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Author

Gabriele Padovani

Observed names: G. Padovani, Padovani G., Padovani, Gabriele
Observed institution: University of Trento
ORCID: 0009-0002-3711-7643
Observed ORCID: 0009-0002-3711-7643
OpenAlex ID: A5094119452
yProv4ML: Effortless provenance tracking for machine learning systems
2025 · G. Padovani, V. Anantharaj, et al. · SoftwareX · 13
Provenance Tracking in Large-Scale Machine Learning Systems
2025 · Gabriele Padovani, Valentine Anantharaj, et al. · International Conference on Parallel Processing Workshops (ICPPW) · 7
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A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications
2024 · G. Padovani, V. Anantharaj, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 3
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yProv4DV: Filling the visualization gap in reproducible research workflows
2026 · G. Padovani, S. Fiore · SoftwareX · 2
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems
2025 · Padovani, Gabriele, Anantharaj, Valentine, et al. · arXiv (Cornell University) · 1
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MLOps+: Enhancing the MLOps lifecycle with traceable, explainable, and energy-aware Bayesian optimization
2026 · Marco De Carlo, Gabriele Padovani, et al. · Future Generation Computer Systems
End-to-End Provenance for Scientific Workflows with the yProv Ecosystem
2026 · Padovani, Gabriele, Fiore, Sandro, et al. · Zenodo (CERN European Organization for Nuclear Research)
Workflow Cards: Structured Summaries of Workflow Executions Using Provenance Data
2026 · Marchioro, Nicola Giuseppe, Padovani, Gabriele, et al. · arXiv (Cornell University)
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Carbon Intensity Forecasting with On-Site Renewables for Sustainable AI Workload Scheduling
2026 · Matteo Zanotto, Gabriele Padovani, et al.
A Deployment-Aware Multi-Objective Hyper-Parameter Optimization Framework for Machine Learning
2026 · Zanotto, Matteo, Padovani, Gabriele, et al. · Iris (University of Trento)
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Facilitating the development of Machine Learning-based Digital Twin applications for extreme weather events
2025 · Donatello Elia, Emanuele Donno, et al. · EGU General Assembly Conference Abstracts
Data efficiency: The master key for unlocking energy efficiency
2025 · Valentine Anantharaj, Takuya Kurihana, et al. · EGU General Assembly Conference Abstracts
Finetuning and Benchmarking an AI Foundation Model for Cloud Gap Imputation
2025 · Tadie Birihan Medimem, Gabriele Padovani, et al. · EGU General Assembly Conference Abstracts
Enabling Seamless Provenance Collection in Large-Scale Machine Learning Tasks
2025 · Sandro Fiore, Gabriele Padovani, et al. · EGU General Assembly Conference Abstracts
PrithviWxC Foundation Model Validation on Weather Downscaling for Cross Domain Learning
2025 · Gabriele Padovani, Ankur Kumar, et al. · EGU General Assembly Conference Abstracts
yProv: a Software Ecosystem for Multi-level Provenance Management and Exploration in Climate Workflows
2025 · Fabrizio Antonio, Gabriele Padovani, et al. · EGU General Assembly Conference Abstracts
Climate Data IT: Towards a National Data Hub for Climate Science
2025 · Fiore, Sandro, Sacco, Ludovica, et al. · Iris (University of Trento)
Climate Data IT: Towards a National Data Hub for Climate Science
2025 · Fiore S., Nassisi P., et al. · AIRUS
Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications
2024 · Valentine Anantharaj, Takuya Kurihana, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Pretraining a foundation model using MODIS observations of the earth’s atmosphere
2024 · Valentine Anantharaj, Takuya Kurihana, et al. · EGU General Assembly Conference Abstracts
Works count: 21
Citation count: 26
H-index: 3
I10-index: 1
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