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A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures
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A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures

da Silva, Cleber A.C.F. ; Carneiro Rosa, Daniel ; Miranda, Pericles B.C. ; Cordeiro, Filipe R. ; Si, Tapas ; Nascimento, Andre C.A. ; Mello, Rafael F. L. ; de Mattos Neto, Paulo S. G.

2021 IEEE Congress on Evolutionary Computation (CEC), 2021, p.2187-2194

IEEE

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2
A Hybrid Model With Error Correction for Wind Speed Forecasting
A Hybrid Model With Error Correction for Wind Speed Forecasting
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A Hybrid Model With Error Correction for Wind Speed Forecasting

Barchi, Tathiana M. ; Costa, Lucas F. P. ; Puchta, Erickson ; Martins, Marcella S. R. ; de Andrade, Mauren Louise Sguario Coelho ; de Mattos Neto, Paulo S. G. ; Valadares Siqueira, Hugo

2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2021, p.1-6

IEEE

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3
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems
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Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems

Almeida, Diogo M. ; de Mattos Neto, Paulo S. G. ; Cunha, Daniel C.

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-8

IEEE

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4
Improving the accuracy of intelligent forecasting models using the Perturbation Theory
Improving the accuracy of intelligent forecasting models using the Perturbation Theory
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Improving the accuracy of intelligent forecasting models using the Perturbation Theory

Silva, Eraylson. G. ; de O. Juunior, Domingos S. ; Cavalcanti, George D. C. ; de Mattos Neto, Paulo S. G.

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-7

IEEE

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5
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting
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Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting

de Mattos Neto, Paulo S.G. ; Ferreira, Tiago A.E.

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.2104-2109

IEEE

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6
NEXT: graphical editor for authoring NCL documents supporting composite templates
NEXT: graphical editor for authoring NCL documents supporting composite templates
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NEXT: graphical editor for authoring NCL documents supporting composite templates

Paulo de Mattos, Douglas ; Varanda da Silva, Júlia ; Muchaluat-Saade, Débora Christina

Proceedings of the 11th European Conference on Interactive TV and Video, 2013, p.89-98

New York, NY, USA: ACM

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7
Time series forecasting using a perturbative intelligent system
Time series forecasting using a perturbative intelligent system
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Time series forecasting using a perturbative intelligent system

de Mattos Neto, Paulo S.G. ; Lima Junior, Aranildo R. ; Ferreira, Tiago A.E.

Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010, p.1477-1478

New York, NY, USA: ACM

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8
An experimental study of fitness function and time series forecasting using artificial neural networks
An experimental study of fitness function and time series forecasting using artificial neural networks
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An experimental study of fitness function and time series forecasting using artificial neural networks

Lima Junior, Aranildo Rodrigues ; Silva, David Augusto ; Mattos Neto, Paulo Salgado ; Ferreira, Tiago A.E.

Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2010, p.2015-2018

New York, NY, USA: ACM

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9
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data
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A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data

Santos, H. C. T. ; Alves, G. I. L. ; de Lima, N. F. ; de Mattos Neto, P. S. G. ; Ferreira, T. A. E.

2012 Brazilian Symposium on Neural Networks, 2012, p.244-249

IEEE

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10
An intelligent perturbative approach for the time series forecasting problem
An intelligent perturbative approach for the time series forecasting problem
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An intelligent perturbative approach for the time series forecasting problem

de Mattos Neto, Paulo S.G. ; Lima, Aranildo R. ; Ferreira, Tiago A.E. ; Cavalcanti, George D.C.

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-8

IEEE

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