Search Results - Varejão, Flávio Miguel

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  1. 1
    Sampling approaches for applying DBSCAN to large datasets

    Sampling approaches for applying DBSCAN to large datasets by Luchi, Diego, Loureiros Rodrigues, Alexandre, Miguel Varejão, Flávio

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  2. 2
    BIRCHSCAN: A sampling method for applying DBSCAN to large datasets

    BIRCHSCAN: A sampling method for applying DBSCAN to large datasets by de Moura Ventorim, Igor, Luchi, Diego, Rodrigues, Alexandre Loureiros, Varejão, Flávio Miguel

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  3. 3
    An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals

    An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals by Rauber, Thomas Walter, da Silva Loca, Antonio Luiz, Boldt, Francisco de Assis, Rodrigues, Alexandre Loureiros, Varejão, Flávio Miguel

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  4. 4
    Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis

    Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis by Silva, Luciano Henrique Peixoto da, Mello, Lucas Henrique Sousa, Rodrigues, Alexandre, Varejão, Flávio Miguel, Ribeiro, Marcos Pellegrini, Oliveira-Santos, Thiago

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  5. 5
    Ensemble of classifier chains and decision templates for multi-label classification

    Ensemble of classifier chains and decision templates for multi-label classification by Freitas Rocha, Victor, Varejão, Flávio Miguel, Segatto, Marcelo Eduardo Vieira

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  6. 6
    Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

    Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis by Rauber, Thomas W., de Assis Boldt, Francisco, Varejao, Flavio Miguel

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  7. 7
    An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration

    An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration by Varejão, Flávio Miguel, Sousa Mello, Lucas Henrique, Pellegrini Ribeiro, Marcos, Oliveira-Santos, Thiago, Loureiros Rodrigues, Alexandre

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  8. 8
    Ensemble of metric learners for improving electrical submersible pump fault diagnosis

    Ensemble of metric learners for improving electrical submersible pump fault diagnosis by Mello, Lucas Henrique Sousa, Oliveira-Santos, Thiago, Varejão, Flávio Miguel, Ribeiro, Marcos Pellegrini, Rodrigues, Alexandre Loureiros

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  9. 9
    Metric Learning for Electrical Submersible Pump Fault Diagnosis

    Metric Learning for Electrical Submersible Pump Fault Diagnosis by Sousa Mello, Lucas Henrique, Pellegrini Ribeiro, Marcos, Santos, Thiago Oliveira, Miguel Varejao, Flavio, Rodrigues, Alexandre Loureiros

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  10. 10
    Reducing power companies billing costs via empirical bayes and seasonality remover

    Reducing power companies billing costs via empirical bayes and seasonality remover by Rodrigues, Alexandre, Martinuzzo, Lucas, Varejao, Flavio Miguel, Silva Souza, Vítor E., Oliveira-Santos, Thiago

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  11. 11
    One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps

    One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps by Baptista, Gabriel Soares, Mello, Lucas Henrique Sousa, Oliveira-Santos, Thiago, Varejao, Flavio Miguel, Ribeiro, Marcos Pellegrini, Rodrigues, Alexandre Loureiros

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  12. 12
    A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps

    A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps by Monjardim, Gustavo Epichin, Rodrigues, Alexandre, Varejao, Flavio Miguel, Silva Souza, Vitor E., Ribeiro, Marcos Pellegrini

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  13. 13
    Electricity Readers Routing Based on Clustering and Communities Detection

    Electricity Readers Routing Based on Clustering and Communities Detection by Batista, Lucas Martinuzzo, Lucchil, Diego, Varejaol, Flavio Miguel, Rodngues, Alexandre, Lima, Filipe, Oliveira-Santos, Thiago

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  14. 14
    Data-driven fault diagnosis of oil rig motor pumps applying automatic definition and selection of features

    Data-driven fault diagnosis of oil rig motor pumps applying automatic definition and selection of features by Wandekokem, E.D., de Aquino Franzosi, F.T., Rauber, T.W., Varejao, F.M., Batista, R.J.

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  15. 15
    Monthly energy consumption forecast: A deep learning approach

    Monthly energy consumption forecast: A deep learning approach by Berriel, Rodrigo F., Teixeira Lopes, Andre, Rodrigues, Alexandre, Varejao, Flavio Miguel, Oliveira-Santos, Thiago

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  16. 16
    Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection

    Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection by Monteiro, Nilo Garcia, Peixoto da Silva, Luciano Henrique, Rodrigues, Alexandre Loureiros, Miguel Varejao, Flavio, Ribeiro, Marcos Pellegrini, Oliveira-Santos, Thiago

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  17. 17
    A Genetic Algorithm Approach for Clustering Large Data Sets

    A Genetic Algorithm Approach for Clustering Large Data Sets by Luchi, Diego, Rodrigues, Alexandre, Varejao, Flavio Miguel, Santos, Willian

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