Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. - Gonzalo Tapia; Matias Salinas; Jaime Plaza; Diego Mellado; Rodrigo Salas 001; Carolina Saavedra; Alejandro Veloz; Alexis Arriola; Juan Idiaquez; Antonio Glaría (BIOSIGNALS, 2017)

Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning. - Diego Mellado; Carolina Saavedra; Stéren Chabert; Romina Torres; Rodrigo Salas 001 (Algorithms, 2019)

Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. - Jonathan Ugalde; Eduardo Godoy; Diego Mellado; Eduardo Cavieres; Bastian Carvajal; Carlos Fernández; Pamela Illescas; Rodrigo H. Avaria; Claudia Díaz; Rodrigo Ferreira; Marvin Querales; Scarlett Lever; et al. (HCI (47), 2023)

A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. - Diego Mellado; Marvin Querales; Julio Sotelo; Eduardo Godoy; Fabian Pardo; Scarlett Lever; Stéren Chabert; Rodrigo Salas 001 (SIPAIM, 2023)

An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition. - Ana Isabel Aguilera; Diego Mellado; Felipe Rojas (Sensors, 2023)

Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation. - Leondry Mayeta-Revilla; Eduardo Cavieres; Matias Salinas; Diego Mellado; Sebastian Ponce; Francisco Torres Moyano; Stéren Chabert; Marvin Querales; Julio Sotelo; Rodrigo Salas 001 (Frontiers Neuroinformatics, 2025)