Felipe Costa Farias

According to our database, Felipe Costa Farias authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.

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

Eng. Appl. Artif. Intell., 2024

2023

A robust fleet-based anomaly detection framework applied to wind turbine vibration data.

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

Eng. Appl. Artif. Intell., November, 2023

2022

Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!

Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho

CoRR, 2022

Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures.

Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho

CoRR, 2022

2020

Similarity Based Stratified Splitting: an approach to train better classifiers.

Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho

CoRR, 2020

2019

Analyzing the impact of data representations in classification problems using clustering.

Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Comparing transfer learning approaches applied to distracted driver detection.

Flávio Rosendo Da Silva Oliveira, Felipe Costa Farias

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018