Laying Foundations to Quantify the “Effort of Reproducibility”
Author:
Affiliation:
1. Northern Illinois University,Dekalb,Illinois,USA
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265862/10265863/10266070.pdf?arnumber=10266070
Reference25 articles.
1. Research Reproducibility as a Survival Analysis
2. A step toward quantifying independently reproducible machine learning research;raff;Advances in neural information processing systems,2019
3. Sustainable computational science: the ReScience initiative
4. A Synthetic Prediction Market for Estimating Confidence in Published Work
5. Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program);pineau;The Journal of Machine Learning Research,2021
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1. SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papers;Proceedings of the 2nd ACM Conference on Reproducibility and Replicability;2024-06-18
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