Tiago A. E. Ferreira

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 21

Top Topics

Data Envelopment Analysis

Top Venues

Expert Syst. Appl.

Publications

Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids. Inf. Sci. 622 (2023)
Henrique Correia Torres Santos, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
PESC - Parallel Experiment for Sequential Code. CoRR (2023)
Gerson R. Santos, Antonio de Pádua Santos, Pavlos Protopapas, Tiago A. E. Ferreira
Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks. Expert Syst. Appl. 207 (2022)
Ademir Batista Santos Neto, Maria da Conceição Moraes Batista, Tiago A. E. Ferreira
Support decision system based on invoices data mining to estimate commercial pent-up demands. Expert Syst. Appl. 202 (2022)
Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure. IEEE Trans. Computers 71 (2) (2022)
Luciano Souza, Wilson Rosa de Oliveira, Cícero Carlos Ramos de Brito, Christophe Chesneau, Renan Fernandes, Tiago A. E. Ferreira
Sec-G Class of Distributions: Properties and Applications. Symmetry 14 (2) (2022)
João Henrique De Medeiros Delgado, Tiago A. E. Ferreira
Autoencoder performance analysis with adaptive and trainable activation function to compress images. LA-CCI (2022)
Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices. BRACIS (1) (2021)
Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
On Applying the Lackadaisical Quantum Walk Algorithm to Search for Multiple Solutions on Grids. CoRR (2021)
Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. CoRR (2021)
Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva, Luciana Leite, Tiago A. E. Ferreira
Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid. CoRR (2020)
Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm. BRACIS (2020)
Gerson R. Santos, Marcela P. Figueiredo, Antonio de Pádua Santos, Pavlos Protopapas, Tiago A. E. Ferreira
Gravitational Wave Detection and Information Extraction via Neural Networks. CoRR (2020)
Rosilda B. de Sousa, Emeson J. S. Pereira, Marina P. Cipolletti, Tiago A. E. Ferreira
A proposal of quantum data representation to improve the discrimination power. Nat. Comput. 19 (3) (2020)
Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
Aggregation of Time Series Forecasts via Cacoullos Copula. IJCNN (2018)
Ademir Batista Santos Neto, Maria da Conceição Moraes Batista, Paulo Renato A. Firmino, Tiago A. E. Ferreira
Utilização de Modelos Cognitivos na Previsão de Séries Temporais. SBSI (2017)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
A perturbative approach for enhancing the performance of time series forecasting. Neural Networks 88 (2017)
Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira
Copulas-based time series combined forecasters. Inf. Sci. 376 (2017)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. IJCNN (2016)
Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. IJCNN (2016)
Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Error modeling approach to improve time series forecasters. Neurocomputing 153 (2015)
Paulo S. G. de Mattos Neto, Francisco Madeiro, Tiago A. E. Ferreira, George D. C. Cavalcanti
Hybrid intelligent system for air quality forecasting using phase adjustment. Eng. Appl. Artif. Intell. 32 (2014)
Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Correcting and combining time series forecasters. Neural Networks 50 (2014)
David Augusto Silva, Gabriela I. L. Alves, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Measurement of Fitness Function efficiency using Data Envelopment Analysis. Expert Syst. Appl. 41 (16) (2014)
Ricardo de A. Araújo, Tiago A. E. Ferreira
A Morphological-Rank-Linear evolutionary method for stock market prediction. Inf. Sci. 237 (2013)
Henrique C. T. Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. SBRN (2012)
Erinaldo L. Siqueira Júnior, Tiago A. E. Ferreira, Marcelo G. da Silva
Discovering the Rules of a Elementary One-Dimensional Automaton. IDEAL (2012)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti
A simulation environment for volatility analysis of developed and in development markets. IJCNN (2011)
Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti
An intelligent perturbative approach for the time series forecasting problem. IJCNN (2010)
Aranildo Rodrigues Lima Junior, David Augusto Silva, Paulo Salgado Gomes de Mattos Neto, Tiago A. E. Ferreira
An experimental study of fitness function and time series forecasting using artificial neural networks. GECCO (Companion) (2010)
Ricardo de A. Araújo, Tiago A. E. Ferreira
An intelligent hybrid morphological-rank-linear method for financial time series prediction. Neurocomputing 72 (10-12) (2009)
L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
A prime step in the time series forecasting with hybrid methods: The fitness function choice. IJCNN (2009)
Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
Combining Artificial Neural Network and Particle Swarm System for time series forecasting. IJCNN (2009)
Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
Time series forecasting using a perturbative intelligent system. GECCO (2009)
Carlos R. B. Azevedo, Esdras L. Bispo, Tiago A. E. Ferreira, Francisco Madeiro, Marcelo Sampaio de Alencar
An Evolutionary Approach for Vector Quantization Codebook Optimization. ISNN (1) (2008)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. Neural Process. Lett. 28 (2) (2008)
Carlos R. B. Azevedo, Tiago A. E. Ferreira, Waslon Terllizzie A. Lopes, Francisco Madeiro
Improving Image Vector Quantization with a Genetic Accelerated K-Means Algorithm. ACIVS (2008)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A New Evolutionary Approach for Time Series Forecasting. CIDM (2007)
Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
An evolutionary Morphological-Rank-Linear approach for time series prediction. IEEE Congress on Evolutionary Computation (2007)
Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira
An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting. ISNN (2) (2007)
Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
Hybrid differential evolutionary system for financial time series forecasting. IEEE Congress on Evolutionary Computation (2007)
Ricardo de A. Araújo, Francisco Madeiro, Tiago A. E. Ferreira, Robson P. de Sousa, Lúcio F. C. Pessoa
Improved Evolutionary Hybrid Method for Designing Morphological Operators. ICIP (2006)
Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira
Designing Translation Invariant Operators for Financial Time Series Forecasting. SBRN (2006)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A new evolutionary method for time series forecasting. GECCO (2005)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A hybrid intelligent system approach for improving the prediction of real world time series. IEEE Congress on Evolutionary Computation (2004)