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"yProv4ML: Effortless provenance tracking for machine learning systems."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Gabriele Padovani, Valentine Anantharaj, Sandro Fiore (2025)

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DOI: 10.1016/J.SOFTX.2025.102298

access: open

type: Journal Article

metadata version: 2025-10-14

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  dblp key:
  - journals/softx/PadovaniAF25
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  persistent URL:
  - https://dblp.org/rec/journals/softx/PadovaniAF25
Gabriele Padovani, Valentine Anantharaj, Sandro Fiore:
yProv4ML: Effortless provenance tracking for machine learning systems. SoftwareX 31: 102298 (2025)

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.