Transparency and reproducibility in artificial intelligence

scientific article published on 14 October 2020

Transparency and reproducibility in artificial intelligence is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID2003.00898
P356DOI10.1038/S41586-020-2766-Y
P698PubMed publication ID33057217

P50authorJohn QuackenbushQ6253638
Robert TibshiraniQ3938444
John IoannidisQ6251482
Alvis BrazmaQ29840681
Michael M. HoffmanQ30503169
Wolfgang HuberQ37391155
Benjamin Haibe-KainsQ38639014
Casey S. GreeneQ41047284
Joëlle PineauQ44741969
Anshul KundajeQ51417778
P2093author name stringBo Wang
Levi Waldron
Trevor Hastie
Chris McIntosh
Jeffrey T Leek
Hugo J W L Aerts
Anna Goldenberg
Ahmed Hosny
Keegan Korthauer
Tamara Broderick
Farnoosh Khodakarami
George Alexandru Adam
Massive Analysis Quality Control (MAQC) Society Board of Directors
P2860cites workHemodynamically Significant Coronary Stenosis: Detection with CT Myocardial Perfusion Imaging versus Machine Learning Coronary CT Fractional Flow ReserveQ90255090
International evaluation of an AI system for breast cancer screeningQ92365657
Learning to detect the onset of slow activity after a generalized tonic-clonic seizureQ104567185
Enhancing reproducibility for computational methodsQ46114847
A curated mammography data set for use in computer-aided detection and diagnosis researchQ47136196
Artificial intelligence faces reproducibility crisisQ49959721
Reproducible research practices, transparency, and open access data in the biomedical literature, 2015-2017Q59793592
Toward unrestricted use of public genomic data:Q61014268
Exploration, Inference, and Prediction in Neuroscience and BiomedicineQ64114933
P433issue7829
P921main subjectartificial intelligenceQ11660
reproducibilityQ1425625
P304page(s)E14-E16
P577publication date2020-10-14
P1433published inNatureQ180445
P1476titleTransparency and reproducibility in artificial intelligence
P478volume586

Reverse relations

cites work (P2860)
Q100560281Addendum: International evaluation of an AI system for breast cancer screening
Q100560296Reply to: Transparency and reproducibility in artificial intelligence

Search more.