Listar por autor "Fernández-Leal, Ángel"
Mostrando ítems 1-4 de 4
-
A knowledge model for the development of a framework for hypnogram construction
Fernández-Leal, Ángel; Cabrero-Canosa, Mariano; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Elsevier BV, 2017-02-15)[Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and electrophysiological signals. Throughout the twentieth ... -
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
Mosqueira-Rey, E.; Hernández-Pereira, Elena; Bobes-Bascarán, José; Alonso Ríos, David; Pérez-Sánchez, Alberto; Fernández-Leal, Ángel; Moret-Bonillo, Vicente; Vidal-Ínsua, Yolanda; Vázquez-Rivera, Francisca (Springer Nature, 2023-11)[Abstract]: Any machine learning (ML) model is highly dependent on the data it uses for learning, and this is even more important in the case of deep learning models. The problem is a data bottleneck, i.e. the difficulty ... -
Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome
Moret-Bonillo, Vicente; Álvarez-Estévez, Diego; Fernández-Leal, Ángel; Hernández-Pereira, Elena (Bentham Open, 2014-06-13)This work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in ... -
Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment
Bobes-Bascarán, José; Fernández-Leal, Ángel; Mosqueira-Rey, E.; Alonso Ríos, David; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] The increasing adoption of artificial intelligent systems at sensitive domains where humans are particularly, such as medicine, has provided the context to deeply explore ways of making machine learning models ...