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Lucas Henrique Sousa Mello
Lucas Henrique Sousa Mello
Unknown affiliation
Verified email at aluno.ufes.br
Title
Cited by
Cited by
Year
Metric learning for electrical submersible pump fault diagnosis
LHS Mello, MP Ribeiro, TO Santos, FM Varejão, AL Rodrigues
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
82020
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis
LHP da Silva, LHS Mello, A Rodrigues, FM Varejão, MP Ribeiro, ...
Expert Systems with Applications 212, 118508, 2023
62023
Ensemble of metric learners for improving electrical submersible pump fault diagnosis
LHS Mello, T Oliveira-Santos, FM Varejão, MP Ribeiro, AL Rodrigues
Journal of Petroleum Science and Engineering 218, 110875, 2022
52022
Recursive dependent binary relevance model for multi-label classification
TW Rauber, LH Mello, VF Rocha, D Luchi, FM Varejão
Advances in Artificial Intelligence--IBERAMIA 2014: 14th Ibero-American …, 2014
52014
Multi-label fault classification experiments in a chemical process
TW Rauber, LHS Mello, VF Rocha, FM Varejão
2014 Brazilian Conference on Intelligent Systems, 265-270, 2014
42014
NP-Hardness of minimum expected coverage
LHS Mello, FM Varejão, AL Rodrigues, TW Rauber
Pattern Recognition Letters 117, 45-51, 2019
32019
One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps
GS Baptista, LHS Mello, T Oliveira-Santos, FM Varejão, MP Ribeiro, ...
2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2021
22021
Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals
VB Bonella, MP Ribeiro, LHS Mello, T Oliveira-Santos, AL Rodrigues, ...
2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), 156-163, 2022
12022
An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration
FM Varejão, LHS Mello, MP Ribeiro, T Oliveira-Santos, AL Rodrigues
Knowledge-Based Systems 288, 111452, 2024
2024
An experimental framework for evaluating loss minimization in multi‐label classification via stochastic process
L Henrique Sousa Mello, FM Varejão, AL Rodrigues
Computational Intelligence 38 (2), 641-666, 2022
2022
A worst case analysis of calibrated label ranking multi-label classification method
LHS Mello, FM Varejão, AL Rodrigues
Journal of Machine Learning Research 23 (168), 1-30, 2022
2022
Decision template multi-label classification based on recursive dependent binary relevance
TW Rauber, VF Rocha, LHS Mello, FM Varejão
2016 IEEE Congress on Evolutionary Computation (CEC), 2402-2408, 2016
2016
Kernel enhanced multilayer perceptron for industrial process diagnosis
LHS Mello, FM Varejão, TW Rauber
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
2012
Analysis of the impacts of label dependence in multi-label learning
LHS Mello
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Articles 1–14