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ORCIDTiago Alessandro Espínola Ferreira
Person information
- affiliation: Universidade Federal Rural de Pernambuco, Recife, Brazil
Other persons with the same name
- Tiago Ferreira 0001
![[0000-0002-6942-0228]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6942-0228")
— University College London, UK - Tiago Ferreira 0002 — Universidad Alberto Hurtado, Santiago, Chile
- Tiago Ferreira 0003 — INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Tiago Ferreira 0004 — Polytechnic of Porto, School of Engineering, Porto, Portugal
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2020 – today
- 2023
[j16]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: 873-888 (2023)- [i5]Henrique Correia Torres Santos, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira:
PESC - Parallel Experiment for Sequential Code. CoRR abs/2301.05770 (2023) - 2022
- [j15]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: 117204 (2022) - [j14]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: 117931 (2022) - [j13]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): 299 (2022) - [j12]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): 378-389 (2022) - [c31]João Henrique De Medeiros Delgado, Tiago A. E. Ferreira:
Autoencoder performance analysis with adaptive and trainable activation function to compress images. LA-CCI 2022: 1-6 - 2021
- [c30]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: 249-263 - [i4]Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas:
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. CoRR abs/2101.06100 (2021) - [i3]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 abs/2106.06274 (2021) - 2020
- [j11]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): 577-591 (2020) - [j10]Ademir Batista Santos Neto, Tiago Alessandro Espínola Ferreira, Maria da Conceição Moraes Batista, Paulo Renato A. Firmino:
Studying the Performance of Cognitive Models in Time Series Forecasting. RITA 27(1): 83-91 (2020) - [c29]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: 122-135 - [i2]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 abs/2001.06323 (2020) - [i1]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 abs/2003.09995 (2020)
2010 – 2019
- 2019
- [c28]Luciano Souza, Jonathan H. A. de Carvalho, Tiago Ferreira:
Quantum Walk to Train a Classical Artificial Neural Network. BRACIS 2019: 836-841 - 2018
- [c27]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: 1-7 - 2017
- [j9]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: 110-124 (2017) - [j8]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: 114-124 (2017) - [c26]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: 88-95 - 2016
- [c25]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: 2104-2109 - [c24]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: 4089-4096 - 2015
- [j7]Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
Error modeling approach to improve time series forecasters. Neurocomputing 153: 242-254 (2015) - 2014
- [j6]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: 185-191 (2014) - [j5]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): 7147-7160 (2014) - [j4]Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
Correcting and combining time series forecasters. Neural Networks 50: 1-11 (2014) - 2013
- [j3]Ricardo de A. Araújo, Tiago A. E. Ferreira:
A Morphological-Rank-Linear evolutionary method for stock market prediction. Inf. Sci. 237: 3-17 (2013) - 2012
- [c23]Erinaldo L. Siqueira Júnior, Tiago A. E. Ferreira, Marcelo G. da Silva:
Discovering the Rules of a Elementary One-Dimensional Automaton. IDEAL 2012: 312-319 - [c22]Henrique Correia Torres 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: 244-249 - 2011
- [c21]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: 2450-2456 - 2010
- [c20]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: 2015-2018 - [c19]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: 1-8
2000 – 2009
- 2009
- [j2]Ricardo de A. Araújo, Tiago A. E. Ferreira:
An intelligent hybrid morphological-rank-linear method for financial time series prediction. Neurocomputing 72(10-12): 2507-2524 (2009) - [c18]Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira:
Time series forecasting using a perturbative intelligent system. GECCO 2009: 1477-1478 - [c17]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: 2230-2237 - [c16]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: 2703-2710 - 2008
- [j1]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): 113-129 (2008) - [c15]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: 67-76 - [c14]Ricardo de A. Araújo, Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting. IEEE Congress on Evolutionary Computation 2008: 1340-1347 - [c13]Ricardo de A. Araújo, Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A Quantum-Inspired Intelligent Hybrid method for stock market forecasting. IEEE Congress on Evolutionary Computation 2008: 1348-1355 - [c12]Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira, Ricardo de A. Araújo:
An experimental study with a Hybrid method for tuning neural network for time series prediction. IEEE Congress on Evolutionary Computation 2008: 3435-3442 - [c11]Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A hybrid method for tuning neural network for time series forecasting. GECCO 2008: 531-532 - [c10]Carlos R. B. Azevedo, Esdras L. Bispo Jr., Tiago A. E. Ferreira, Francisco Madeiro, Marcelo Sampaio de Alencar:
An Evolutionary Approach for Vector Quantization Codebook Optimization. ISNN (1) 2008: 452-461 - 2007
- [c9]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: 4321-4328 - [c8]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: 4329-4336 - [c7]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A New Evolutionary Approach for Time Series Forecasting. CIDM 2007: 616-623 - [c6]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: 602-611 - 2006
- [c5]Ricardo de A. Araújo, Francisco Madeiro, Robson Pequeno de Sousa, Lúcio Flavio Cavalcanti Pessoa, Tiago Alessandro Espínola Ferreira:
An Evolutionary Morphological Approach for Financial Time Series Forecasting. IEEE Congress on Evolutionary Computation 2006: 2467-2474 - [c4]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: 2417-2420 - [c3]Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira:
Designing Translation Invariant Operators for Financial Time Series Forecasting. SBRN 2006: 30-35 - 2005
- [c2]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A new evolutionary method for time series forecasting. GECCO 2005: 2221-2222 - 2004
- [c1]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: 736-743
Coauthor Index
aka: Paulo Salgado Gomes de Mattos Neto
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