A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. - Marvin Querales; Rodrigo Salas 001; Yerel Morales; Héctor Allende-Cid; Harvey Rosas (Appl. Soft Comput., 2022)

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)

Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images. - Rodrigo Salas 001; Juan Sebastian Castro; Marvin Querales; Carolina Saavedra; Claudia Prieto; Stéren Chabert (CIARP (2), 2024)

Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis. - Mailyn Calderón-Díaz; Rony Silvestre Aguirre; Juan Pablo Vásconez; Roberto Yanez; Matías Roby; Marvin Querales; Rodrigo Salas 001 (Sensors, 2024)

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)