17 citations · 21 across the 5 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…
q-bio.OT2020
Recommendations to enhance rigor and reproducibility in biomedical research
Jaqueline J. Brito, Jun Li, Jason H. Moore +4
Computational methods have reshaped the landscape of modern biology. While the biomedical community is increasingly dependent on computational tools, the mechanisms ensuring open d…