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Edimilson Batista dos Santos
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2020 – today
- 2023
- [j4]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) - [c12]Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia:
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm. ICMLA 2023: 1852-1858 - 2022
- [c11]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: 221-236 - 2021
- [j3]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: 579931 (2021)
2010 – 2019
- 2019
- [c10]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: 687-692 - 2016
- [c9]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: 279-288 - 2014
- [j2]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): 183-195 (2014) - 2013
- [c8]Edimilson Batista dos Santos, Caio César Teodoro Mendes, Fernando Santos Osório
, Denis Fernando Wolf:
Bayesian networks for obstacle classification in agricultural environments. ITSC 2013: 1416-1421 - 2011
- [j1]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): 279-298 (2011) - [c7]Edimilson Batista dos Santos, Nelson F. F. Ebecken
, Estevam R. Hruschka Jr.:
Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA 2011: 362-367 - 2010
- [c6]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: 1-8 - [c5]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: 430-435
2000 – 2009
- 2007
- [c4]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: 1444-1449 - [c3]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: 481-486 - [c2]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: 204-209 - 2006
- [c1]Edimilson Batista dos Santos, Estevam R. Hruschka Jr.:
VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. HIS 2006: 56
Coauthor Index
aka: Estevam R. Hruschka Jr.

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