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2020 – today
- 2024
[j4]Pablo Ferri
, Vincenzo Lomonaco, Lucia C. Passaro, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Carlos Sáez, Juan M. García-Gómez:
Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Comput. Biol. Medicine 175: 108548 (2024)- [j3]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:
Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation. Int. J. Medical Informatics 191: 105604 (2024) - 2023
- [j2]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:
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. Comput. Methods Programs Biomed. 242: 107803 (2023) - 2022
- [c2]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations. MIE 2022: 859-863 - 2021
- [j1]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Javier Juan-Albarracín, Vicent Blanes-Selva, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch. Artif. Intell. Medicine 117: 102088 (2021)
2010 – 2019
- 2017
- [c1]Pablo Ferri Borreda, Carlos Sáez, Juan Miguel García-Gómez:
Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances. CBMS 2017: 600-605
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