Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research-Reference-Cited by-同舟云学术

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Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Amith Muhammad¹^ORCID,Cui Licong²^ORCID,Roberts Kirk²^ORCID,Tao Cui³^ORCID

Affiliation:

1. Department of Information Science, University of North Texas, USA

2. School of Biomedical Informatics, The University of Texas Health Science Center at Houston, USA

3. School of Biomedical Informatics, University of Texas Health Science Center at Houston, USA

Funder

Cancer Prevention and Research Institute of Texas

National Institute on Aging

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587601

Reference16 articles.

1. Toward a standard formal semantic representation of the model card report

2. Tuan Amith and Cui Tao. 2021. Model Card Report Ontology. https://github.com/UTHealth-Ontology/MCRO

3. The Semantic Web

4. Google Inc.2021. Model Card Toolkit. https://github.com/tensorflow/model-card-toolkit

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