A hybrid intelligent system approach for improving the prediction of real world time series. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (IEEE Congress on Evolutionary Computation, 2004)

A new evolutionary method for time series forecasting. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (GECCO, 2005)

An Evolutionary Morphological Approach for Financial Time Series Forecasting. - Ricardo de A. Araújo; Francisco Madeiro; Robson Pequeno de Sousa; Lúcio Flavio Cavalcanti Pessoa; Tiago Alessandro Espínola Ferreira (IEEE Congress on Evolutionary Computation, 2006)

Improved Evolutionary Hybrid Method for Designing Morphological Operators. - Ricardo de A. Araújo; Francisco Madeiro; Tiago A. E. Ferreira; Robson P. de Sousa; Lúcio F. C. Pessoa (ICIP, 2006)

Designing Translation Invariant Operators for Financial Time Series Forecasting. - Ricardo de A. Araújo; Robson P. de Sousa; Tiago A. E. Ferreira (SBRN, 2006)

An evolutionary Morphological-Rank-Linear approach for time series prediction. - Ricardo de A. Araújo; Germano C. Vasconcelos; Tiago A. E. Ferreira (IEEE Congress on Evolutionary Computation, 2007)

Hybrid differential evolutionary system for financial time series forecasting. - Ricardo de A. Araújo; Germano C. Vasconcelos; Tiago A. E. Ferreira (IEEE Congress on Evolutionary Computation, 2007)

A New Evolutionary Approach for Time Series Forecasting. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (CIDM, 2007)

An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting. - Ricardo de A. Araújo; Robson P. de Sousa; Tiago A. E. Ferreira (ISNN (2), 2007)

Improving Image Vector Quantization with a Genetic Accelerated K-Means Algorithm. - Carlos R. B. Azevedo; Tiago A. E. Ferreira; Waslon Terllizzie A. Lopes; Francisco Madeiro (ACIVS, 2008)

An experimental study with a Hybrid method for tuning neural network for time series prediction. - Aranildo Rodrigues Lima Junior; Tiago Alessandro Espínola Ferreira; Ricardo de A. Araújo (IEEE Congress on Evolutionary Computation, 2008)

Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting. - Ricardo de A. Araújo; Aranildo Rodrigues Lima Junior; Tiago Alessandro Espínola Ferreira (IEEE Congress on Evolutionary Computation, 2008)

A Quantum-Inspired Intelligent Hybrid method for stock market forecasting. - Ricardo de A. Araújo; Aranildo Rodrigues Lima Junior; Tiago Alessandro Espínola Ferreira (IEEE Congress on Evolutionary Computation, 2008)

A hybrid method for tuning neural network for time series forecasting. - Aranildo Rodrigues Lima Junior; Tiago Alessandro Espínola Ferreira (GECCO, 2008)

An Evolutionary Approach for Vector Quantization Codebook Optimization. - Carlos R. B. Azevedo; Esdras L. Bispo Jr.; Tiago A. E. Ferreira; Francisco Madeiro; Marcelo Sampaio de Alencar (ISNN (1), 2008)

A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (Neural Process. Lett., 2008)

Time series forecasting using a perturbative intelligent system. - Paulo S. G. de Mattos Neto; Aranildo Rodrigues Lima Junior; Tiago A. E. Ferreira (GECCO, 2009)

Combining Artificial Neural Network and Particle Swarm System for time series forecasting. - Paulo S. G. de Mattos Neto; Gustavo G. Petry; Aranildo Rodrigues Lima Junior; Tiago A. E. Ferreira (IJCNN, 2009)

A prime step in the time series forecasting with hybrid methods: The fitness function choice. - L. J. Aranildo Rodrigues; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (IJCNN, 2009)

An intelligent hybrid morphological-rank-linear method for financial time series prediction. - Ricardo de A. Araújo; Tiago A. E. Ferreira (Neurocomputing, 2009)

An experimental study of fitness function and time series forecasting using artificial neural networks. - Aranildo Rodrigues Lima Junior; David Augusto Silva; Paulo Salgado Gomes de Mattos Neto; Tiago A. E. Ferreira (GECCO (Companion), 2010)

An intelligent perturbative approach for the time series forecasting problem. - Paulo S. G. de Mattos Neto; Aranildo R. Lima; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2010)

A simulation environment for volatility analysis of developed and in development markets. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2011)

Discovering the Rules of a Elementary One-Dimensional Automaton. - Erinaldo L. Siqueira Júnior; Tiago A. E. Ferreira; Marcelo G. da Silva (IDEAL, 2012)

A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. - Henrique Correia Torres Santos; Gabriela I. L. Alves; Neilson F. de Lima; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (SBRN, 2012)

A Morphological-Rank-Linear evolutionary method for stock market prediction. - Ricardo de A. Araújo; Tiago A. E. Ferreira (Inf. Sci., 2013)

Hybrid intelligent system for air quality forecasting using phase adjustment. - Paulo S. G. de Mattos Neto; Francisco Madeiro; Tiago A. E. Ferreira; George D. C. Cavalcanti (Eng. Appl. Artif. Intell., 2014)

