A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer's Disease. - Santos Bringas; Sergio Salomón; Rafael Duque; José Luis Montaña; Carmen Lage (UCAmI, 2019)

Alzheimer's Disease stage identification using deep learning models. - Santos Bringas; Sergio Salomón; Rafael Duque; Carmen Lage; José Luis Montaña (J. Biomed. Informatics, 2020)

Active Learning based on Electronic Focus Groups and Participatory Design during the COVID-19 period. - Rafael Duque; Santos Bringas; José Luis Montaña (TEEM, 2021)

Development of a Quantitative Tool Based on Deep Learning for Automatic Apraxia Detection (DLAAD). - Santos Bringas; Rafael Duque; José Luis Montaña; Carmen Lage (UCAmI, 2022)

Wildlife Species Recognition Using Deep Learning. - Sergio Salomón; Santos Bringas; Rafael Duque; José L. Montaña; Avelino J. Gonzalez (SMC, 2023)

Automatic apraxia detection using deep convolutional neural networks and similarity methods. - Cristina Vicedo; Alicia Nieto-Reyes; Santos Bringas; Rafael Duque; Carmen Lage; José Luis Montaña (Mach. Vis. Appl., 2023)

Leveraging a visual language for the awareness-based design of interaction requirements in digital twins. - Rafael Duque; Crescencio Bravo; Santos Bringas; Daniel Postigo (Future Gener. Comput. Syst., 2024)

CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification Using Accelerometer Data. - Santos Bringas; Rafael Duque; Carmen Lage; José Luis Montaña (IEEE J. Biomed. Health Informatics, 2024)

Quality-in-Use in Practice: A Study for Context-Aware Software Systems in Pervasive Environments. - Sergio Salomón; Rafael Duque; Santos Bringas; Káthia Marçal de Oliveira (J. Softw. Evol. Process., 2025)