Limits of Compartmental Models and New Opportunities for Machine Learning: A Case Study to Forecast the Second Wave of COVID-19 Hospitalizations in Lombardy, Italy. - Andrea Gatto; Gabriele Accarino; Valeria Aloisi; Francesco Immorlano; Francesco Donato; Giovanni Aloisio (Informatics, 2021)

End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning. - Donatello Elia; Sonia Scardigno; Jorge Ejarque; Alessandro D'Anca; Gabriele Accarino; Enrico Scoccimarro; Davide Donno; Daniele Peano; Francesco Immorlano; Giovanni Aloisio (SC Workshops, 2023)

An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data. - Gabriele Accarino; Davide Donno; Francesco Immorlano; Donatello Elia; Giovanni Aloisio (CoRR, 2023)

Transferring climate change knowledge. - Francesco Immorlano; Veronika Eyring; Thomas le Monnier de Gouville; Gabriele Accarino; Donatello Elia; Giovanni Aloisio; Pierre Gentine (CoRR, 2023)