Tiago Alessandro Espínola Ferreira
Orcid: 0000-0002-2131-9825Affiliations:
- Universidade Federal Rural de Pernambuco, Recife, Brazil
According to our database1,
Tiago Alessandro Espínola Ferreira
authored at least 51 papers
between 2004 and 2023.
Collaborative distances:
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Bibliography
2023
On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids.
Inf. Sci., April, 2023
2022
Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure.
IEEE Trans. Computers, 2022
Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks.
Expert Syst. Appl., 2022
Support decision system based on invoices data mining to estimate commercial pent-up demands.
Expert Syst. Appl., 2022
Autoencoder performance analysis with adaptive and trainable activation function to compress images.
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.
CoRR, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Nat. Comput., 2020
CoRR, 2020
Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid.
CoRR, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Neural Networks, 2017
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017
2016
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
2014
Expert Syst. Appl., 2014
Eng. Appl. Artif. Intell., 2014
2013
Inf. Sci., 2013
2012
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
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.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
An experimental study of fitness function and time series forecasting using artificial neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
An intelligent hybrid morphological-rank-linear method for financial time series prediction.
Neurocomputing, 2009
A prime step in the time series forecasting with hybrid methods: The fitness function choice.
Proceedings of the International Joint Conference on Neural Networks, 2009
Combining Artificial Neural Network and Particle Swarm System for time series forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks.
Neural Process. Lett., 2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
An experimental study with a Hybrid method for tuning neural network for time series prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
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.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the SBRN 2006, 2006
Proceedings of the International Conference on Image Processing, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
2004
A hybrid intelligent system approach for improving the prediction of real world time series.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004