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)

Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis. - Antonio Jesús Chaves; Cristian Martín 002; Luis Llopis; Manuel Díaz; Rocío Ruiz-Mata; Enrique de Gálvez-Montañez; Marta Recio; María del Mar Trigo; Antonio Picornell (Earth Sci. Informatics, 2024)