Figueroa Barraza, J., 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 (Basel, Switzerland), 21(17), 5888. https://doi.org/10.3390/s21175888
Chicago Style (17th ed.) CitationFigueroa Barraza, Joaquín, Enrique López Droguett, and Marcelo Ramos Martins. "Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks." Sensors (Basel, Switzerland) 21, no. 17 (2021): 5888. https://doi.org/10.3390/s21175888.
MLA (9th ed.) CitationFigueroa Barraza, Joaquín, et al. "Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks." Sensors (Basel, Switzerland), vol. 21, no. 17, 2021, p. 5888, https://doi.org/10.3390/s21175888.