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Flávio Miguel Varejão
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- affiliation: Federal University of Espírito Santo (UFES), Department of Computer Science, Vitória, Brazil
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2020 – today
- 2024
- [j14]Flávio Miguel Varejão
, Lucas Henrique Sousa Mello
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) - [c49]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
- [j13]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
- [j12]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) - [j11]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) - [j10]Victor Freitas Rocha
Ensemble of classifier chains and decision templates for multi-label classification. Knowl. Inf. Syst. 64(3): 643-663 (2022) - [c48]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
- [j9]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) - [j8]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) - [c47]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: 1-6 - [c46]Bruno Guilherme Carvalho
Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers. ISIE 2021: 1-6 - [c45]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
- [c44]Fábio Fabris, Diego Luchi, Flávio Miguel Varejão
Coevolutive clustering algorithm for large datasets. CEC 2020: 1-8 - [c43]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
- [j7]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) - [j6]Lucas Henrique Sousa Mello, Flávio Miguel Varejão
NP-Hardness of minimum expected coverage. Pattern Recognit. Lett. 117: 45-51 (2019) - [j5]Diego Luchi, Alexandre L. Rodrigues, Flávio Miguel Varejão
Sampling approaches for applying DBSCAN to large datasets. Pattern Recognit. Lett. 117: 90-96 (2019) - 2018
- [j4]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) - [c42]Lucas Martinuzzo Batista, Diego Lucchil, Flávio Miguel Varejão
Electricity Readers Routing Based on Clustering and Communities Detection. INDIN 2018: 583-588 - [c41]Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão
A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. INDIN 2018: 843-848 - 2017
- [j3]Francisco de Assis Boldt
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239: 238-248 (2017) - [c40]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 - [c39]Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão
Monthly energy consumption forecast: A deep learning approach. IJCNN 2017: 4283-4290 - [c38]Jeferson de Oliveira Batista, Rodrigo Biancardi Rodrigues, Flávio Miguel Varejão
Soft computing classifier ensemble for fault diagnosis. ISIE 2017: 1348-1353 - [c37]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
- [c36]Thomas W. Rauber, Victor Freitas Rocha, Lucas H. Sousa Mello, Flávio Miguel Varejão:
Decision template multi-label classification based on recursive dependent binary relevance. CEC 2016: 2402-2408 - [c35]Marcos Daniel Valadão Baroni, Flávio Miguel Varejão:
A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept. CEC 2016: 2718-2723 - [c34]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 - [c33]Diego Luchi, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão, Willian Santos:
A Genetic Algorithm Approach for Clustering Large Data Sets. ICTAI 2016: 570-576 - [c32]Raphael Santos Broetto, Flávio Miguel Varejão:
Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages. IECON 2016: 933-938 - 2015
- [j2]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): 637-646 (2015) - [c31]Diego Luchi, Willian Santos, Alexandre Rodrigues Loureiros, Flávio Miguel Varejão:
Genetic Sampling k-means for Clustering Large Data Sets. CIARP 2015: 691-698 - [c30]Marcos Daniel Valadão Baroni, Flávio Miguel Varejão:
A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem. CIARP 2015: 768-775 - [c29]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI 2015: 697-704 - [c28]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: 127-132 - 2014
- [c27]Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Flávio Miguel Varejão:
Multi-label Fault Classification Experiments in a Chemical Process. BRACIS 2014: 265-270 - [c26]Guilherme Marcio Soares
Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks. I2MTC 2014: 336-341 - [c25]Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Diego Luchi, Flávio Miguel Varejão:
Recursive Dependent Binary Relevance Model for Multi-label Classification. IBERAMIA 2014: 206-217 - [c24]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: 2551-2557 - [c23]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: 67-72 - 2013
- [c22]Thomas W. Rauber, Flávio Miguel Varejão:
Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. CAIP (1) 2013: 449-456 - [c21]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 - [c20]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: 265-268 - [c19]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: 477-480 - [c18]Raphael Santos Broetto, José Gonçalves Pereira Filho, Flávio Miguel Varejão, André Bernadi Candeia:
Automated image recognition of public lighting luminaries. ICECS 2013: 657-660 - [c17]Guilherme Marcio Soares
Detection of street lighting bulbs information to minimize commercial losses. ICST 2013: 895-900 - [c16]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 - [c15]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 - 2012
- [c14]Lucas H. Sousa Mello, Flávio Miguel Varejão, Thomas W. Rauber:
Kernel enhanced multilayer perceptron for industrial process diagnosis. IJCNN 2012: 1-8 - 2011
- [j1]Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris, Marcelo Valentim, Rodrigo J. Batista, Flávio Miguel Varejão
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles. Integr. Comput. Aided Eng. 18(1): 61-74 (2011) - [c13]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: 70-79 - 2010
- [c12]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: 500-508 - [c11]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: 417-420
2000 – 2009
- 2009
- [c10]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: 1602-1606 - [c9]Fábio Fabris, Leticia Rosetti Margoto, Flávio Miguel Varejão:
Novel Approaches for Detecting Frauds in Energy Consumption. NSS 2009: 546-551 - 2008
- [c8]Gabriela Trazzi Perim, Estefhan Dazzi Wandekokem, Flávio Miguel Varejão:
K-Means Initialization Methods for Improving Clustering by Simulated Annealing. IBERAMIA 2008: 133-142 - [c7]Fábio Fabris, Idilio Drago
A Multi-measure Nearest Neighbor Algorithm for Time Series Classification. IBERAMIA 2008: 153-162 - 2002
- [c6]Nelson dos Santos, Flávio Miguel Varejão, Orivaldo de Lira Tavares:
Multi-agent Systems and Network Management - A Positive Experience on Unix Environments. IBERAMIA 2002: 616-624 - [c5]Silvana Rossetto, Flávio Miguel Varejão, Thomas W. Rauber:
An Expert System Application for Improving Results in a Handwritten Form Recognition System. IEA/AIE 2002: 383-392 - 2000
- [c4]Flávio Miguel Varejão, Crediné Silva 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: 55-75 - [c3]Sandro Coimbra Assis, Flávio Miguel Varejão, Ana Cristina Bicharra Garcia:
HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents. FLAIRS 2000: 176-180 - [c2]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: 96-106 - [c1]Berilhes Borges Garcia, José Gabriel Pereira Lopes
Compiling Default Theory int Extended Logic Programming. IBERAMIA-SBIA 2000: 207-216
Coauthor Index
Lucas H. Sousa Mello
aka: Lucas Henrique Sousa Mello
aka: Lucas Henrique Sousa Mello
Thomas W. Rauber
aka: Thomas Walter Rauber
aka: Thomas Walter Rauber
Alexandre Rodrigues 0001
aka: Alexandre Rodrigues Loureiros
aka: Alexandre L. Rodrigues 0001
aka: Alexandre Loureiros Rodrigues
aka: Alexandre Rodrigues Loureiros
aka: Alexandre L. Rodrigues 0001
aka: Alexandre Loureiros Rodrigues
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last updated on 2024-09-21 01:44 CEST by the dblp team
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