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Filtros : "MARTINS, MARCELO RAMOS" "REDES NEURAIS" Limpar

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  • Artigo de periodico

    FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis (2024)

    Figueroa Barraza, Joaquín Eduardo ; López Droguett, Enrique Andrés ; Martins, Marcelo Ramos

    Source: Expert systems with applications. Unidade: EP

    Subjects: REDES NEURAIS, FALHAS COMPUTACIONAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS

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    • ABNT

      FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique Andrés e MARTINS, Marcelo Ramos. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, v. 237, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.121670. Acesso em: 14 nov. 2025.

    • APA

      Figueroa Barraza, J. E., López Droguett, E. A., & Martins, M. R. (2024). FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, 237, 1-16. doi:10.1016/j.eswa.2023.121670

    • NLM

      Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670

    • Vancouver

      Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670

  • Artigo de periodico

    SCF-Net: a sparse counterfactual generation network for interpretable fault diagnosis (2024)

    Figueroa Barraza, Joaquín Eduardo ; López Droguett, Enrique Andrés ; Martins, Marcelo Ramos

    Source: Reliability engineering & systems safety. Unidade: EP

    Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, FALHAS COMPUTACIONAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS

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    • ABNT

      FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique Andrés e MARTINS, Marcelo Ramos. SCF-Net: a sparse counterfactual generation network for interpretable fault diagnosis. Reliability engineering & systems safety, v. 250, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2024.110285. Acesso em: 14 nov. 2025.

    • APA

      Figueroa Barraza, J. E., López Droguett, E. A., & Martins, M. R. (2024). SCF-Net: a sparse counterfactual generation network for interpretable fault diagnosis. Reliability engineering & systems safety, 250, 1-11. doi:10.1016/j.ress.2024.110285

    • NLM

      Figueroa Barraza JE, López Droguett EA, Martins MR. SCF-Net: a sparse counterfactual generation network for interpretable fault diagnosis [Internet]. Reliability engineering & systems safety. 2024 ; 250 1-11.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.ress.2024.110285

    • Vancouver

      Figueroa Barraza JE, López Droguett EA, Martins MR. SCF-Net: a sparse counterfactual generation network for interpretable fault diagnosis [Internet]. Reliability engineering & systems safety. 2024 ; 250 1-11.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.ress.2024.110285

  • Artigo de periodico

    Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks (2021)

    Figueroa Barraza, Joaquín Eduardo ; López Droguett, Enrique ; Martins, Marcelo Ramos

    Source: Sensors. Unidade: EP

    Subjects: REDES NEURAIS, ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL, PROGNÓSTICO, DIAGNÓSTICO

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    • ABNT

      FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique e MARTINS, Marcelo Ramos. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks. Sensors, v. 21, n. 17, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21175888. Acesso em: 14 nov. 2025.

    • APA

      Figueroa Barraza, J. E., López Droguett, E., & Martins, M. R. (2021). Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks. Sensors, 21( 17), 1-30. doi:10.3390/s21175888

    • NLM

      Figueroa Barraza JE, López Droguett E, Martins MR. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks [Internet]. Sensors. 2021 ; 21( 17): 1-30.[citado 2025 nov. 14 ] Available from: https://doi.org/10.3390/s21175888

    • Vancouver

      Figueroa Barraza JE, López Droguett E, Martins MR. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks [Internet]. Sensors. 2021 ; 21( 17): 1-30.[citado 2025 nov. 14 ] Available from: https://doi.org/10.3390/s21175888

  • Trabalho de evento

    Bayesian networks on risk analysis of a regasification system on an offshore unit (2011)

    Schleder, Adriana Miralles; Martins, Marcelo Ramos ; Souza, Gilberto Francisco Martha de

    Source: OMAE 2011 : proceedings. Conference titles: International Conference on Ocean, Offshore and Arctic Engineering. Unidade: EP

    Subjects: REDES NEURAIS, ESTRUTURAS OFFSHORE, ANÁLISE DE RISCO, TERMINAIS MARÍTIMOS

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      SCHLEDER, Adriana Miralles e MARTINS, Marcelo Ramos e SOUZA, Gilberto Francisco Martha de. Bayesian networks on risk analysis of a regasification system on an offshore unit. 2011, Anais.. New York: Asme, 2011. Disponível em: https://repositorio.usp.br/directbitstream/66e238bb-42b3-4a2a-ab8c-fdb519bb068d/Martins_MR-2011-bayesian%20networks%20on%20risk%20analysis-OMAE.pdf. Acesso em: 14 nov. 2025.