Measurement of Fitness Function efficiency using Data Envelopment Analysis. - David Augusto Silva; Gabriela I. L. Alves; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Expert Syst. Appl., 2014)

Correcting and combining time series forecasters. - Paulo Renato A. Firmino; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Neural Networks, 2014)

Error modeling approach to improve time series forecasters. - Paulo Renato A. Firmino; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Neurocomputing, 2015)

Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (IJCNN, 2016)

Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. - Ricardo T. A. de Oliveira; Thaize Fernandes O. de Assis; Paulo Renato A. Firmino; Tiago A. E. Ferreira; Adriano L. I. Oliveira (IJCNN, 2016)

Utilização de Modelos Cognitivos na Previsão de Séries Temporais. - Ademir Batista Santos Neto; Maria da Conceição Moraes Batista; Paulo Renato A. Firmino; Tiago A. E. Ferreira (SBSI, 2017)

Copulas-based time series combined forecasters. - Ricardo T. A. de Oliveira; Thaize Fernandes O. de Assis; Paulo Renato A. Firmino; Tiago A. E. Ferreira (Inf. Sci., 2017)

A perturbative approach for enhancing the performance of time series forecasting. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; Aranildo R. Lima; Germano C. Vasconcelos; George D. C. Cavalcanti (Neural Networks, 2017)

Aggregation of Time Series Forecasts via Cacoullos Copula. - Ricardo T. A. de Oliveira; Thaize Fernandes O. de Assis; Paulo Renato A. Firmino; Tiago A. E. Ferreira; Adriano L. I. Oliveira (IJCNN, 2018)

Quantum Walk to Train a Classical Artificial Neural Network. - Luciano Souza; Jonathan H. A. de Carvalho; Tiago Ferreira 005 (BRACIS, 2019)

Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm. - Jonathan H. A. de Carvalho; Luciano S. de Souza; Fernando M. de Paula Neto; Tiago A. E. Ferreira (BRACIS, 2020)

Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid. - Juan C. Rodriguez Gamboa; Eva Susana Albarracin E.; Adenilton J. da Silva; Luciana Leite; Tiago A. E. Ferreira (CoRR, 2020)

Gravitational Wave Detection and Information Extraction via Neural Networks. - Gerson R. Santos; Marcela P. Figueiredo; Antonio de Pádua Santos; Pavlos Protopapas; Tiago A. E. Ferreira (CoRR, 2020)

A proposal of quantum data representation to improve the discrimination power. - Rosilda B. de Sousa; Emeson J. S. Pereira; Marina P. Cipolletti; Tiago A. E. Ferreira (Nat. Comput., 2020)

Studying the Performance of Cognitive Models in Time Series Forecasting. - Ademir Batista Santos Neto; Tiago Alessandro Espínola Ferreira; Maria da Conceição Moraes Batista; Paulo Renato A. Firmino (RITA, 2020)

Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices. - Luciano S. de Souza; Jonathan H. A. de Carvalho; Tiago A. E. Ferreira (BRACIS (1), 2021)

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. - Tiago A. E. Ferreira; Marios Mattheakis; Pavlos Protopapas (CoRR, 2021)

Autoencoder performance analysis with adaptive and trainable activation function to compress images. - João Henrique De Medeiros Delgado; Tiago A. E. Ferreira (LA-CCI, 2022)

Support decision system based on invoices data mining to estimate commercial pent-up demands. - Ademir Batista Santos Neto; Maria da Conceição Moraes Batista; Tiago A. E. Ferreira (Expert Syst. Appl., 2022)

Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks. - Gerson R. Santos; Antonio de Pádua Santos; Pavlos Protopapas; Tiago A. E. Ferreira (Expert Syst. Appl., 2022)

Sec-G Class of Distributions: Properties and Applications. - Luciano Souza; Wilson Rosa de Oliveira; Cícero Carlos Ramos de Brito; Christophe Chesneau; Renan Fernandes; Tiago A. E. Ferreira (Symmetry, 2022)

Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure. - Luciano S. de Souza; Jonathan H. A. de Carvalho; Tiago A. E. Ferreira (IEEE Trans. Computers, 2022)

PESC - Parallel Experiment for Sequential Code. - Henrique Correia Torres Santos; Luciano S. de Souza; Jonathan H. A. de Carvalho; Tiago A. E. Ferreira (CoRR, 2023)

On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids. - Jonathan H. A. de Carvalho; Luciano S. de Souza; Fernando M. de Paula Neto; Tiago A. E. Ferreira (Inf. Sci., 2023)

PESC - Parallel Experience for Sequential Code. - Henrique Correia Torres Santos; Luciano S. de Souza; Jonathan H. A. de Carvalho; Tiago A. E. Ferreira (Concurr. Comput. Pract. Exp., 2025)

Neural network learning of Black-Scholes equation for option pricing. - Daniel de Souza Santos; Tiago A. E. Ferreira (Neural Comput. Appl., 2025)