Tiago A. E. Ferreira

54 papers A 2B 12C 2Journal 28Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatic Identification of Parallelizable Loops Using Transformer-Based Source Code Representations. CoRR Izavan dos Santos Correia, Henrique Correia Torres Santos, Tiago A. E. Ferreira
2026	J	`jnl`	Construction of a classification model for dementia among Brazilian adults aged 50 and over. CoRR F. S. Menezes, M. C. F. G. Barretto, Elliot Q. C. Garcia, Tiago A. E. Ferreira, J. G. Alvez
2026	J	`jnl`	Discovering software parallelization points using deep neural networks. Array Izavan dos Santos Correia, Henrique Correia Torres Santos, Tiago A. E. Ferreira
2025	J	`jnl`	Discovering Software Parallelization Points Using Deep Neural Networks. CoRR Izavan dos Santos Correia, Henrique Correia Torres Santos, Tiago A. E. Ferreira
2025	—	`conf`	Neural Networks with Adaptive and Trainable Activation Functions Applied to Solve Stochastic Differential Equations. BRACIS (2) Ingrid de Araújo Felix, João Henrique De Medeiros Delgado, Tiago A. E. Ferreira
2025	J	`jnl`	Neural network learning of Black-Scholes equation for option pricing. Neural Comput. Appl. Daniel de Souza Santos, Tiago A. E. Ferreira
2025	J	`jnl`	PESC - Parallel Experience for Sequential Code. Concurr. Comput. Pract. Exp. Henrique Correia Torres Santos, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
2025	J	`jnl`	Text-Independent Speaker Identification Using Audio Looping With Margin Based Loss Functions. CoRR Elliot Q. C. Garcia, Nicéias Silva Vilela, Kátia Pires Nascimento do Sacramento, Tiago A. E. Ferreira
2025	J	`jnl`	The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models. CoRR Kátia Pires Nascimento do Sacramento, Elliot Q. C. Garcia, Nicéias Silva Vilela, Vinicius P. Sacramento, Tiago A. E. Ferreira
2023	J	`jnl`	On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids. Inf. Sci. Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
2023	J	`jnl`	PESC - Parallel Experiment for Sequential Code. CoRR Henrique Correia Torres Santos, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
2022	—	`conf`	Autoencoder performance analysis with adaptive and trainable activation function to compress images. LA-CCI João Henrique De Medeiros Delgado, Tiago A. E. Ferreira
2022	J	`jnl`	Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure. IEEE Trans. Computers Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
2022	J	`jnl`	Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks. Expert Syst. Appl. Gerson R. Santos, Antonio de Pádua Santos, Pavlos Protopapas, Tiago A. E. Ferreira
2022	J	`jnl`	Sec-G Class of Distributions: Properties and Applications. Symmetry Luciano Souza, Wilson Rosa de Oliveira, Cícero Carlos Ramos de Brito, Christophe Chesneau, Renan Fernandes, Tiago A. E. Ferreira
2022	J	`jnl`	Support decision system based on invoices data mining to estimate commercial pent-up demands. Expert Syst. Appl. Ademir Batista Santos Neto, Maria da Conceição Moraes Batista, Tiago A. E. Ferreira
2021	J	`jnl`	A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. CoRR Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas
2021	—	`conf`	Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices. BRACIS (1) Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
2021	J	`jnl`	On Applying the Lackadaisical Quantum Walk Algorithm to Search for Multiple Solutions on Grids. CoRR Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
2020	J	`jnl`	A proposal of quantum data representation to improve the discrimination power. Nat. Comput. Rosilda B. de Sousa, Emeson J. S. Pereira, Marina P. Cipolletti, Tiago A. E. Ferreira
2020	J	`jnl`	Gravitational Wave Detection and Information Extraction via Neural Networks. CoRR Gerson R. Santos, Marcela P. Figueiredo, Antonio de Pádua Santos, Pavlos Protopapas, Tiago A. E. Ferreira
2020	—	`conf`	Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm. BRACIS Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto, Tiago A. E. Ferreira
2020	J	`jnl`	Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid. CoRR Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva, Luciana Leite, Tiago A. E. Ferreira
2018	B	`conf`	Aggregation of Time Series Forecasts via Cacoullos Copula. IJCNN Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
2017	J	`jnl`	A perturbative approach for enhancing the performance of time series forecasting. Neural Networks Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
2017	J	`jnl`	Copulas-based time series combined forecasters. Inf. Sci. Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira
