Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances. - Pablo Ferri Borreda; Carlos Sáez; Juan Miguel García-Gómez (CBMS, 2017)

Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch. - Pablo Ferri Borreda; Carlos Sáez; Antonio Felix de Castro; Javier Juan-Albarracín; Vicent Blanes-Selva; Purificación Sánchez-Cuesta; Juan M. García-Gómez (Artif. Intell. Medicine, 2021)

Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations. - Pablo Ferri Borreda; Carlos Sáez; Antonio Felix de Castro; Purificación Sánchez-Cuesta; Juan M. García-Gómez (MIE, 2022)

Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. - Pablo Ferri Borreda; Nekane Romero-Garcia; Rafael Badenes; David Lora-Pablos; Teresa García Morales; Agustín Gómez De La Camara; Juan M. García-Gómez; Carlos Sáez (Comput. Methods Programs Biomed., 2023)

Deep continual learning for medical call incidents text classification under the presence of dataset shifts. - Pablo Ferri; Vincenzo Lomonaco; Lucia C. Passaro; Antonio Felix de Castro; Purificación Sánchez-Cuesta; Carlos Sáez; Juan M. García-Gómez (Comput. Biol. Medicine, 2024)

Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation. - F. Javier Gil-Terrón; Pablo Ferri; Víctor Montosa-i-Micó; María Gómez Mahiques; Carles Lopez-Mateu; Pau Martí; Juan M. García-Gómez; Elies Fuster-García (Int. J. Medical Informatics, 2024)

Towards proactive self-adaptive AI for non-stationary environments with dataset shifts. - David Fernández Narro; Pablo Ferri; Juan M. García-Gómez; Carlos Sáez (CoRR, 2025)