Noisy label learning for security defects-Reference-Cited by-同舟云学术

Noisy label learning for security defects

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Mining Software Repositories
language:
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Author:

Croft Roland¹,Babar M. Ali¹,Chen Huaming¹

Affiliation:

1. The University of Adelaide, Adelaide, Australia

Funder

Cyber Security Cooperative Research Centre

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524842.3528446

Reference76 articles.

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4. Learning from positive and unlabeled data: a survey

5. Class noise detection based on software metrics and ROC curves

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