Generative anomaly detection: a comprehensive review of modeling principles, advances, and future opportunities.
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| Title: | Generative anomaly detection: a comprehensive review of modeling principles, advances, and future opportunities. |
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| Authors: | Zhu, Jiaqi1, jiaqi_zhu@bit.edu.cn, Fan, Yunfeng2, yunfeng.fan@connect.polyu.hk, Han, Geng1, 3120215446@bit.edu.cn, Shi, Xiang3, shi-xiang@tsinghua.edu.cn, Deng, Fang1, dengfang@bit.edu.cn, Chen, Jie1,4, chenjie@bit.edu.cn |
| Source: | Artificial Intelligence Review; Sep2026, Vol. 59 Issue 9, p1-74, 74p |
| Database: | Applied Science & Technology Source |
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