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STAR-ML: A Rapid Screening Tool for Assessing...
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STAR-ML: A Rapid Screening Tool for Assessing Reporting of Machine Learning in Research

Abstract

Literature review provides researchers with an overview of the field and when presented as a systematic assessment, it summarizes state-of-the-art information and identifies knowledge gaps. While there are many tools for assessing quality and risk-of-bias within studies, there is currently no generalized tool for evaluating the transparency, reproducibility, and correctness of machine learning (ML) reporting in the literature. This study …

Authors

Khan A; Koh RGL; Hassan S; Liu T; Tucci V; Kumbhare D; Doyle TE

Volume

00

Pagination

pp. 336-341

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 20, 2022

DOI

10.1109/ccece49351.2022.9918312

Name of conference

2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)