Edimilson Batista dos Santos - researchr alias

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Viewing Publication 1 - 16 from 16

2023

Convolutional neural networks applied to data organized as OLAP cubesRodrigo Ribeiro Caputo, Edimilson Batista dos Santos, Leonardo Chaves Dutra da Rocha. es, 40(10), December 2023. [doi]

Combining Improvements in FQF Distributional Reinforcement Learning AlgorithmJúlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia. icmla 2023: 1852-1858 [doi]

2022

Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar EnvironmentJúlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia. bracis 2022: 221-236 [doi]

2021

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian DataFernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano Maciel da Silva, Daniel Ludovico Guidoni. frai, 4:579931, 2021. [doi]

2019

Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning SystemEdimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno. bracis 2019: 687-692 [doi]

2016

Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning SystemEdimilson Batista dos Santos, Massilon Lourenço Fernandes, Estevam R. Hruschka Jr., Maísa Cristina Duarte. isda 2017: 279-288 [doi]

2014

The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from dataEdimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken. ijhis, 11(3):183-195, 2014. [doi]

2013

Bayesian networks for obstacle classification in agricultural environmentsEdimilson Batista dos Santos, Caio César Teodoro Mendes, Fernando Santos Osório, Denis Fernando Wolf. itsc 2013: 1416-1421 [doi]

2011

Learning Bayesian Network structures using Multiple Offspring SamplingEdimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.. isda 2011: 362-367 [doi]

Bayesian network classifiers: Beyond classification accuracyEdimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken. ida, 15(3):279-298, 2011. [doi]

2010

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network StructuresEdimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken. icmla 2010: 430-435 [doi]

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary AlgorithmsEdimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken. cec 2010: 1-8 [doi]

2007

2006

VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian ClassifiersEdimilson Batista dos Santos, Estevam R. Hruschka Jr.. his 2006: 56 [doi]

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