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Santos, Edimilson Batista dos
37  Ergebnisse:
Personensuche X
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1

Improving the FQF Distributional Reinforcement Learning Alg..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Resende, Júlio César Mendes de ; Santos, Edimilson Batista dos ; Laia, Marcos Antonio de Matos - p. 221-236 , 2022
Link: https://doi.org/10.1007/..
 
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2

Convolutional neural networks applied to data organized as ..:

Caputo, Rodrigo Ribeiro ; dos Santos, Edimilson Batista ; da Rocha, Leonardo Chaves Dutra
Expert Systems.  40 (2023)  10 - p. , 2023
Link: https://doi.org/10.1111/..
 
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3

Combining Improvements in FQF Distributional Reinforcement ..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Mendes De Resende, Julio Cesar ; Dos Santos, Edimilson Batista ; De Matos Laia, Marcos Antonio - p. 1852-1858 , 2023
Link: https://doi.org/10.1109/..
 
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4

Predicting the Disease Outcome in COVID-19 Positive Patient..:

De Souza, Fernanda Sumika Hojo ; Hojo-Souza, Natália Satchiko ; Dos Santos, Edimilson Batista..
Frontiers in Artificial Intelligence.  4 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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5

Bayesian Classifiers Applied to the Tennessee Eastman Proce..:

dos Santos, Edimilson Batista ; Ebecken, Nelson F. F. ; Hruschka Jr., Estevam R...
Risk Analysis.  34 (2013)  3 - p. 485-497 , 2013
Link: https://doi.org/10.1111/..
 
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6

Conditional independence based learning of bayesian classif..:

, In: 2007 IEEE Congress on Evolutionary Computation,
dos Santos, Edimilson Batista ; Hruschka, Estevam Rafael ; do Carmo Nicoletti, Maria - p. None , 2007
Link: https://doi.org/10.1109/..
 
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7

Reformulação de um sistema de tratamento e reconhecimento d..:

Santos, Edimilson Batista dos
SANTOS, E. B. Reformulação de um sistema de tratamento e reconhecimento de padrões para uma microbalança de quartzo utilizando redes neurais artificiais. 2002. 57 p. Monografia (Graduação em Ciência da Computação) - Universidade Federal de Lavras, Lavras, 2002..  , 2015
Link: http://repositorio.ufla...
 
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8

A ordenação das variáveis no processo de otimização de clas..:

Santos, Edimilson Batista dos
https://repositorio.ufscar.br/handle/ufscar/361.  , 2007
Link: https://repositorio.ufsc..
 
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9

Learning Bayesian Networks from the Knowledge of a Never-En..:

Avelar de Carvalho, Rogers R. ; Batista dos Santos, Edimilson
IEEE Latin America Transactions.  20 (2022)  8 - p. 2046-2053 , 2022
Link: https://doi.org/10.1109/..
 
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10

Bayesian Networks for Inference and Discovery of Semantic R..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),
Batista dos Santos, Edimilson ; Rodrigues, Igor Henrique P. ; Hruschka, Estevam R.. - p. 687-692 , 2019
Link: https://doi.org/10.1109/..
 
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11

Predicting the Disease Outcome in COVID-19 Positive Patient..:

De Souza, Fernanda Sumika Hojo ; Hojo-Souza, Natália Satchiko ; Dos Santos, Edimilson Batista..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427867/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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12

Predicting the Disease Outcome in COVID-19 Positive Patient..:

Fernanda Sumika Hojo De Souza ; Natália Satchiko Hojo-Souza ; Edimilson Batista Dos Santos..
https://www.frontiersin.org/articles/10.3389/frai.2021.579931/full.  , 2021
Link: https://doi.org/10.3389/..
 
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13

Presentation1_Predicting the Disease Outcome in COVID-19 Po..:

Fernanda Sumika Hojo De Souza ; Natália Satchiko Hojo-Souza ; Edimilson Batista Dos Santos..
doi:10.3389/frai.2021.579931.s001.  , 2021
Link: https://doi.org/10.3389/..
 
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14

Presentation1_Predicting the Disease Outcome in COVID-19 Po..:

Fernanda Sumika Hojo De Souza (11271561) ; Natália Satchiko Hojo-Souza (9361849) ; Edimilson Batista Dos Santos (11271564)..
https://figshare.com/articles/presentation/Presentation1_Predicting_the_Disease_Outcome_in_COVID-19_Positive_Patients_Through_Machine_Learning_A_Retrospective_Cohort_Study_With_Brazilian_Data_zip/15163314.  , 2021
Link: https://doi.org/10.3389/..
 
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15

Human blood venom levels after Africanized honey bee (Apis ..:

Tavares, Francilene Capel ; De Oliveira, Laudicéia Alves ; Barbosa, Alexandre Naime...
Toxicon.  168 (2019)  - p. S37-S38 , 2019
Link: https://doi.org/10.1016/..
 
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