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1

Hybrid System for Time Series using Iterative Residual Fore..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),

da Silva, Eraylson G. ; de Mattos Neto, Paulo S.G. ; de Oliveira, Joao F.L. - p. 872-877 , 2019

Link: https://doi.org/10.1109/..

2

Fault Detection and Classification in Electrical Systems: A..:

, In: 2023 Workshop on Communication Networks and Power Systems (WCNPS),

Carvalho, Davi ; Melo, Jose F. V. ; Silva, Eraylson G.... - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

3

A Hybrid System Based on Dynamic Selection for Time Series ..:

de Oliveira, João F. L. ; Silva, Eraylson G. ; de Mattos Neto, Paulo S. G.
IEEE Transactions on Neural Networks and Learning Systems. 33 (2022) 8 - p. 3251-3263 , 2022

Link: https://doi.org/10.1109/..

4

Hybrid systems using residual modeling for sea surface temp..:

de Mattos Neto, Paulo S. G. ; Cavalcanti, George D. C. ; de O. Santos Júnior, Domingos S..
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

5

A Dynamic Predictor Selection Method Based on Recent Tempor..:

Silva, Eraylson G. ; De Mattos Neto, Paulo S. G. ; Cavalcanti, George D. C.
IEEE Access. 9 (2021) - p. 108466-108479 , 2021

Link: https://doi.org/10.1109/..

6

Exceptional Survival Model Mining:

, In: Intelligent Systems; Lecture Notes in Computer Science,

Mattos, Juliana Barcellos ; Silva, Eraylson G. ; de Mattos Neto, Paulo S. G.. - p. 307-321 , 2020

Link: https://doi.org/10.1007/..

7

A temporal-window framework for modelling and forecasting t..:

de Mattos Neto, Paulo S.G. ; Cavalcanti, George D.C. ; Firmino, Paulo R.A...
Knowledge-Based Systems. 193 (2020) - p. 105476 , 2020

Link: https://doi.org/10.1016/..

8

On the evaluation of dynamic selection parameters for time ..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),

Silva, Eraylson. G. ; Cavalcanti, George D. C. ; de Oliveira, Joao Fausto L.. - p. 1-7 , 2020

Link: https://doi.org/10.1109/..

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