Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon:
Learning Bayesian Networks with Thousands of Variables. NIPS 2015: 1864-1872 - 2014
- [j13]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: 903-913 (2014) - [j12]Fábio Gagliardi Cozman, Cassio Polpo de Campos:
Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms. Int. J. Approx. Reason. 55(2): 666-682 (2014) - [j11]Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci:
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50: 603-637 (2014) - [c28]Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci:
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. BRACIS 2014: 186-191 - [c27]Cassio Polpo de Campos, Georgios Stamoulis, Dennis Weyland:
The Computational Complexity of Stochastic Optimization. ISCO 2014: 173-185 - [c26]Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji:
Advances in Learning Bayesian Networks of Bounded Treewidth. NIPS 2014: 2285-2293 - [c25]Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci:
Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS 2014: 2690-2698 - [c24]Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon:
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models 2014: 176-189 - [c23]Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon:
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models 2014: 426-441 - [i11]Siqi Nie, Denis Deratani Mauá, Cassio Polpo de Campos, Qiang Ji:
Advances in Learning Bayesian Networks of Bounded Treewidth. CoRR abs/1406.1411 (2014) - 2013
- [j10]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artif. Intell. 205: 30-38 (2013) - [c22]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks. AAAI 2013: 217-223 - [c21]Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon:
Approximating Credal Network Inferences by Linear Programming. ECSQARU 2013: 13-24 - [c20]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. UAI 2013 - [i10]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. CoRR abs/1309.6845 (2013) - [i9]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. TR13: Article TR13-133 (2013) - 2012
- [j9]Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon:
Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. 53(8): 1183-1199 (2012) - [j8]Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon:
Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. 44: 97-140 (2012) - [c19]Denis Deratani Mauá, Cassio Polpo de Campos:
Anytime Marginal MAP Inference. ICML 2012 - [c18]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
The Complexity of Approximately Solving Influence Diagrams. UAI 2012: 604-613 - [i8]Cassio Polpo de Campos, Qiang Ji:
Strategy Selection in Influence Diagrams using Imprecise Probabilities. CoRR abs/1206.3246 (2012) - [i7]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks. CoRR abs/1207.1367 (2012) - [i6]Fábio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha:
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments. CoRR abs/1207.4121 (2012) - [i5]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
The Complexity of Approximately Solving Influence Diagrams. CoRR abs/1210.4890 (2012) - [i4]José Carlos Ferreira da Rocha, Fábio Gagliardi Cozman, Cassio Polpo de Campos:
Inference in Polytrees with Sets of Probabilities. CoRR abs/1212.2458 (2012) - 2011
- [j7]Cassio P. de Campos, Qiang Ji:
Efficient Structure Learning of Bayesian Networks using Constraints. J. Mach. Learn. Res. 12: 663-689 (2011) - [j6]José Carlos Ferreira da Rocha, Alaine Margarete Guimarães, Cassio Polpo de Campos:
Integração de evidências em redes credais e a regra de Jeffrey. RITA 18(2): 251-265 (2011) - [c17]Cassio P. de Campos, Qiang Ji:
Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems. ECSQARU 2011: 158-169 - [c16]Cassio P. de Campos:
New Complexity Results for MAP in Bayesian Networks. IJCAI 2011: 2100-2106 - [c15]Cassio P. de Campos, Alessio Benavoli:
Inference with Multinomial Data: Why to Weaken the Prior Strength. IJCAI 2011: 2107-2112 - [c14]Denis Deratani Mauá, Cassio Polpo de Campos:
Solving Decision Problems with Limited Information. NIPS 2011: 603-611 - [i3]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
Solving Limited Memory Influence Diagrams. CoRR abs/1109.1754 (2011) - [i2]Giorgio Corani, Cassio P. de Campos:
Improving parameter learning of Bayesian nets from incomplete data. CoRR abs/1110.3239 (2011) - 2010
- [j5]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): 474-484 (2010) - [j4]Giorgio Corani, Cassio P. de Campos:
A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. 51(9): 1053-1068 (2010) - [c13]Cassio P. de Campos, Qiang Ji:
Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures. AAAI 2010: 431-436 - [c12]Cassio P. de Campos, Zhi Zeng, Qiang Ji:
An Improved Structural EM to Learn Dynamic Bayesian Nets. ICPR 2010: 601-604 - [i1]Cassio P. de Campos:
New Results for the MAP Problem in Bayesian Networks. CoRR abs/1007.3884 (2010)
2000 – 2009
- 2009
- [j3]Cassio Polpo de Campos, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna:
Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence. J. Appl. Log. 7(2): 137-154 (2009) - [c11]Alessio Benavoli, Cassio P. de Campos:
Inference from Multinomial Data Based on a MLE-Dominance Criterion. ECSQARU 2009: 22-33 - [c10]Cassio P. de Campos, Zhi Zeng, Qiang Ji:
Structure learning of Bayesian networks using constraints. ICML 2009: 113-120 - 2008
- [j2]Fábio Gagliardi Cozman, Cassio Polpo de Campos, José Carlos Ferreira da Rocha:
Probabilistic logic with independence. Int. J. Approx. Reason. 49(1): 3-17 (2008) - [c9]Cassio P. de Campos, Yan Tong, Qiang Ji:
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition. ECCV (3) 2008: 168-181 - [c8]Cassio P. de Campos, Qiang Ji:
Improving Bayesian Network parameter learning using constraints. ICPR 2008: 1-4 - [c7]Cassio P. de Campos, Qiang Ji:
Strategy Selection in Influence Diagrams using Imprecise Probabilities. UAI 2008: 121-128 - 2007
- [j1]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Computing lower and upper expectations under epistemic independence. Int. J. Approx. Reason. 44(3): 244-260 (2007) - 2006
- [c6]Fábio Gagliardi Cozman, Cassio P. de Campos, José Carlos Ferreira da Rocha:
Probabilistic Logic with Strong Independence. IBERAMIA-SBIA 2006: 612-621 - 2005
- [c5]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
The Inferential Complexity of Bayesian and Credal Networks. IJCAI 2005: 1313-1318 - [c4]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Computing Lower and Upper Expectations under Epistemic Independence. ISIPTA 2005: 78-87 - [c3]Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks. UAI 2005: 153-160 - 2004
- [c2]Fábio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha:
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat. UAI 2004: 104-111 - 2003
- [c1]José Carlos Ferreira da Rocha, Fábio Gagliardi Cozman, Cassio Polpo de Campos:
Inference in Polytrees with Sets of Probabilities. UAI 2003: 217-224
Coauthor Index
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