Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods von Siqueira, Hugo, Macedo, Mariana, Tadano, Yara de Souza, Alves, Thiago Antonini, Stevan, Sergio L., Oliveira, Domingos S., Marinho, Manoel H.N., Neto, Paulo S.G. de Mattos, Oliveira,  João F. L. de, Luna, Ivette, Filho, Marcos de Almeida Leone, Sarubbo, Leonie Asfora, Converti, Attilio

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Nonlinear combination method of forecasters applied to PM time series von de Mattos Neto, Paulo S.G., Cavalcanti, George D.C., Madeiro, Francisco

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Neural-Based Ensembles and Unorganized Machines to Predict Streamflow Series from Hydroelectric Plants von Belotti, Jônatas, Siqueira, Hugo, Araujo, Lilian, Stevan, Sérgio L., de Mattos Neto, Paulo S.G., Marinho, Manoel H. N., de Oliveira, João Fausto L., Usberti, Fábio, Leone Filho, Marcos de Almeida, Converti, Attilio, Sarubbo, Leonie Asfora

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Hybrid intelligent system for air quality forecasting using phase adjustment von de Mattos Neto, Paulo S.G., Madeiro, Francisco, Ferreira, Tiago A.E., Cavalcanti, George D.C.

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Long-term correlations and cross-correlations in IBovespa and constituent companies von de Lima, Neílson F., Fernandes, Leonardo H.S., Jale, Jader S., de Mattos Neto, Paulo S.G., Stošić, Tatijana, Stošić, Borko, Ferreira, Tiago A.E.

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EsmamDS: A more diverse exceptional survival model mining approach von Vimieiro, Renato, Mattos, Juliana Barcellos, de Mattos Neto, Paulo S.G.

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A Hybrid System Based on Dynamic Selection for Time Series Forecasting von de Oliveira, Joao F. L., Silva, Eraylson G., de Mattos Neto, Paulo S. G.

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An intelligent hybridization of ARIMA with machine learning models for time series forecasting von de O. Santos Júnior, Domingos S., de Oliveira, João F.L., de Mattos Neto, Paulo S.G.

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Hybrid systems using residual modeling for sea surface temperature forecasting von de Mattos Neto, Paulo S. G., Cavalcanti, George D. C., de O. Santos Júnior, Domingos S., Silva, Eraylson G.

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Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble von de Mattos Neto, Paulo S. G., de Oliveira, João F. L., Bassetto, Priscilla, Siqueira, Hugo Valadares, Barbosa, Luciano, Alves, Emilly Pereira, Marinho, Manoel H. N., Rissi, Guilherme Ferretti, Li, Fu

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Neural-Based Ensembles for Particulate Matter Forecasting von De Mattos Neto, Paulo S. G., Firmino, Paulo Renato A., Siqueira, Hugo, De Souza Tadano, Yara, Alves, Thiago Antonini, De Oliveira, Joao Fausto L., Da Nobrega Marinho, Manoel Henrique, Madeiro, Francisco

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An adaptive hybrid system using deep learning for wind speed forecasting von de Mattos Neto, Paulo S.G., de Oliveira, João F.L., de O. Santos Júnior, Domingos S., Siqueira, Hugo Valadares, Marinho, Manoel H.N., Madeiro, Francisco

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Multifractal characterization of Brazilian market sectors von Stosic, Dusan, Stosic, Darko, de Mattos Neto, Paulo S.G., Stosic, Tatijana

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A hybrid system based on ensemble learning to model residuals for time series forecasting von Santos Júnior, Domingos S. de O., de Mattos Neto, Paulo S.G., de Oliveira, João F.L., Cavalcanti, George D.C.

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Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review von de Oliveira, João Fausto L., de Mattos Neto, Paulo S. G., Siqueira, Hugo Valadares, Santos, Domingos S. de O., Lima, Aranildo R., Madeiro, Francisco, Dantas, Douglas A. P., Cavalcanti, Mariana de Morais, Pereira, Alex C., Marinho, Manoel H. N.

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A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast von de Sales, Jair Paulino, de Mattos Neto, Paulo S.G., Firmino, Paulo R.A.

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A hybrid recursive direct system for multi-step mortality rate forecasting von de Lima Duarte, Filipe Coelho, de Mattos Neto, Paulo S. G., Firmino, Paulo Renato Alves

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An error correction system for sea surface temperature prediction von Araújo, Ricardo de A., de Mattos Neto, Paulo S. G., Nedjah, Nadia, Soares, Sergio C. B.

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Solar Irradiance Forecasting Using Dynamic Ensemble Selection von de O. Santos, Domingos S., de Mattos Neto, Paulo S. G., de Oliveira, João F. L., Siqueira, Hugo Valadares, Barchi, Tathiana Mikamura, Lima, Aranildo R., Madeiro, Francisco, Dantas, Douglas A. P., Converti, Attilio, Pereira, Alex C., de Melo Filho, José Bione, Marinho, Manoel H. N.

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A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks von da Silva, Cleber A.C.F., Rosa, Daniel Carneiro, Miranda, Péricles B.C., Cordeiro, Filipe R., Si, Tapas, Nascimento, André C.A., Mello, Rafael F.L., de Mattos Neto, Paulo S.G.

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