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Paulo S G de Mattos Neto
Paulo S G de Mattos Neto
Professor, Centro de Informática (CIn) Universidade Federal de Pernambuco (UFPE)
Verified email at cin.ufpe.br
Title
Cited by
Cited by
Year
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
1832019
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
782021
Correcting and combining time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neural Networks 50, 1-11, 2014
602014
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
552014
Neural-based ensembles for particulate matter forecasting
PSGDM Neto, PRA Firmino, H Siqueira, YDS Tadano, TA Alves, ...
IEEE Access 9, 14470-14490, 2021
532021
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
502017
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
492011
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
482021
Error modeling approach to improve time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neurocomputing 153, 242-254, 2015
482015
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
372021
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
332020
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
292022
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
292020
Transformer-Based hybrid forecasting model for multivariate renewable energy
GA Galindo Padilha, JR Ko, JJ Jung, PSG de Mattos Neto
Applied Sciences 12 (21), 10985, 2022
282022
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
272020
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
272020
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
262022
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
242014
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
232015
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
222009
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Articles 1–20