João Fausto Lorenzato de Oliveira
Title
Cited by
Cited by
Year
A hybrid evolutionary decomposition system for time series forecasting
JFL de Oliveira, TB Ludermir
Neurocomputing 180, 27-34, 2016
502016
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
462019
A hybrid evolutionary system for parameter optimization and lag selection in time series forecasting
JFL de Oliveira, TB Ludermir
2014 Brazilian Conference on Intelligent Systems, 73-78, 2014
132014
A distributed PSO-ARIMA-SVR hybrid system for time series forecasting
JFL de Oliveira, TB Ludermir
2014 IEEE international conference on systems, man, and cybernetics (SMC …, 2014
122014
Plant classification using artificial neural networks
LDS Pacifico, V Macario, JFL Oliveira
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
112018
Homogeneous ensemble selection through hierarchical clustering with a modified artificial fish swarm algorithm
JFL de Oliveira, TB Ludermir
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
72011
An evolutionary extreme learning machine based on fuzzy fish swarms
JFL de Oliveira, TB Ludermir
Proceedings on the international conference on artificial intelligence (ICAI), 1, 2012
62012
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
52020
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
42020
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
42020
Iterative ARIMA-multiple support vector regression models for long term time series prediction.
JFL Oliveira, TB Ludermir
ESANN, 2014
42014
A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition
PSG de Mattos Neto, MHN Marinho, H Siqueira, Y de Souza Tadano, ...
Sustainability 12 (18), 7310, 2020
32020
Evolutionary elms with alternative treatments for the population out-bounded individuals
LDS Pacifico, TB Ludermir, JFL Oliveira
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 151-156, 2018
32018
A hybrid group search optimization based on fish swarms
JFL Oliveira, LDS Pacifico, TB Ludermir
2013 Brazilian Conference on Intelligent Systems, 51-56, 2013
32013
Predicting gene functions using semi-supervised clustering algorithms with objective function optimization
V Macario, IG Costa, JFL Oliveira
2012 Brazilian Symposium on Neural Networks, 61-66, 2012
22012
A modified artificial fish swarm algorithm for the optimization of extreme learning machines
JFL de Oliveira, TB Ludermir
International Conference on Artificial Neural Networks, 66-73, 2012
22012
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
12021
Neural-Based Ensembles for Particulate Matter Forecasting
PSGDM Neto, PRA Firmino, H Siqueira, YDS Tadano, TA Alves, ...
IEEE Access 9, 14470-14490, 2021
12021
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
12020
On the evaluation of dynamic selection parameters for time series forecasting
EG Silva, GDC Cavalcanti, JFL de Oliveira, PSG de Mattos Neto
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
12020
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Articles 1–20