Change Detection Methods for Images Captured by Stationary Camera's. - Aya Elouali; Sandra Amador; Higinio Mora Mora; Francisco José Mora-Gimeno (UCAmI, 2022)

Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder. - María del Mar Guillén; Sandra Amador; Jesús Peral; David Gil; Aya Elouali (UCAmI, 2022)

Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats. - Ángel Lloret; Juan Carlos Valera; David Gil; Jesús Peral; Antonio Ferrández; Sandra Amador (UCAmI, 2022)

Novel Distributed Informatics Platform to Support Machine Learning Discovery of Metabolic Biomarkers in Hypoxia Predisposition. - Anthony Stell; Vedant Chauhan; Sandra Amador; Felix Beuschlein; Judith Favier; David Gil; Philip Greenwood; Ronald de Krijger; Matthias Kroiss; Samanta Ortuno; Attila Patocs; Axel Walch (HEALTHINF, 2023)

Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review. - Sandra Amador; José Perona; Claudia Villalonga; Jorge Azorin; Oresti Banos; David Gil (IWANN (2), 2023)

Meta-Learning on Clinical Data for Diagnosis Support Systems: A Systematic Review. - Sandra Amador; Higinio Mora; David Gil; Tamai Ramírez-Gordillo (RIIFORUM, 2023)

Human-Centric Solutions and AI in the Smart City Context: The Industry 5.0 Perspective. - Tamai Ramírez-Gordillo; Higinio Mora; Antonio Maciá-Lillo; Sandra Amador; David Gil (RIIFORUM, 2023)

Meta-learning. An Approach Applied to Clinical Data. - Sandra Amador; Kelly Turbay; Alicia Montoro; Macarena Espinilla; Higinio Mora; David Gil (UCAmI (2), 2023)

Federated Learning for Industry 5.0: A State-of-the-Art Review. - Tamai Ramírez; Eduardo Calabuig-Barbero; Higinio Mora; Francisco A. Pujol; Sandra Amador (UCAmI (3), 2023)

Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review. - Oresti Banos; Zhoe Comas-Gonzalez; Javier Medina 001; Aurora Polo Rodríguez; David Gil; Jesús Peral; Sandra Amador; Claudia Villalonga (Int. J. Medical Informatics, 2024)