Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers. - Sandro Hurtado; José García-Nieto; Ismael Navas-Delgado; Antonio J. Nebro; José Francisco Aldana Montes (Appl. Intell., 2021)

FIMED: Flexible management of biomedical data. - Sandro Hurtado; José García-Nieto; Ismael Navas-Delgado; José Francisco Aldana Montes (Comput. Methods Programs Biomed., 2021)

A Service for Flexible Management and Analysis of Heterogeneous Clinical Data. - Sandro Hurtado; José García-Nieto; Ismael Navas-Delgado (IWBBIO (1), 2022)

On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions. - Sandro Hurtado; Hossein Nematzadeh; José García-Nieto; Miguel Ángel Berciano Guerrero; Ismael Navas-Delgado (IWBBIO (1), 2022)

e-Science workflow: A semantic approach for airborne pollen prediction. - Sandro Hurtado; María Luisa Antequera-Gómez; Cristóbal Barba-González; Antonio Picornell; Ismael Navas-Delgado (Knowl. Based Syst., 2024)

A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study. - Antonio Picornell; Sandro Hurtado; María Luisa Antequera-Gómez; Cristóbal Barba-González; Rocío Ruiz-Mata; Enrique de Gálvez-Montañez; Marta Recio; María del Mar Trigo; José Francisco Aldana Montes; Ismael Navas-Delgado (Comput. Biol. Medicine, 2024)

Model-agnostic local explanation: Multi-objective genetic algorithm explainer. - Hossein Nematzadeh; José García-Nieto; Sandro Hurtado; José Francisco Aldana Montes; Ismael Navas-Delgado (Eng. Appl. Artif. Intell., 2025)