Comparing transfer learning approaches applied to distracted driver detection. - Flávio Rosendo Da Silva Oliveira; Felipe Costa Farias (LA-CCI, 2018)

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 (IJCNN, 2019)

Similarity Based Stratified Splitting: an approach to train better classifiers. - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo José Albanez Bastos Filho (CoRR, 2020)

Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo José Albanez Bastos Filho (CoRR, 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)

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., 2023)

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)