"NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly ..."

Hao Dong et al. (2023)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2311.11961

access: open

type: Informal or Other Publication

metadata version: 2024-09-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2311-11961
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2311-11961
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink:
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation. CoRR abs/2311.11961 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.