Francisco Lucas Falcao Pereira

According to our database, Francisco Lucas Falcao Pereira authored at least 7 papers between 2017 and 2022.

Collaborative distances:

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

2022

Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data.

Francisco Lucas Falcao Pereira, Raif C. B. Bucar, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models.

Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Iago C. Chaves, Javam C. Machado, João Paulo Pordeus Gomes

IEEE Trans. Computers, 2021

Robust Cardinality: a novel approach for cardinality prediction in SQL queries.

Francisco D. B. S. Praciano, Paulo Roberto Pessoa Amora, Italo C. Abreu, Francisco Lucas Falcao Pereira, Javam C. Machado

J. Braz. Comput. Soc., 2021

2020

Using Autoencoders for Anomaly Detection in Hard Disk Drives.

Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Remaining Useful Life Estimation of Hard Disk Drives based on Deep Neural Networks.

Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluation of Recurrent Neural Networks for Hard Disk Drives Failure Prediction.

Fernando Dione dos Santos Lima, Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam de Castro Machado

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction.

Francisco Lucas Falcao Pereira, Fernando Dione dos Santos Lima, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017