Tiago Alessandro Espínola Ferreira

According to our database, Tiago Alessandro Espínola Ferreira authored at least 51 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 2023

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

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

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

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

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

Autoencoder performance analysis with adaptive and trainable activation function to compress images.

João Henrique De Medeiros Delgado, Tiago A. E. Ferreira

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

2021

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function.

Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas

CoRR, 2021

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

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

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

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

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

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

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

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Quantum Walk to Train a Classical Artificial Neural Network.

Luciano Souza, Jonathan H. A. de Carvalho, Tiago Ferreira

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

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

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

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting.

Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Error modeling approach to improve time series forecasters.

Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira

Neurocomputing, 2015

2014

Correcting and combining time series forecasters.

Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira

Neural Networks, 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

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

2013

A Morphological-Rank-Linear evolutionary method for stock market prediction.

Ricardo de A. Araújo, Tiago A. E. Ferreira

Inf. Sci., 2013

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

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Discovering the Rules of a Elementary One-Dimensional Automaton.

Erinaldo L. Siqueira Júnior, Tiago A. E. Ferreira, Marcelo G. da Silva

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011

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

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

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

Proceedings of the International Joint Conference on Neural Networks, 2010

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

An intelligent hybrid morphological-rank-linear method for financial time series prediction.

Ricardo de A. Araújo, Tiago A. E. Ferreira

Neurocomputing, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2009

Time series forecasting using a perturbative intelligent system.

Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

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

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

Proceedings of the Advances in Neural Networks, 2008

A hybrid method for tuning neural network for time series forecasting.

Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

A Quantum-Inspired Intelligent Hybrid method for stock market forecasting.

Ricardo de A. Araújo, Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira

Proceedings of the 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

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

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

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

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

Proceedings of the Advances in Neural Networks, 2007

A New Evolutionary Approach for Time Series Forecasting.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Hybrid differential evolutionary system for financial time series forecasting.

Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

An evolutionary Morphological-Rank-Linear approach for time series prediction.

Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Designing Translation Invariant Operators for Financial Time Series Forecasting.

Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira

Proceedings of the SBRN 2006, 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

Proceedings of the International Conference on Image Processing, 2006

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

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

A new evolutionary method for time series forecasting.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2004