A multi-model architecture based on Long Short-Term Memory neural networks for multi-step sea level forecasting. - Gabriele Accarino; Marco Chiarelli; Sandro Fiore; Ivan Federico; Salvatore Causio; Giovanni Coppini; Giovanni Aloisio (Future Gener. Comput. Syst., 2021)

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)

Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study. - Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Sakina-Dorothée Ayata; Amanda Calatrava; Marco M. De Carlo; Decrop Wout; Donatello Elia; Sandro Fiore; Marco Francescangeli; et al. (Ecol. Informatics, 2025)

Improving Oil Slick Trajectory Simulations with Bayesian Optimization. - Gabriele Accarino; Marco M. De Carlo; Igor Atake; Donatello Elia; Anusha L. Dissanayake; Antonio Augusto Sepp Neves; Juan Peña Ibañez; Italo Epicoco; Paola Nassisi; Sandro Fiore; Giovanni Coppini (CoRR, 2025)