Flávio Miguel Varejão

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 29

Top Topics

Fault Diagnosis

Feature Selection

Tennessee Eastman

Empirical Bayes

Top Venues

Publications

Flávio Miguel Varejão, Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Alexandre Rodrigues Loureiros
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 (2024)
Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis. Expert Syst. Appl. 212 (2023)
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)
Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre Loureiros Rodrigues
An experimental framework for evaluating loss minimization in multi-label classification via stochastic process. Comput. Intell. 38 (2) (2022)
Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre Loureiros Rodrigues
A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method. J. Mach. Learn. Res. 23 (2022)
Victor Freitas Rocha, Flávio Miguel Varejão, Marcelo Eduardo Vieira Segatto
Ensemble of classifier chains and decision templates for multi-label classification. Knowl. Inf. Syst. 64 (3) (2022)
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 (2021)
Gabriel Soares Baptista, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Alexandre Loureiros Rodrigues
One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps. SIBGRAPI (2021)
Bruno Guilherme Carvalho, Ricardo Emanuel Vaz Vargas, Ricardo Menezes Salgado, Celso José Munaro, Flávio Miguel Varejão
Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers. ISIE (2021)
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 (2021)
Bruno Guilherme Carvalho, Ricardo Emanuel Vaz Vargas, Ricardo Menezes Salgado, Celso José Munaro, Flávio Miguel Varejão
Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells. INDIN (2021)
Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros
Metric Learning for Electrical Submersible Pump Fault Diagnosis. IJCNN (2020)
Fábio Fabris, Diego Luchi, Flávio Miguel Varejão
Coevolutive clustering algorithm for large datasets. CEC (2020)
Alexandre Rodrigues, Lucas Martinuzzo, Flávio Miguel Varejão, Vítor E. Silva Souza, Thiago Oliveira-Santos
Reducing power companies billing costs via empirical bayes and seasonality remover. Eng. Appl. Artif. Intell. 81 (2019)
Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre L. Rodrigues, Thomas W. Rauber
NP-Hardness of minimum expected coverage. Pattern Recognit. Lett. 117 (2019)
Diego Luchi, Alexandre L. Rodrigues, Flávio Miguel Varejão
Sampling approaches for applying DBSCAN to large datasets. Pattern Recognit. Lett. 117 (2019)
Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão, Vítor E. Silva Souza, Marcos Pellegrini Ribeiro
A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. INDIN (2018)
Thiago Oliveira-Santos, Alexandre Rodrigues, Victor F. Rocha, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. Integr. Comput. Aided Eng. 25 (4) (2018)
Lucas Martinuzzo Batista, Diego Lucchil, Flávio Miguel Varejão, Alexandre Rodngues, Filipe Lima, Thiago Oliveira-Santos
Electricity Readers Routing Based on Clustering and Communities Detection. INDIN (2018)
Jeferson de Oliveira Batista, Rodrigo Biancardi Rodrigues, Flávio Miguel Varejão
Soft computing classifier ensemble for fault diagnosis. ISIE (2017)
Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE (2017)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239 (2017)
Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos
Monthly energy consumption forecast: A deep learning approach. IJCNN (2017)
Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN (2017)
Diego Luchi, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão, Willian Santos
A Genetic Algorithm Approach for Clustering Large Data Sets. ICTAI (2016)
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)
Marcos Daniel Valadão Baroni, Flávio Miguel Varejão
A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept. CEC (2016)
Thomas W. Rauber, Victor F. Rocha, Lucas H. Sousa Mello, Flávio Miguel Varejão
Decision template multi-label classification based on recursive dependent binary relevance. CEC (2016)
Raphael Santos Broetto, Flávio Miguel Varejão
Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages. IECON (2016)
Diego Luchi, Willian Santos, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão
Genetic Sampling k-means for Clustering Large Data Sets. CIARP (2015)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62 (1) (2015)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. INDIN (2015)
Marcos Daniel Valadão Baroni, Flávio Miguel Varejão
