Suivre
Paulo S G de Mattos Neto
Titre
Citée par
Citée par
Année
An intelligent hybridization of ARIMA with machine learning models for time series forecasting
SO Domingos, JFL de Oliveira, PSG de Mattos Neto
Knowledge-Based Systems 175, 72-86, 2019
932019
Correcting and combining time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neural Networks 50, 1-11, 2014
512014
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
462014
Error modeling approach to improve time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neurocomputing 153, 242-254, 2015
422015
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
332017
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
332011
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
232014
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, 2021
202021
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
202009
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
192015
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
182020
Market volatility modeling for short time window
PSG de Mattos Neto, DA Silva, TAE Ferreira, GDC Cavalcanti
Physica A: Statistical Mechanics and its Applications 390 (20), 3444-3453, 2011
172011
An experimental study of fitness function and time series forecasting using artificial neural networks
AR Lima Junior, DA Silva, PS Mattos Neto, TAE Ferreira
Proceedings of the 12th annual conference companion on Genetic and …, 2010
172010
Neural-based ensembles for particulate matter forecasting
PSGDM Neto, PRA Firmino, H Siqueira, YDS Tadano, TA Alves, ...
IEEE Access 9, 14470-14490, 2021
162021
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
162013
A prime step in the time series forecasting with hybrid methods: The fitness function choice
AR LJ, PSG de Mattos Neto, TAE Ferreira
2009 International Joint Conference on Neural Networks, 2703-2710, 2009
152009
A perturbative approach for enhancing the performance of time series forecasting
PSG de Mattos Neto, TAE Ferreira, AR Lima, GC Vasconcelos, ...
Neural Networks 88, 114-124, 2017
142017
Neural-based ensembles and unorganized machines to predict streamflow series from hydroelectric plants
J Belotti, H Siqueira, L Araujo, SL Stevan, PSG de Mattos Neto, ...
Energies 13 (18), 4769, 2020
122020
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, DS Oliveira, ...
Energies 13 (16), 4236, 2020
122020
An adaptive hybrid system using deep learning for wind speed forecasting
PSG de Mattos Neto, JFL de Oliveira, SO Domingos, HV Siqueira, ...
Information Sciences 581, 495-514, 2021
112021
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