ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility-Reference-Cited by-同舟云学术

ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

Published:2021 Issue: Volume: Page:3-11
ISSN:0302-9743
Container-title:Reproducible Research in Pattern Recognition
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Author:

Yildiz Burak^ORCID,Hung Hayley,Krijthe Jesse H.^ORCID,Liem Cynthia C. S.^ORCID,Loog Marco^ORCID,Migut Gosia,Oliehoek Frans A.^ORCID,Panichella Annibale^ORCID,Pawełczak Przemysław^ORCID,Picek Stjepan^ORCID,de Weerdt Mathijs^ORCID,van Gemert Jan^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76423-4_1

Reference30 articles.

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2. Bonneel, N., Coeurjolly, D., Digne, J., Mellado, N.: Code replicability in computer graphics. ACM Trans. Graph. 39(4) (2020)

3. Lecture Notes in Computer Science;M Colom,2019

4. Colom, M., Kerautret, B., Limare, N., Monasse, P., Morel, J.M.: IPOL: a new journal for fully reproducible research; analysis of four years development. In: 2015 7th International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5. IEEE (2015)

5. Cornell University Library: arxiv. https://arxiv.org, September 2011. Accessed 20 June 2020

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