"Data Augment in Imbalanced Learning Based on Generative Adversarial Networks."

Zhuocheng Zhou et al. (2019)

> Home

Details and statistics

DOI: 10.1007/978-3-030-36808-1_3

access: closed

type: Conference or Workshop Paper

metadata version: 2020-01-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iconip/ZhouZLSC19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iconip/ZhouZLSC19
Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang:
Data Augment in Imbalanced Learning Based on Generative Adversarial Networks. ICONIP (4) 2019: 21-30

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.