Flávio Miguel Varejão
Orcid: 0000-0002-5444-1974Affiliations:
- Federal University of Espírito Santo (UFES), Department of Computer Science, Vitória, Brazil
According to our database1,
Flávio Miguel Varejão
authored at least 61 papers
between 2000 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on inf.ufes.br
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on orcid.org
On csauthors.net:
Bibliography
2023
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis.
Expert Syst. Appl., 2023
2022
Knowl. Inf. Syst., 2022
J. Mach. Learn. Res., 2022
An experimental framework for evaluating loss minimization in multi-label classification via stochastic process.
Comput. Intell., 2022
Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
2021
Expert Syst. Appl., 2021
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals.
Expert Syst. Appl., 2021
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Pattern Recognit. Lett., 2019
Eng. Appl. Artif. Intell., 2019
2018
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps.
Integr. Comput. Aided Eng., 2018
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
2017
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.
Neurocomputing, 2017
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages.
Proceedings of the IECON 2016, 2016
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Decision template multi-label classification based on recursive dependent binary relevance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis.
IEEE Trans. Ind. Electron., 2015
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014
Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Optimization metaheuristics for minimizing variance in a real-world statistical application.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the IECON 2013, 2013
Proceedings of the Seventh International Conference on Sensing Technology, 2013
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the 20th IEEE International Conference on Electronics, 2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network.
Proceedings of the Computer Analysis of Images and Patterns, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles.
Integr. Comput. Aided Eng., 2011
Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software.
Proceedings of the ENASE 2011, 2011
2010
A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
2009
Proceedings of the Third International Conference on Network and System Security, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
2008
Proceedings of the Advances in Artificial Intelligence, 2008
Proceedings of the Advances in Artificial Intelligence, 2008
2002
An Expert System Application for Improving Results in a Handwritten Form Recognition System.
Proceedings of the Developments in Applied Artificial Intelligence, 2002
Multi-agent Systems and Network Management - A Positive Experience on Unix Environments.
Proceedings of the Advances in Artificial Intelligence, 2002
2000
Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários.
Proceedings of the International Joint Conference, 2000
Proceedings of the Advances in Artificial Intelligence, 2000
HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents.
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000
Proceedings of the Artificial Intelligence in Design '00, 2000