Lucas H. Sousa Mello

According to our database, Lucas H. Sousa Mello authored at least 12 papers between 2012 and 2024.

Collaborative distances:

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

2024

An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration.

Flávio Miguel Varejão, Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Alexandre Rodrigues Loureiros

Knowl. Based Syst., 2024

2023

Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis.

Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos

Expert Syst. Appl., 2023

2022

A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method.

Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre Loureiros Rodrigues

J. Mach. Learn. Res., 2022

An experimental framework for evaluating loss minimization in multi-label classification via stochastic process.

Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre Loureiros Rodrigues

Comput. Intell., 2022

Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals.

Vitor Berger Bonella, Marcos Pellegrini Ribeiro, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021

One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps.

Gabriel Soares Baptista, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Alexandre Loureiros Rodrigues

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020

Metric Learning for Electrical Submersible Pump Fault Diagnosis.

Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros

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

2019

NP-Hardness of minimum expected coverage.

Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre L. Rodrigues, Thomas W. Rauber

Pattern Recognit. Lett., 2019

2016

Decision template multi-label classification based on recursive dependent binary relevance.

Thomas W. Rauber, Victor Freitas Rocha, Lucas H. Sousa Mello, Flávio Miguel Varejão

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014

Recursive Dependent Binary Relevance Model for Multi-label Classification.

Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Diego Luchi, Flávio Miguel Varejão

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Multi-label Fault Classification Experiments in a Chemical Process.

Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Flávio Miguel Varejão

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2012

Kernel enhanced multilayer perceptron for industrial process diagnosis.

Lucas H. Sousa Mello, Flávio Miguel Varejão, Thomas W. Rauber

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012