An intelligent hybridization of ARIMA with machine learning models for time series forecasting DSOS Júnior, JFL de Oliveira, PSG de Mattos Neto Knowledge-Based Systems 175, 72-86, 2019 | 170 | 2019 |
A hybrid system based on dynamic selection for time series forecasting JFL de Oliveira, EG Silva, PSG de Mattos Neto IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3251-3263, 2021 | 70 | 2021 |
Correcting and combining time series forecasters PRA Firmino, PSG de Mattos Neto, TAE Ferreira Neural Networks 50, 1-11, 2014 | 60 | 2014 |
Hybrid intelligent system for air quality forecasting using phase adjustment PSG de Mattos Neto, F Madeiro, TAE Ferreira, GDC Cavalcanti Engineering Applications of Artificial Intelligence 32, 185-191, 2014 | 54 | 2014 |
Neural-based ensembles for particulate matter forecasting PSGDM Neto, PRA Firmino, H Siqueira, YDS Tadano, TA Alves, ... IEEE Access 9, 14470-14490, 2021 | 49 | 2021 |
Lag selection for time series forecasting using particle swarm optimization GHT Ribeiro, PSGM Neto, GDC Cavalcanti, R Tsang The 2011 International Joint Conference on Neural Networks, 2437-2444, 2011 | 48 | 2011 |
Error modeling approach to improve time series forecasters PRA Firmino, PSG de Mattos Neto, TAE Ferreira Neurocomputing 153, 242-254, 2015 | 47 | 2015 |
Nonlinear Combination Method of Forecasters applied to PM Time Series PSG DE MATTOS NETO, GDC CAVALCANTI, F Madeiro Pattern Recognition Letters 95, 65-72, 2017 | 45 | 2017 |
An adaptive hybrid system using deep learning for wind speed forecasting PSG de Mattos Neto, JFL de Oliveira, DSOS Júnior, HV Siqueira, ... Information Sciences 581, 495-514, 2021 | 42 | 2021 |
Evolutionary hybrid system for energy consumption forecasting for smart meters DMF Izidio, PSG de Mattos Neto, L Barbosa, JFL de Oliveira, ... Energies 14 (7), 1794, 2021 | 30 | 2021 |
Neural-based ensembles and unorganized machines to predict streamflow series from hydroelectric plants J Belotti, H Siqueira, L Araujo, SL Stevan Jr, PSG de Mattos Neto, ... Energies 13 (18), 4769, 2020 | 30 | 2020 |
Solar irradiance forecasting using dynamic ensemble selection DS de O. Santos Jr, PSG de Mattos Neto, JFL de Oliveira, HV Siqueira, ... Applied Sciences 12 (7), 3510, 2022 | 27 | 2022 |
Selection of temporal lags for predicting riverflow series from hydroelectric plants using variable selection methods H Siqueira, M Macedo, YS Tadano, TA Alves, SL Stevan Jr, DS Oliveira Jr, ... Energies 13 (16), 4236, 2020 | 27 | 2020 |
A hybrid optimized error correction system for time series forecasting JFL de Oliveira, LDS Pacífico, PSG de Mattos Neto, EFS Barreiros, ... Applied soft computing 87, 105970, 2020 | 26 | 2020 |
A hybrid nonlinear combination system for monthly wind speed forecasting PSG de Mattos Neto, JFL de Oliveira, DSOS Júnior, HV Siqueira, ... IEEE Access 8, 191365-191377, 2020 | 25 | 2020 |
An approach to improve the performance of PM forecasters PSG de Mattos Neto, GDC Cavalcanti, F Madeiro, TAE Ferreira PLoS One 10 (9), e0138507, 2015 | 23 | 2015 |
Measurement of fitness function efficiency using data envelopment analysis DA Silva, GI Alves, PSG de Mattos Neto, TAE Ferreira Expert Systems with Applications 41 (16), 7147-7160, 2014 | 23 | 2014 |
Hybrid systems using residual modeling for sea surface temperature forecasting PSG de Mattos Neto, GDC Cavalcanti, DS de O. Santos Júnior, EG Silva Scientific Reports 12 (1), 487, 2022 | 22 | 2022 |
Combining artificial neural network and particle swarm system for time series forecasting PSGM Neto, GG Petry, RLJ Aranildo, TAE Ferreira 2009 International Joint Conference on Neural Networks, 2230-2237, 2009 | 22 | 2009 |
Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks FS Albuquerque Filho, F Madeiro, SMM Fernandes, PSG de Mattos Neto, ... Química Nova 36, 783-789, 2013 | 21 | 2013 |