Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection.

Youngeun Nam|Susik Yoon|Yooju Shin|Minyoung Bae|Hwanjun Song|Jae-Gil Lee|Byung Suk Lee


Anthology ID:DBLP:conf/www/NamYSBS0024
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:4204-4215
URL:https://doi.org/10.1145/3589334.3645556
DOI:https://doi.org/10.1145/3589334.3645556
DBLP:conf/www/NamYSBS0024
BibTeX:
@inproceedings{nam-2024-breaking, author = {Youngeun Nam and Susik Yoon and Yooju Shin and Minyoung Bae and Hwanjun Song and Jae-Gil Lee and Byung Suk Lee}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {4204--4215}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645556}, doi = {https://doi.org/10.1145/3589334.3645556} }