A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem. CIARP (2015)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI (2015)
Thomas W. Rauber, Lucas H. Sousa Mello, Victor F. Rocha, Flávio Miguel Varejão
Multi-label Fault Classification Experiments in a Chemical Process. BRACIS (2014)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. INDIN (2014)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. IECON (2014)
Guilherme Marcio Soares, Alcindo G. B. Almeida, Raphael M. Mendes, Estêvão Coelho Teixeira, Henrique A. C. Braga, Missael N. Machado, Raphael Santos Broetto, Murillo V. H. B. Castro, Helder O. Gomes Filho, Flávio Miguel Varejão, José Gonçalves Pereira Filho, André Bernadi Candeia, Rafael A. A. Sousa
Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks. I2MTC (2014)
Thomas W. Rauber, Lucas H. Sousa Mello, Victor F. Rocha, Diego Luchi, Flávio Miguel Varejão
Recursive Dependent Binary Relevance Model for Multi-label Classification. IBERAMIA (2014)
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)
Guilherme Marcio Soares, Alcindo G. B. Almeida, Raphael M. Mendes, Estêvão Coelho Teixeira, Henrique A. C. Braga, Missael N. Machado, Raphael Santos Broetto, Murillo V. H. B. Castro, Helder O. Gomes Filho, Flávio Miguel Varejão, José Gonçalves Pereira Filho, André Bernadi Candeia, Rafael A. A. Sousa
Detection of street lighting bulbs information to minimize commercial losses. ICST (2013)
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)
Raphael Santos Broetto, José Gonçalves Pereira Filho, Flávio Miguel Varejão, André Bernadi Candeia
Automated image recognition of public lighting luminaries. ICECS (2013)
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)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Feature models and condition visualization for rotating machinery fault diagnosis. ICECS (2013)
Thomas W. Rauber, Flávio Miguel Varejão
Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. CAIP (1) (2013)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. ICECS (2013)
Lucas H. Sousa Mello, Flávio Miguel Varejão, Thomas W. Rauber
Kernel enhanced multilayer perceptron for industrial process diagnosis. IJCNN (2012)
Marcos Vescovi, Flávio Miguel Varejão, Vagner Cordeiro
Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software. ENASE (2011)
Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris, Marcelo Valentim, Rodrigo J. Batista, Flávio Miguel Varejão, Thomas W. Rauber
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles. Integr. Comput. Aided Eng. 18 (1) (2011)
Estefhan Dazzi Wandekokem, Flávio Miguel Varejão, Thomas W. Rauber
An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis. CIARP (2010)
Marcelo V. de Oliveira, Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris, Flávio Miguel Varejão, Thomas W. Rauber, Rodgrigo Batista
A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. ICTAI (1) (2010)
Eduardo Mendel, Thomas W. Rauber, Flávio Miguel Varejão, Rodrigo J. Batista
Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs. EUSIPCO (2009)
Fábio Fabris, Leticia Rosetti Margoto, Flávio Miguel Varejão
Novel Approaches for Detecting Frauds in Energy Consumption. NSS (2009)
Gabriela Trazzi Perim, Estefhan Dazzi Wandekokem, Flávio Miguel Varejão
K-Means Initialization Methods for Improving Clustering by Simulated Annealing. IBERAMIA (2008)
Fábio Fabris, Idilio Drago, Flávio Miguel Varejão
A Multi-measure Nearest Neighbor Algorithm for Time Series Classification. IBERAMIA (2008)
Silvana Rossetto, Flávio Miguel Varejão, Thomas W. Rauber
An Expert System Application for Improving Results in a Handwritten Form Recognition System. IEA/AIE (2002)
Nelson dos Santos, Flávio Miguel Varejão, Orivaldo de Lira Tavares
Multi-agent Systems and Network Management - A Positive Experience on Unix Environments. IBERAMIA (2002)
Silvana Rossetto, Flávio Miguel Varejão, Thomas W. Rauber
Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários. IBERAMIA-SBIA 2000 Open Discussion Track (2000)
Flávio Miguel Varejão, Crediné S. De Menezes, Ana Cristina Bicharra Garcia, Clarisse S. de Souza, Markus P. J. Fromherz
Towards an Ontological Framework for Knowledge-Based Design Systems. AID (2000)
Berilhes Borges Garcia, José Gabriel Pereira Lopes, Flávio Miguel Varejão
Compiling Default Theory int Extended Logic Programming. IBERAMIA-SBIA (2000)
Sandro Coimbra Assis, Flávio Miguel Varejão, Ana Cristina Bicharra Garcia
HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents. FLAIRS Conference (2000)