Gabriele Padovani

According to our database, Gabriele Padovani authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

yProv4DV: Reproducible Data Visualization Scripts Out of the Box.

Gabriele Padovani, Sandro Fiore

CoRR, March, 2026

Carbon Intensity Forecasting with On-Site Renewables for Sustainable AI Workload Scheduling.

Matteo Zanotto, Gabriele Padovani, Giovanni Iacca, Sandro Fiore

Proceedings of the 2nd International Workshop on Systems and Methods for Sustainable Large-Scale AI (GreenSys), 2026

2025

yProv4ML: Effortless provenance tracking for machine learning systems.

Gabriele Padovani, Valentine Anantharaj, Sandro Fiore

SoftwareX, 2025

Climate Data IT: towards a National Data Hub for Climate Science.

Sandro Fiore, Paola Nassisi, Ludovica Sacco, Gabriele Padovani, Fabrizio Antonio, Donatello Elia, Italo Epicoco, Nicola Giuseppe Marchioro, Marco Robol, Konstantinos Zefkilis, Flavio Vella, Carolina Sopranzetti, Andrea Alessandri, Annalisa Cherchi, Franco Catalano, Gianmaria Sannino, Gabriella Scipione, Marco Puccini, Erika Coppola, Ivan Girotto, Marco Reale, Stefano Salon, Antonella Galizia, Marcello Iotti, Paolo Giorgini, Hilary J. Oliver, Valentine Anantharaj, Silvio Gualdi

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Provenance Tracking in Large-Scale Machine Learning Systems.

Gabriele Padovani, Valentine Anantharaj, Sandro Fiore

Proceedings of the Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications.

Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications.

Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore

Proceedings of the IGARSS 2024, 2024