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Felipe Costa Farias
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2020 – today
- 2024
- [j2]Caio Filipe de Lima Munguba, Gustavo de Novaes Pires Leite, Felipe Costa Farias, Alexandre Carlos Araújo da Costa, Olga de Castro Vilela, Valentin Paschoal Perruci, Leonardo José Petribú Brennand, Marrison Gabriel Guedes de Souza, Alvaro Antonio Villa Ochoa, Enrique López Droguett:
Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data. Eng. Appl. Artif. Intell. 133: 108363 (2024) - 2023
- [j1]Gustavo de Novaes Pires Leite, Felipe Costa Farias, Tiago Gomes de Sá, Alexandre Carlos Araújo da Costa, Leonardo José Petribú Brennand, Marrison Gabriel Guedes de Souza, Alvaro Antonio Villa Ochoa, Enrique López Droguett:
A robust fleet-based anomaly detection framework applied to wind turbine vibration data. Eng. Appl. Artif. Intell. 126: 106859 (2023) - 2022
- [i3]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. CoRR abs/2206.08369 (2022) - [i2]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay! CoRR abs/2207.06651 (2022) - 2020
- [i1]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Similarity Based Stratified Splitting: an approach to train better classifiers. CoRR abs/2010.06099 (2020)
2010 – 2019
- 2019
- [c2]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira:
Analyzing the impact of data representations in classification problems using clustering. IJCNN 2019: 1-6 - 2018
- [c1]Flávio Rosendo Da Silva Oliveira, Felipe Costa Farias:
Comparing transfer learning approaches applied to distracted driver detection. LA-CCI 2018: 1-6
Coauthor Index
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last updated on 2024-06-03 00:13 CEST by the dblp team
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