Alexandre Rodrigues

According to our database, Alexandre Rodrigues authored at least 23 papers between 2006 and 2023.

Collaborative distances:

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

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

BIRCHSCAN: A sampling method for applying DBSCAN to large datasets.

Igor de Moura Ventorim, Diego Luchi, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão

Expert Syst. Appl., 2021

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals.

Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão

Expert Syst. Appl., 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

Sampling approaches for applying DBSCAN to large datasets.

Diego Luchi, Alexandre L. Rodrigues, Flávio Miguel Varejão

Pattern Recognit. Lett., 2019

Reducing power companies billing costs via empirical bayes and seasonality remover.

Alexandre Rodrigues, Lucas Martinuzzo, Flávio Miguel Varejão, Vítor E. Silva Souza, Thiago Oliveira-Santos

Eng. Appl. Artif. Intell., 2019

2018

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps.

Thiago Oliveira-Santos, Alexandre Rodrigues, Victor Freitas Rocha, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Integr. Comput. Aided Eng., 2018

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps.

Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão, Vítor E. Silva Souza, Marcos Pellegrini Ribeiro

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.

Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.

Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Monthly energy consumption forecast: A deep learning approach.

Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.

Thiago Oliveira-Santos, Thomas W. Rauber, Flávio Miguel Varejão, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Genetic Algorithm Approach for Clustering Large Data Sets.

Diego Luchi, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão, Willian Santos

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Genetic Sampling k-means for Clustering Large Data Sets.

Diego Luchi, Willian Santos, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2013

Optimization metaheuristics for minimizing variance in a real-world statistical application.

Estevão Costa, Fábio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flávio Miguel Varejão

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration.

Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro

Proceedings of the IECON 2013, 2013

Using GA for the stratified sampling of electricity consumers.

E. de O. da Costa, Fábio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flávio Miguel Varejão, Rodrigo M. Ferro

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2006

Estimation of seasonal fractionally integrated processes.

Valderio Anselmo Reisen, Alexandre L. Rodrigues, Wilfredo Palma

Comput. Stat. Data Anal., 2006