1 citations · 1 across the 2 of their papers we have counts for
3 papers
yProv4DV: Reproducible Data Visualization Scripts Out of the Box
Gabriele Padovani, Sandro Fiore
While results visualization is a critical phase to the communication of new academic results, plots are frequently shared without the complete combination of code, input data, exec…
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems
Gabriele Padovani, Valentine Anantharaj, Sandro Fiore
The rapid growth of interest in large language models (LLMs) reflects their potential for flexibility and generalization, and attracted the attention of a diverse range of research…
Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings
Nicola Giuseppe Marchioro, Yannis Velegrakis, Valentine Anantharaj +2
Ensuring the trustworthiness and long-term verifiability of scientific data is a foundational challenge in the era of data-intensive, collaborative research. Provenance metadata pl…