"Evaluating AI systems under uncertain ground truth: a case study in ..."

David Stutz et al. (2023)

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DOI: 10.48550/ARXIV.2307.02191

access: open

type: Informal or Other Publication

metadata version: 2024-03-25

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  - journals/corr/abs-2307-02191
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  - https://dblp.org/rec/journals/corr/abs-2307-02191
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023)

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