Estimation of seasonal fractionally integrated processes. - Valderio Anselmo Reisen; Alexandre L. Rodrigues 001; Wilfredo Palma (Comput. Stat. Data Anal., 2006)

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 (IEEE Congress on Evolutionary Computation, 2013)

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. - Thomas W. Rauber; Flávio Miguel Varejão; Fábio Fabris; Alexandre Rodrigues 001; Marcos Pellegrini Ribeiro (IECON, 2013)

Optimization metaheuristics for minimizing variance in a real-world statistical application. - Estevão Costa; Fábio Fabris; Alexandre Rodrigues Loureiros; Hannu Ahonen; Flávio Miguel Varejão (SAC, 2013)

Genetic Sampling k-means for Clustering Large Data Sets. - Diego Luchi; Willian Santos; Alexandre Rodrigues Loureiros; Flávio Miguel Varejão (CIARP, 2015)

A Genetic Algorithm Approach for Clustering Large Data Sets. - Diego Luchi; Alexandre Rodrigues Loureiros; Flávio Miguel Varejão; Willian Santos (ICTAI, 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 001 (ICTAI, 2016)

Monthly energy consumption forecast: A deep learning approach. - Rodrigo Ferreira Berriel; Andre Teixeira Lopes; Alexandre Rodrigues 001; Flávio Miguel Varejão; Thiago Oliveira-Santos (IJCNN, 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 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (IJCNN, 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 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ISIE, 2017)

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. - Gustavo Epichin Monjardim; Alexandre Rodrigues 001; Flávio Miguel Varejão; Vítor E. Silva Souza; Marcos Pellegrini Ribeiro (INDIN, 2018)

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. - Thiago Oliveira-Santos; Alexandre Rodrigues 001; Victor Freitas Rocha; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (Integr. Comput. Aided Eng., 2018)

Reducing power companies billing costs via empirical bayes and seasonality remover. - Alexandre Rodrigues 001; Lucas Martinuzzo; Flávio Miguel Varejão; Vítor E. Silva Souza; Thiago Oliveira-Santos (Eng. Appl. Artif. Intell., 2019)

Sampling approaches for applying DBSCAN to large datasets. - Diego Luchi; Alexandre L. Rodrigues 001; Flávio Miguel Varejão (Pattern Recognit. Lett., 2019)

NP-Hardness of minimum expected coverage. - Lucas Henrique Sousa Mello; Flávio Miguel Varejão; Alexandre L. Rodrigues 001; Thomas W. Rauber (Pattern Recognit. Lett., 2019)

Metric Learning for Electrical Submersible Pump Fault Diagnosis. - Lucas Henrique Sousa Mello; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos; Flávio Miguel Varejão; Alexandre Rodrigues Loureiros (IJCNN, 2020)

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 (SIBGRAPI, 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)

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)

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 (ISIE, 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)

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)

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 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (Expert Syst. Appl., 2023)

Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection. - Nilo Garcia Monteiro; Luciano Henrique Peixoto da Silva; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (IJCNN, 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)

Electrical submersible pump fault diagnosis based on 2D transformation of vibration signals and transfer learning of image classification networks. - Luciano Henrique Peixoto da Silva; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (Neural Comput. Appl., 2025)