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Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles

Sheeba Samuel, Frank Löffler 0001, Birgitta König-Ries. Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles. In Boris Glavic, Vanessa Braganholo, David Koop, editors, Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, Proceedings. Volume 12839 of Lecture Notes in Computer Science, pages 226-230, Springer, 2021. [doi]

Authors

Sheeba Samuel

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Frank Löffler 0001

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Birgitta König-Ries

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