Edimilson Batista dos Santos

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 6

Top Topics

Bayesian Classifier

Learning Algorithm

Bayesian Networks

Top Venues

Expert Syst. J. Knowl. Eng.

Frontiers Artif. Intell.

Publications

Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm. ICMLA (2023)
Rodrigo Ribeiro Caputo, Edimilson Batista dos Santos, Leonardo Chaves Dutra da Rocha
Convolutional neural networks applied to data organized as OLAP cubes. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment. BRACIS (1) (2022)
Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano Maciel da Silva, Daniel Ludovico Guidoni
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data. Frontiers Artif. Intell. 4 (2021)
Edimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System. BRACIS (2019)
Edimilson Batista dos Santos, Massilon Lourenço Fernandes, Estevam R. Hruschka Jr., Maísa Cristina Duarte
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System. ISDA (2016)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. Int. J. Hybrid Intell. Syst. 11 (3) (2014)
Edimilson Batista dos Santos, Caio César Teodoro Mendes, Fernando Santos Osório, Denis Fernando Wolf
Bayesian networks for obstacle classification in agricultural environments. ITSC (2013)
Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.
Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA (2011)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
Bayesian network classifiers: Beyond classification accuracy. Intell. Data Anal. 15 (3) (2011)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2010)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. ICMLA (2010)
Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
Feature-weighted k-Nearest Neighbor Classifier. FOCI (2007)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. IEEE Congress on Evolutionary Computation (2007)
Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach. HIS (2007)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr.
VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. HIS (2006)