Deep Learning Methods for Daily Wildfire Danger Forecasting. - Ioannis Prapas; Spyros Kondylatos; Ioannis Papoutsis; Gustau Camps-Valls; Michele Ronco; Miguel-Ángel Fernández-Torres; Maria Piles Guillem; Nuno Carvalhais (CoRR, 2021)

In Vacuo Dispersion-Like Spectral Lags in Gamma-Ray Bursts. - Giovanni Amelino-Camelia; Giacomo D'Amico; Fabrizio Fiore; Simonetta Puccetti; Michele Ronco (Symmetry, 2021)

Exploring interactions between socioeconomic context and natural hazards on human population displacement. - Michele Ronco; José María Tárraga; Jordi Muñoz-Marí; Maria Piles; Eva Sevillano Marco; Qiang Wang; Maria Teresa Miranda Espinosa; Sylvain Ponserre; Gustau Camps-Valls (Zenodo, 2023)

Role of locality, fidelity and symmetry regularization in learning explainable representations. - Michele Ronco; Gustau Camps-Valls (Neurocomputing, 2023)

A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling. - Mélissande Machefer; Michele Ronco; Anne-Claire Thomas; Michael Assouline; Melanie Rabier; Christina Corbane; Felix Rembold (CoRR, 2025)