Tiago A. E. Ferreira
Cited by
Cited by
A new intelligent system methodology for time series forecasting with artificial neural networks
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Neural Processing Letters 28 (2), 113-129, 2008
A morphological-rank-linear evolutionary method for stock market prediction
RA Araújo, TAE Ferreira
Information Sciences 237, 3-17, 2013
Correcting and combining time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neural Networks 50, 1-11, 2014
An intelligent hybrid morphological-rank-linear method for financial time series prediction
RA Araújo, TAE Ferreira
Neurocomputing 72 (10-12), 2507-2524, 2009
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
An evolutionary morphological approach for financial time series forecasting
RA Araújo, F Madeiro, RP de Sousa, LFC Pessoa, TAE Ferreira
2006 IEEE International Conference on Evolutionary Computation, 2467-2474, 2006
Error modeling approach to improve time series forecasters
PRA Firmino, PSG de Mattos Neto, TAE Ferreira
Neurocomputing 153, 242-254, 2015
A new evolutionary method for time series forecasting
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
An entropy-based approach for the identification of phylogenetically informative genomic regions of Papillomavirus
MVA Batista, TAE Ferreira, AC Freitas, VQ Balbino
Infection, Genetics and Evolution 11 (8), 2026-2033, 2011
Hybrid differential evolutionary system for financial time series forecasting
RA Araujo, GC Vasconcelos, TAE Ferreira
2007 IEEE Congress on Evolutionary Computation, 4329-4336, 2007
The communication model of virtual universe: multipolarity, ICT, cyberculture, education and media manipulation
MM Teixeira, TAE Ferreira
GRIN Verlag, 2014
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
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
General properties for the Cos-G class of distributions with applications
L Souza, WRO Junior, CCR de Brito, C Chesneau, TAE Ferreira, L Soares
Eurasian Bulletin of Mathematics 2 (2), 63-79, 2019
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
A hybrid intelligent system approach for improving the prediction of real world time series
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
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 (6), 783-789, 2013
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
A Quantum-Inspired Intelligent Hybrid method for stock market forecasting
RA Araujo, ARL Junior, TAE Ferreira
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
Copulas-based time series combined forecasters
RTA de Oliveira, TFO de Assis, PRA Firmino, TAE Ferreira
Information Sciences 376, 110-124, 2017
The system can't perform the operation now. Try again later.
Articles 1–20