Deep Weakly-supervised Anomaly Detection-Reference-Cited by-同舟云学术

Deep Weakly-supervised Anomaly Detection

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Pang Guansong¹^ORCID,Shen Chunhua²^ORCID,Jin Huidong³^ORCID,van den Hengel Anton⁴^ORCID

Affiliation:

1. Singapore Management University, Singapore, Singapore

2. Zhejiang University, Hangzhou, China

3. Data61, Canberra, Australia

4. University of Adelaide, Adelaide, SA, Australia

Funder

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599302

Reference70 articles.

1. Charu C Aggarwal . 2017. Outlier analysis . Springer . Charu C Aggarwal. 2017. Outlier analysis. Springer.

2. Learning from positive and unlabeled data: a survey

3. Kendrick Boyd , Kevin H Eng, and C David Page . 2013 . Area under the precision-recall curve: point estimates and confidence intervals. In ECML/PKDD. Springer , 451--466. Kendrick Boyd, Kevin H Eng, and C David Page. 2013. Area under the precision-recall curve: point estimates and confidence intervals. In ECML/PKDD. Springer, 451--466.

4. Anomaly detection

5. Weakly Supervised Anomaly Detection Based on Two-Step Cyclic Iterative PU Learning Strategy

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