Gabriele Accarino

According to our database, Gabriele Accarino authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Wavelet Flow Matching for Multi-Scale Physics Emulation.

Gabriele Accarino, Juan Nathaniel, Carla Roesch, Pierre Gentine, Sara Shamekh, Duncan Watson-Parris, Viviana Acquaviva

CoRR, May, 2026

OpFML: Pipeline for ML-based Operational Forecasting.

Shahbaz Alvi, Giusy Fedele, Gabriele Accarino, Italo Epicoco, Ilenia Manco, Pasquale Schiano

CoRR, January, 2026

ByteStorm: A multi-step data-driven approach for Tropical Cyclones detection and tracking.

Davide Donno, Donatello Elia, Gabriele Accarino, Marco M. De Carlo, Enrico Scoccimarro, Silvio Gualdi

Comput. Geosci., 2026

interTwin: Advancing Scientific Digital Twins through AI, Federated Computing and Data.

Andrea Manzi, Raul Bardaji, Ivan Rodero, Germán Moltó, Sandro Fiore, Isabel Campos Plasencia, Donatello Elia, Francesco Sarandrea, A. Paul Millar, Daniele Spiga, Matteo Bunino, Gabriele Accarino, Lorenzo Asprea, Samuel Bernardo, Miguel Caballer, Charis Chatzikyriakou, Diego Ciangottini, Michele Claus, Andrea Cristofori, Davide Donno, Emanuele Donno, Iacopo Ferrario, Massimiliano Fronza, Alexander W. Jacob, Javad Komijani, Marina Krstic Marinkovic, Federica Legger, Ivan Palomo, Estíbaliz Parcero, Rakesh Sarma, Gaurav Sinha Ray, Sara Vallero, Juraj Zvolensky

Future Gener. Comput. Syst., 2026

2025

WaveSim: A Wavelet-based Multi-scale Similarity Metric for Weather and Climate Fields.

Gabriele Accarino, Viviana Acquaviva, Sara Shamekh, Duncan Watson-Parris, David Lawrence

CoRR, December, 2025

MedFormer: a data-driven model for forecasting the Mediterranean Sea.

Italo Epicoco, Davide Donno, Gabriele Accarino, Simone Norberti, Alessandro Grandi, Michele Giurato, Ronan McAdam, Donatello Elia, Emanuela Clementi, Paola Nassisi, Enrico Scoccimarro, Giovanni Coppini, Silvio Gualdi, Giovanni Aloisio, Simona Masina, Giulio Boccaletti, Antonio Navarra

CoRR, September, 2025

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, Jean-Olivier Irisson, Rune Lagaisse, Martin Laviale, Antoine Lebeaud, Carolin Leluschko, Enoc Martínez, Germán Moltó, Igor Atake, Antonio Augusto Sepp Neves, Damian Smyth, Jesús Soriano-González, Muhammad Arabi Tayyab, Vanessa Tosello, Álvaro López García, Dick Schaap, Gergely Sipos

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

Ecol. Informatics, 2025

2023

Transferring climate change knowledge.

Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine

CoRR, 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

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

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