![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
"Adversarial Learning From Imbalanced Data: A Robust Industrial Fault ..."
Zhenqin Yin et al. (2024)
- Zhenqin Yin
, Xinmin Zhang
, Zhihuan Song
, Zhiqiang Ge
:
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method. IEEE Trans. Inf. Forensics Secur. 19: 1870-1882 (2024)
![](https://dblp.org/img/cog.dark.24x24.png)
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.