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Alexandre Rodrigues 0001
Person information
- affiliation: Federal University of Espírito Santo, Vitória, ES, Brazil
Other persons with the same name
- Alexandre Rodrigues 0002 — New University of Lisbon, Faculty of Science and Technology, Caparica, Portugal
- Alexandre Rodrigues 0003 — Universidade Federal do Amazonas, Coroado, Brazil
- Alexandre Rodrigues 0004
(aka: Alexandre A. Rodrigues 0004, Alexandre A. P. Rodrigues) — University of Porto, Department of Mathematics, Portugal
- Alexandre Rodrigues 0005 — Portuguese Air Force Academy, Sintra, Portugal
- Alexandre Rodrigues 0006
- Alexandre Rodrigues 0007 — Polytechnic Institute of Leiria, Portugal
- Alexandre L. Rodrigues 0002 — Federal University of Minas Gerais, Belo Horizonte, Brazil
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2020 – today
- 2024
- [j11]Flávio Miguel Varejão
An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration. Knowl. Based Syst. 288: 111452 (2024) - [c14]Nilo Garcia Monteiro, Luciano Henrique Peixoto da Silva, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos:
Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection. IJCNN 2024: 1-8 - 2023
- [j10]Luciano Henrique Peixoto da Silva
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis. Expert Syst. Appl. 212: 118508 (2023) - 2022
- [j9]Lucas Henrique Sousa Mello
An experimental framework for evaluating loss minimization in multi-label classification via stochastic process. Comput. Intell. 38(2): 641-666 (2022) - [j8]Lucas Henrique Sousa Mello, Flávio Miguel Varejão
A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method. J. Mach. Learn. Res. 23: 168:1-168:30 (2022) - [c13]Vitor Berger Bonella, Marcos Pellegrini Ribeiro, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals. ISIE 2022: 156-163 - 2021
- [j7]Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. Expert Syst. Appl. 167: 114022 (2021) - [j6]Igor de Moura Ventorim, Diego Luchi, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
BIRCHSCAN: A sampling method for applying DBSCAN to large datasets. Expert Syst. Appl. 184: 115518 (2021) - [c12]Gabriel Soares Baptista, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Flávio Miguel Varejão
One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps. SIBGRAPI 2021: 402-408 - 2020
- [c11]Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão
Metric Learning for Electrical Submersible Pump Fault Diagnosis. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Alexandre Rodrigues, Lucas Martinuzzo, Flávio Miguel Varejão
Reducing power companies billing costs via empirical bayes and seasonality remover. Eng. Appl. Artif. Intell. 81: 387-396 (2019) - [j4]Lucas Henrique Sousa Mello, Flávio Miguel Varejão
NP-Hardness of minimum expected coverage. Pattern Recognit. Lett. 117: 45-51 (2019) - [j3]Diego Luchi, Alexandre L. Rodrigues, Flávio Miguel Varejão
Sampling approaches for applying DBSCAN to large datasets. Pattern Recognit. Lett. 117: 90-96 (2019) - 2018
- [j2]Thiago Oliveira-Santos, Alexandre Rodrigues, Victor Freitas Rocha, Thomas W. Rauber, Flávio Miguel Varejão
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. Integr. Comput. Aided Eng. 25(4): 381-396 (2018) - [c10]Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão
A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. INDIN 2018: 843-848 - 2017
- [c9]Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN 2017: 3347-3354 - [c8]Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão
Monthly energy consumption forecast: A deep learning approach. IJCNN 2017: 4283-4290 - [c7]Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE 2017: 1807-1812 - 2016
- [c6]Thiago Oliveira-Santos, Thomas W. Rauber, Flávio Miguel Varejão, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues:
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. ICTAI 2016: 415-422 - [c5]Diego Luchi, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão, Willian Santos:
A Genetic Algorithm Approach for Clustering Large Data Sets. ICTAI 2016: 570-576 - 2015
- [c4]Diego Luchi, Willian Santos, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão:
Genetic Sampling k-means for Clustering Large Data Sets. CIARP 2015: 691-698 - 2013
- [c3]E. de O. da Costa, Fábio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flávio Miguel Varejão, Rodrigo M. Ferro:
Using GA for the stratified sampling of electricity consumers. IEEE Congress on Evolutionary Computation 2013: 261-268 - [c2]Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro:
Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. IECON 2013: 5537-5542 - [c1]Estevão Costa, Fábio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flávio Miguel Varejão:
Optimization metaheuristics for minimizing variance in a real-world statistical application. SAC 2013: 206-207
2000 – 2009
- 2006
- [j1]Valderio Anselmo Reisen, Alexandre L. Rodrigues, Wilfredo Palma:
Estimation of seasonal fractionally integrated processes. Comput. Stat. Data Anal. 50(2): 568-582 (2006)
Coauthor Index
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