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Braga, Antônio Pádua
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1

Cost-Sensitive Learning based on Performance Metric for Imb..:

Aurelio, Yuri Sousa ; de Almeida, Gustavo Matheus ; de Castro, Cristiano Leite.
Neural Processing Letters.  54 (2022)  4 - p. 3097-3114 , 2022
Link: https://doi.org/10.1007/..
 
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2

RBF Neural Networks Design with Graph Based Structural Info..:

Queiroz, Marcelo ; Coelho, Frederico ; Torres, Luiz C. B....
Neural Processing Letters.  55 (2022)  4 - p. 4719-4733 , 2022
Link: https://doi.org/10.1007/..
 
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3

Industrial case study of causal modeling of continuous cast..:

, In: 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI),
Caldeira Silva, Danilo A. ; Salis, Turibio Tanus ; Braga, Antonio Padua - p. 1-6 , 2021
Link: https://doi.org/10.1109/..
 
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4

An Advanced Pruning Method in the Architecture of Extreme L..:

de Campos Souza, Paulo Vitor ; Bambirra Torres, Luiz Carlos ; Lacerda Silva, Gustavo Rodrigues..
Electronics.  9 (2020)  5 - p. 811 , 2020
Link: https://doi.org/10.3390/..
 
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5

Learning from Imbalanced Data Sets with Weighted Cross-Entr..:

Aurelio, Yuri Sousa ; de Almeida, Gustavo Matheus ; de Castro, Cristiano Leite.
Neural Processing Letters.  50 (2019)  2 - p. 1937-1949 , 2019
Link: https://doi.org/10.1007/..
 
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6

Multi-objective Decision in Machine Learning:

de Medeiros, Talles Henrique ; Rocha, Honovan Paz ; Torres, Frank Sill..
Journal of Control, Automation and Electrical Systems.  28 (2016)  2 - p. 217-227 , 2016
Link: https://doi.org/10.1007/..
 
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7

Dataset structure as prior information for parameter-free r..:

Silvestre, Leonardo José ; Lemos, André Paim ; Braga, João Pedro.
Neurocomputing.  169 (2015)  - p. 288-294 , 2015
Link: https://doi.org/10.1016/..
 
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8

Stream-Based Extreme Learning Machine Approach for Big Data..:

Horta, Euler Guimarães ; Castro, Cristiano Leite de ; Braga, Antônio Pádua
Mathematical Problems in Engineering.  2015 (2015)  - p. 1-17 , 2015
Link: https://doi.org/10.1155/..
 
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9

Information storage and retrieval analysis of hierarchicall..:

Gomes, Rogério Martins ; Braga, Antônio Pádua ; Borges, Henrique Elias
Information Sciences.  195 (2012)  - p. 175-189 , 2012
Link: https://doi.org/10.1016/..
 
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10

Convergence analysis of sliding mode trajectories in multi-..:

Costa, Marcelo Azevedo ; Braga, Antonio Padua ; de Menezes, Benjamin Rodrigues
Neural Networks.  33 (2012)  - p. 21-31 , 2012
Link: https://doi.org/10.1016/..
 
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11

Protein Classification with Extended-Sequence Coding by Sli..:

Rodrigues, Thiago de Souza ; Cardoso, Fernanda Caldas ; Ribeiro Teixeira, Santuza Maria..
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).  8 (2011)  6 - p. 1721-1726 , 2011
Link: https://dl.acm.org/doi/1..
 
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12

Semi-supervised model applied to the prediction of the resp..:

Coelho, Frederico ; Braga, Antônio de Pádua ; Natowicz, René.
Soft Computing.  15 (2010)  6 - p. 1137-1144 , 2010
Link: https://doi.org/10.1007/..
 
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13

Analysis of Time Series Novelty Detection Strategies for Sy..:

Modenesi, André Paoliello ; Braga, Antônio Pádua
Neural Processing Letters.  30 (2009)  1 - p. 1-17 , 2009
Link: https://doi.org/10.1007/..
 
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14

An Improved Algorithm for SVMs Classification of Imbalanced..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Castro, Cristiano Leite ; Carvalho, Mateus Araujo ; Braga, Antônio Padua - p. 108-118 , 2009
Link: https://doi.org/10.1007/..
 
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15

Genetic Algorithm Applied to Hierarchically Coupled Associa..:

, In: Advances in Experimental Medicine and Biology; Brain Inspired Cognitive Systems 2008,
Gomes, Rogério Martins ; Braga, Antônio Pádua ; Borges, Henrique E. - p. 187-199 , 2009
Link: https://doi.org/10.1007/..
 
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