Edimilson Batista dos Santos
Orcid: 0000-0003-4204-7061
According to our database1,
Edimilson Batista dos Santos
authored at least 16 papers
between 2006 and 2023.
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Bibliography
2023
Expert Syst. J. Knowl. Eng., December, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data.
Frontiers Artif. Intell., 2021
2019
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2016
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System.
Proceedings of the Intelligent Systems Design and Applications, 2016
2014
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst., 2014
2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2011
Intell. Data Anal., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2007
Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006