Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.
Haihong Zhao|Chenyi Zi|Yang Liu|Chen Zhang|Yan Zhou|Jia Li
| Anthology ID: | DBLP:conf/www/ZhaoZLZZL24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4083-4094 |
| URL: | https://doi.org/10.1145/3589334.3645429 |
| DOI: | https://doi.org/10.1145/3589334.3645429 |
| DBLP: | conf/www/ZhaoZLZZL24 |
| BibTeX: |
@inproceedings{zhao-2024-weakly,
author = {Haihong Zhao and
Chenyi Zi and
Yang Liu and
Chen Zhang and
Yan Zhou and
Jia Li},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Weakly Supervised Anomaly Detection via Knowledge-Data Alignment}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4083--4094},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645429},
doi = {https://doi.org/10.1145/3589334.3645429}
}