Edimilson Batista dos Santos

16 papers B 2C 6Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2023 C conf
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm.
ICMLA
Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
2023 J jnl
Convolutional neural networks applied to data organized as OLAP cubes.
Expert Syst. J. Knowl. Eng.
Rodrigo Ribeiro Caputo, Edimilson Batista dos Santos, Leonardo Chaves Dutra da Rocha
2022 — conf
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment.
BRACIS (1)
Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
2021 J jnl
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data.
Frontiers Artif. Intell.
Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano Maciel da Silva, Daniel Ludovico Guidoni
2019 — conf
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System.
BRACIS
Edimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno
2016 C conf
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System.
ISDA
Edimilson Batista dos Santos, Massilon Lourenço Fernandes, Estevam R. Hruschka Jr., Maísa Cristina Duarte
2014 J jnl
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst.
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken
2013 — conf
Bayesian networks for obstacle classification in agricultural environments.
ITSC
Edimilson Batista dos Santos, Caio César Teodoro Mendes, Fernando Santos Osório, Denis Fernando Wolf
2011 J jnl
Bayesian network classifiers: Beyond classification accuracy.
Intell. Data Anal.
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2011 C conf
Learning Bayesian Network structures using Multiple Offspring Sampling.
ISDA
Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.
2010 B conf
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
IEEE Congress on Evolutionary Computation
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2010 C conf
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures.
ICMLA
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2007 B conf
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
IEEE Congress on Evolutionary Computation
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007 — conf
Feature-weighted k-Nearest Neighbor Classifier.
FOCI
Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
2007 C conf
Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.
HIS
Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
2006 C conf
VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers.
HIS
Edimilson Batista dos Santos, Estevam R. Hruschka Jr.