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Flavio Miguel Varejão
Flavio Miguel Varejão
Professor de Ciência da Computação, Universidade Federal do Espírito Santo
Verified email at inf.ufes.br - Homepage
Title
Cited by
Cited by
Year
Heterogeneous feature models and feature selection applied to bearing fault diagnosis
TW Rauber, F de Assis Boldt, FM Varejão
IEEE Transactions on Industrial Electronics 62 (1), 637-646, 2014
3002014
Monthly energy consumption forecast: A deep learning approach
RF Berriel, AT Lopes, A Rodrigues, FM Varejao, T Oliveira-Santos
2017 International Joint Conference on Neural Networks (IJCNN), 4283-4290, 2017
832017
Linguagens de Programação: conceitos e técnicas
F VAREJÃO
Rio de Janeiro: Campus 4, 2004
502004
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles
E Wandekokem, E Mendel, F Fabris, M Valentim, RJ Batista, FM Varejao, ...
Integrated Computer-Aided Engineering 18 (1), 61-74, 2011
472011
Sampling approaches for applying DBSCAN to large datasets
D Luchi, AL Rodrigues, FM Varejão
Pattern Recognition Letters 117, 90-96, 2019
452019
Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs
E Mendel, TW Rauber, FM Varejão, RJ Batista
2009 17th European Signal Processing Conference, 1602-1606, 2009
422009
Automatic bearing fault pattern recognition using vibration signal analysis
E Mendel, LZ Mariano, I Drago, S Loureiro, TW Rauber, FM Varejao, ...
2008 IEEE International Symposium on Industrial Electronics, 955-960, 2008
342008
K-means initialization methods for improving clustering by simulated annealing
GT Perim, ED Wandekokem, FM Varejão
Ibero-American Conference on Artificial Intelligence, 133-142, 2008
292008
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals
TW Rauber, AL da Silva Loca, F de Assis Boldt, AL Rodrigues, ...
Expert Systems with Applications 167, 114022, 2021
262021
Cascade feature selection and ELM for automatic fault diagnosis of the Tennessee Eastman process
F de Assis Boldt, TW Rauber, FM Varejão
Neurocomputing 239, 238-248, 2017
192017
A methodology to refine the technical losses calculation from estimates of non-technical losses
C Donadel, J Anicio, M Fredes, F Varejao, G Comarela, G Perim
CIRED 2009-20th International Conference and Exhibition on Electricity …, 2009
182009
Pattern recognition based fault diagnosis in industrial processes: Review and application
TW Rauber, EM do Nascimento, ED Wandekokem, FM Varejão, A Herout
Pattern Recognition Recent Advances, 483-508, 2010
172010
Towards an ontological framework for knowledge-based design systems
FM Varejão, CSD Menezes, ACB Garcia, CSD Souza, MPJ Fromherz
Artificial Intelligence in Design’00, 55-75, 2000
152000
Submersible motor pump fault diagnosis system: A comparative study of classification methods
T Oliveira-Santos, TW Rauber, FM Varejao, L Martinuzzo, W Oliveira, ...
2016 IEEE 28th International Conference on Tools with Artificial …, 2016
142016
Feature extraction and selection for automatic fault diagnosis of rotating machinery
F Boldt, T Rauber, F Varejão
Lbd. Dcc. Ufmg. Br 1, 1-8, 2013
142013
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis
TW Rauber, T Oliveira-Santos, F de Assis Boldt, A Rodrigues, FM Varejao, ...
2017 International Joint Conference on Neural Networks (IJCNN), 3347-3354, 2017
132017
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions
F de Assis Boldt, TW Rauber, FM Varejão, MP Ribeiro
2014 12th IEEE International Conference on Industrial Informatics (INDIN), 67-72, 2014
122014
Novel approaches for detecting frauds in energy consumption
F Fabris, LR Margoto, FM Varejao
2009 Third International Conference on Network and System Security, 546-551, 2009
122009
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps
T Oliveira-Santos, A Rodrigues, VF Rocha, TW Rauber, FM Varejao, ...
Integrated Computer-Aided Engineering 25 (4), 381-396, 2018
112018
Hybrid genetic algorithm applied to the clustering problem
DP de Faria Alckmin, FM Varejão
Investigación Operacional 33 (2), 141-151, 2014
112014
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