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]
@inproceedings{SamuelLK21,
title = {Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles},
author = {Sheeba Samuel and Frank Löffler 0001 and Birgitta König-Ries},
year = {2021},
doi = {10.1007/978-3-030-80960-7_17},
url = {https://doi.org/10.1007/978-3-030-80960-7_17},
researchr = {https://researchr.org/publication/SamuelLK21},
cites = {0},
citedby = {0},
pages = {226-230},
booktitle = {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},
editor = {Boris Glavic and Vanessa Braganholo and David Koop},
volume = {12839},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-80960-7},
}