    • APA

      Schleder, A. M., Martins, M. R., & Souza, G. F. M. de. (2011). Bayesian networks on risk analysis of a regasification system on an offshore unit. In OMAE 2011 : proceedings. New York: Asme. Recuperado de https://repositorio.usp.br/directbitstream/66e238bb-42b3-4a2a-ab8c-fdb519bb068d/Martins_MR-2011-bayesian%20networks%20on%20risk%20analysis-OMAE.pdf

    • NLM

      Schleder AM, Martins MR, Souza GFM de. Bayesian networks on risk analysis of a regasification system on an offshore unit [Internet]. OMAE 2011 : proceedings. 2011 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/66e238bb-42b3-4a2a-ab8c-fdb519bb068d/Martins_MR-2011-bayesian%20networks%20on%20risk%20analysis-OMAE.pdf

    • Vancouver

      Schleder AM, Martins MR, Souza GFM de. Bayesian networks on risk analysis of a regasification system on an offshore unit [Internet]. OMAE 2011 : proceedings. 2011 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/66e238bb-42b3-4a2a-ab8c-fdb519bb068d/Martins_MR-2011-bayesian%20networks%20on%20risk%20analysis-OMAE.pdf

  • Trabalho de evento

    The bayesian networks applied to a steering gear system fault diagnostics (2010)

    Martins, Marcelo Ramos ; Silva, Daniel F; Maruyama, Fábio M; Loriggio, Fábio F; Pedro, Marcelo F; Varela, Marcelo

    Source: OMAE 2010 : proceedings. Conference titles: International Conference on Ocean, Offshore and Arctic Engineering. Unidade: EP

    Subjects: REDES NEURAIS, FALHAS COMPUTACIONAIS, REDES DE PETRI

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    • ABNT

      MARTINS, Marcelo Ramos et al. The bayesian networks applied to a steering gear system fault diagnostics. 2010, Anais.. New York: Asme, 2010. Disponível em: https://repositorio.usp.br/directbitstream/e288d63a-24bc-4ea4-a115-d0cba4dceb73/Martins_M-2010-The%20bayesian%20networks%20applied%20to%20a%20steering%20ok.pdf. Acesso em: 14 nov. 2025.

    • APA

      Martins, M. R., Silva, D. F., Maruyama, F. M., Loriggio, F. F., Pedro, M. F., & Varela, M. (2010). The bayesian networks applied to a steering gear system fault diagnostics. In OMAE 2010 : proceedings. New York: Asme. Recuperado de https://repositorio.usp.br/directbitstream/e288d63a-24bc-4ea4-a115-d0cba4dceb73/Martins_M-2010-The%20bayesian%20networks%20applied%20to%20a%20steering%20ok.pdf

    • NLM

      Martins MR, Silva DF, Maruyama FM, Loriggio FF, Pedro MF, Varela M. The bayesian networks applied to a steering gear system fault diagnostics [Internet]. OMAE 2010 : proceedings. 2010 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/e288d63a-24bc-4ea4-a115-d0cba4dceb73/Martins_M-2010-The%20bayesian%20networks%20applied%20to%20a%20steering%20ok.pdf

    • Vancouver

      Martins MR, Silva DF, Maruyama FM, Loriggio FF, Pedro MF, Varela M. The bayesian networks applied to a steering gear system fault diagnostics [Internet]. OMAE 2010 : proceedings. 2010 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/e288d63a-24bc-4ea4-a115-d0cba4dceb73/Martins_M-2010-The%20bayesian%20networks%20applied%20to%20a%20steering%20ok.pdf
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