Edimilson Batista dos Santos

According to our database, Edimilson Batista dos Santos authored at least 16 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Convolutional neural networks applied to data organized as OLAP cubes.

Rodrigo Ribeiro Caputo, Edimilson Batista dos Santos, Leonardo Chaves Dutra da Rocha

Expert Syst. J. Knowl. Eng., December, 2023

Combining Improvements in FQF Distributional Reinforcement Learning Algorithm.

Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment.

Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia

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.

Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano Maciel da Silva, Daniel Ludovico Guidoni

Frontiers Artif. Intell., 2021

2019

Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System.

Edimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2016

Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System.

Edimilson Batista dos Santos, Massilon Lourenço Fernandes, Estevam R. Hruschka Jr., Maísa Cristina Duarte

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.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken

Int. J. Hybrid Intell. Syst., 2014

2013

Bayesian networks for obstacle classification in agricultural environments.

Edimilson Batista dos Santos, Caio César Teodoro Mendes, Fernando Santos Osório, Denis Fernando Wolf

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2011

Bayesian network classifiers: Beyond classification accuracy.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken

Intell. Data Anal., 2011

Learning Bayesian Network structures using Multiple Offspring Sampling.

Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.

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.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken

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.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2007

Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.

Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Feature-weighted k-Nearest Neighbor Classifier.

Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão

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.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers.

Edimilson Batista dos Santos, Estevam R. Hruschka Jr.

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006