An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders. - Josefa Díaz Álvarez; Jordi A. Matias-Guiu; María Nieves Cabrera-Martín; José L. Risco-Martín; José L. Ayala (BMC Bioinform., 2019)

GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms. - Fernando García-Gutierrez; Josefa Díaz Álvarez; Jordi A. Matias-Guiu; Vanesa Pytel; Jorge Matías-Guiu; María Nieves Cabrera-Martín; José L. Ayala (Medical Biol. Eng. Comput., 2022)

Speech pause distribution as an early marker for Alzheimer's disease. - Patricia Pastoriza-Domínguez; Iván González Torre; Faustino Diéguez-Vide; Isabel Gómez-Ruiz; Sandra Geladó; Joan Bello-López; Asunción Ávila-Rivera; Jordi A. Matias-Guiu; Vanesa Pytel; Antoni Hernández-Fernández (Speech Commun., 2022)

Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI. - Fernando García-Gutierrez; Laura Hernandez-Lorenzo; María Nieves Cabrera-Martín; Jordi A. Matias-Guiu; José L. Ayala (NeuroImage, 2024)