203 citations · 205 across the 6 of their papers we have counts for
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stat.AP2020
The importance of transparency and reproducibility in artificial intelligence research
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…
stat.AP2015★ 203 cited
Reproducible Research Can Still Be Wrong: Adopting a Prevention Approach
Jeffrey T. Leek, Roger D. Peng
Reproducibility, the ability to recompute results, and replicability, the chances other experimenters will achieve a consistent result, are two foundational characteristics of succ…