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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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2
A prime step in the time series forecasting with hybrid methods: The fitness function choice
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A prime step in the time series forecasting with hybrid methods: The fitness function choice

Aranildo Rodrigues, L.J. ; de Mattos Neto, P.S.G. ; Ferreira, T.A.E.

2009 International Joint Conference on Neural Networks, 2009, p.2703-2710

IEEE

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3
An Evolutionary Approach to Forecasting Models Hybridization
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An Evolutionary Approach to Forecasting Models Hybridization

Ascendina, Camila ; De Mattos Neto, Paulo S. G. ; De Oliveira, Joao Fausto L. ; De Miranda, Pericles B. C.

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024, p.134-139

New York, NY, USA: ACM

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4
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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5
Face detection method and vivacity: exploring new paradigms interaction
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Face detection method and vivacity: exploring new paradigms interaction

Betencourt, Paulo Ricardo Baptista ; Santos, Cristina Paludo ; Podgorski, Elisiara Kronbauer, Artur Henrique ; Mattos, Ecivaldo ; Sampaio, Andreia Libório ; Boscarioli, Clodis

Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems, 2015, p.1-10

New York, NY, USA: ACM

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6
A New Methodology for Classifying QRS Morphology in ECG Signals
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A New Methodology for Classifying QRS Morphology in ECG Signals

Caldas, Weslley L. ; Paulo V. Madeiro, Joao ; Mattos, Cesar Lincoln C. ; Gomes, Joao Paulo P.

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-9

IEEE

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7
Complexity and Collective Intelligence on Demand for a Sustainable Future
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Complexity and Collective Intelligence on Demand for a Sustainable Future

Camargo, Paulo ; Mattos, Sergio ; Goldenberg, Carlos

2020 IEEE 14th International Conference on Semantic Computing (ICSC), 2020, p.347-349

IEEE

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8
Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System
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Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System

Carvalho, Davi ; Melo, Jose F. V. ; Silva, Eraylson G. ; Wesley, Jose ; Passos, Dioeliton ; De Mattos Neto, Paulo S. G.

2023 Workshop on Communication Networks and Power Systems (WCNPS), 2023, p.1-7

IEEE

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9
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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10
Hybrid System for Time Series using Iterative Residual Forecasting Models
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Hybrid System for Time Series using Iterative Residual Forecasting Models

da Silva, Eraylson G. ; de Mattos Neto, Paulo S.G. ; de Oliveira, Joao F.L.

2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, p.872-877

IEEE

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