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2020 – today
- 2023
[c1]Donatello Elia
, Sonia Scardigno, Jorge Ejarque, Alessandro D'Anca, Gabriele Accarino, Enrico Scoccimarro, Davide Donno, Daniele Peano, Francesco Immorlano, Giovanni Aloisio:
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning. SC Workshops 2023: 2042-2052- [i2]Gabriele Accarino, Davide Donno, Francesco Immorlano, Donatello Elia, Giovanni Aloisio:
An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data. CoRR abs/2306.07291 (2023) - [i1]Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine:
Transferring climate change knowledge. CoRR abs/2309.14780 (2023) - 2021
- [j2]Gabriele Accarino, Marco Chiarelli, Sandro Fiore, Ivan Federico, Salvatore Causio, Giovanni Coppini, Giovanni Aloisio:
A multi-model architecture based on Long Short-Term Memory neural networks for multi-step sea level forecasting. Future Gener. Comput. Syst. 124: 1-9 (2021) - [j1]Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato, Giovanni Aloisio:
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. Informatics 8(3): 57 (2021)
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