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Journal Articles
- 2022
[j3]João F. L. de Oliveira
, Eraylson G. Silva, Paulo S. G. de Mattos Neto:
A Hybrid System Based on Dynamic Selection for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3251-3263 (2022)- 2021
- [j2]Eraylson G. Silva, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti:
A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. IEEE Access 9: 108466-108479 (2021) - 2020
- [j1]Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Paulo Renato A. Firmino, Eraylson G. Silva, Sérgio R. P. Vila Nova Filho:
A temporal-window framework for modelling and forecasting time series. Knowl. Based Syst. 193: 105476 (2020)
Conference and Workshop Papers
- 2020
- [c4]Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro:
Exceptional Survival Model Mining. BRACIS (2) 2020: 307-321 - [c3]Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto:
On the evaluation of dynamic selection parameters for time series forecasting. IJCNN 2020: 1-7 - 2019
- [c2]Eraylson Galdino da Silva, Paulo Salgado Gomes de Mattos Neto, João Fausto Lorenzato de Oliveira:
Hybrid System for Time Series using Iterative Residual Forecasting Models. BRACIS 2019: 872-877 - 2018
- [c1]Eraylson G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto:
Improving the accuracy of intelligent forecasting models using the Perturbation Theory. IJCNN 2018: 1-7
Data and Artifacts
- 2022
- [d1]Eraylson Galdino da Silva:
Time series univariate. IEEE DataPort, 2022
Coauthor Index
aka: Paulo Salgado Gomes de Mattos Neto
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