2017	—	`conf`	Utilização de Modelos Cognitivos na Previsão de Séries Temporais. SBSI Ademir Batista Santos Neto, Maria da Conceição Moraes Batista, Paulo Renato A. Firmino, Tiago A. E. Ferreira
2016	B	`conf`	Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. IJCNN Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2016	B	`conf`	Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. IJCNN Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
2015	J	`jnl`	Error modeling approach to improve time series forecasters. Neurocomputing Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2014	J	`jnl`	Correcting and combining time series forecasters. Neural Networks Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2014	J	`jnl`	Hybrid intelligent system for air quality forecasting using phase adjustment. Eng. Appl. Artif. Intell. Paulo S. G. de Mattos Neto, Francisco Madeiro, Tiago A. E. Ferreira, George D. C. Cavalcanti
2014	J	`jnl`	Measurement of Fitness Function efficiency using Data Envelopment Analysis. Expert Syst. Appl. David Augusto Silva, Gabriela I. L. Alves, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2013	J	`jnl`	A Morphological-Rank-Linear evolutionary method for stock market prediction. Inf. Sci. Ricardo de A. Araújo, Tiago A. E. Ferreira
2012	—	`conf`	A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. SBRN Henrique Correia Torres Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2012	C	`conf`	Discovering the Rules of a Elementary One-Dimensional Automaton. IDEAL Erinaldo L. Siqueira Júnior, Tiago A. E. Ferreira, Marcelo G. da Silva
2011	B	`conf`	A simulation environment for volatility analysis of developed and in development markets. IJCNN Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti
2010	—	`conf`	An experimental study of fitness function and time series forecasting using artificial neural networks. GECCO (Companion) Aranildo Rodrigues Lima Junior, David Augusto Silva, Paulo Salgado Gomes de Mattos Neto, Tiago A. E. Ferreira
2010	B	`conf`	An intelligent perturbative approach for the time series forecasting problem. IJCNN Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti
2009	B	`conf`	A prime step in the time series forecasting with hybrid methods: The fitness function choice. IJCNN L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2009	J	`jnl`	An intelligent hybrid morphological-rank-linear method for financial time series prediction. Neurocomputing Ricardo de A. Araújo, Tiago A. E. Ferreira
2009	B	`conf`	Combining Artificial Neural Network and Particle Swarm System for time series forecasting. IJCNN Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
2009	A	`conf`	Time series forecasting using a perturbative intelligent system. GECCO Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
2008	J	`jnl`	A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. Neural Process. Lett. Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2008	—	`conf`	An Evolutionary Approach for Vector Quantization Codebook Optimization. ISNN (1) Carlos R. B. Azevedo, Esdras L. Bispo Jr., Tiago A. E. Ferreira, Francisco Madeiro, Marcelo Sampaio de Alencar
2008	B	`conf`	Improving Image Vector Quantization with a Genetic Accelerated K-Means Algorithm. ACIVS Carlos R. B. Azevedo, Tiago A. E. Ferreira, Waslon Terllizzie A. Lopes, Francisco Madeiro
2007	C	`conf`	A New Evolutionary Approach for Time Series Forecasting. CIDM Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2007	—	`conf`	An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting. ISNN (2) Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira
2007	B	`conf`	An evolutionary Morphological-Rank-Linear approach for time series prediction. IEEE Congress on Evolutionary Computation Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
2007	B	`conf`	Hybrid differential evolutionary system for financial time series forecasting. IEEE Congress on Evolutionary Computation Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
2006	—	`conf`	Designing Translation Invariant Operators for Financial Time Series Forecasting. SBRN Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira
2006	B	`conf`	Improved Evolutionary Hybrid Method for Designing Morphological Operators. ICIP Ricardo de A. Araújo, Francisco Madeiro, Tiago A. E. Ferreira, Robson P. de Sousa, Lúcio F. C. Pessoa
2005	A	`conf`	A new evolutionary method for time series forecasting. GECCO Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2004	B	`conf`	A hybrid intelligent system approach for improving the prediction of real world time series. IEEE Congress on Evolutionary Computation Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato