Edimilson Batista dos Santos
Edimilson Batista dos Santos
Pesquisador de Ciência da Computação, Universidade Federal de São João del-Rei
Verified email at ufsj.edu.br
Title
Cited by
Cited by
Year
Feature-weighted k-nearest neighbor classifier
DP Vivencio, ER Hruschka, M do Carmo Nicoletti, EB dos Santos, ...
2007 IEEE Symposium on Foundations of Computational Intelligence, 481-486, 2007
332007
Bayesian classifiers applied to the Tennessee Eastman process
EB dos Santos, NFF Ebecken, ER Hruschka Jr, A Elkamel, ...
Risk Analysis 34 (3), 485-497, 2014
122014
Bayesian network classifiers: Beyond classification accuracy
EB dos Santos, ER Hruschka Jr, ER Hruschka, NFF Ebecken
Intelligent Data Analysis 15 (3), 279-298, 2011
102011
Evolutionary algorithm using random multi-point crossover operator for learning Bayesian network structures
EB dos Santos, ER Hruschka Jr, NFF Ebecken
2010 Ninth International Conference on Machine Learning and Applications …, 2010
102010
A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms
EB dos Santos, ER Hruschka, ER Hruschka, NFF Ebecken
IEEE Congress on Evolutionary Computation, 1-8, 2010
102010
VOGA: Variable ordering genetic algorithm for learning Bayesian classifiers
EB Dos Santos, ERH Junior
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06 …, 2006
102006
Conditional independence based learning of Bayesian classifiers guided by a variable ordering genetic search
EB dos Santos, ER Hruschka, M do Carmo Nicoletti
2007 IEEE Congress on Evolutionary Computation, 1444-1449, 2007
82007
Predicting the disease outcome in COVID-19 positive patients through Machine Learning: a retrospective cohort study with Brazilian data
FSH Souza, NS Hojo-Souza, EB Santos, CM Silva, DL Guidoni
medRxiv, 2020
42020
A ordenação das variáveis no processo de otimização de classificadores bayesianos: Uma abordagem evolutiva
EB Santos
Universidade Federal de São Carlos, 2007
42007
Bayesian networks for obstacle classification in agricultural environments
EB dos Santos, CCT Mendes, FS Osório, DF Wolf
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
32013
Learning Bayesian network structures using multiple offspring sampling
EB dos Santos, NFF Ebecken, ER Hruschka
2011 11th International Conference on Intelligent Systems Design and …, 2011
32011
Variable ordering in the conditional independence Bayesian classifier induction process: An evolutionary approach
R Estevam Jr, EB dos Santos, DCO Sebastian
7th International Conference on Hybrid Intelligent Systems (HIS 2007), 204-209, 2007
22007
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System
EB dos Santos, ML Fernandes, ER Hruschka, MC Duarte
International Conference on Intelligent Systems Design and Applications, 279-288, 2016
12016
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data
EB dos Santos, ER Hruschka Jr, M do Carmo Nicoletti, NFF Ebecken
International Journal of Hybrid Intelligent Systems 11 (3), 183-195, 2014
12014
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System
EB dos Santos, IHP Rodrigues, ER Hruschka, LR Bruno
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 687-692, 2019
2019
On the Analysis of Machine Learning Classifiers to Detect Traffic Congestion in Vehicular Networks
L Carvalho, M Silva, E Santos, D Guidoni
Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional …, 2019
2019
An optimized evolutionary conditional independence Bayesian Classifier induction process
ER Hruschka Jr, EB dos Santos, DCO Sebastian
Neural Network World 17 (6), 555, 2007
2007
Video tracking for an interactive training system
SCD PINTO, EB SANTOS, A VALERIO NETTO
SIBGRAPI 2006 - IX Brazilian Symposium on Computer Graphics and Image Processing, 2006
2006
Optimizing the induction of Bayesian Networks using PC and Variable Ordering Genetic Algorithms
TV Barbosa, EB dos Santos, ER Hruschka Jr
Score Metrics for Learning Bayesian Networks used as Fitness Function in a Genetic Algorithm
EB dos Santos, ER Hruschka Jr, NFF Ebecken
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Articles 1–20