Capsule Neural Networks for structural damage localization and quantification using transmissibility data. - Joaquín Figueroa Barraza; Enrique López Droguett; Viviana Meruane Naranjo; Marcelo Ramos Martins (Appl. Soft Comput., 2020)

Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks. - Joaquín Figueroa Barraza; Enrique López Droguett; Marcelo Ramos Martins (Sensors, 2021)

SCF-Net: A sparse counterfactual generation network for interpretable fault diagnosis. - Joaquín Figueroa Barraza; Enrique López Droguett; Marcelo Ramos Martins (Reliab. Eng. Syst. Saf., 2024)

FS-SCF network: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. - Joaquín Figueroa Barraza; Enrique López Droguett; Marcelo Ramos Martins (Expert Syst. Appl., 2024)