{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:58:20Z","timestamp":1763193500835,"version":"3.45.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228205","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["Saliency Time-Series Anomaly Detection Service for AIOps"],"prefix":"10.1109","author":[{"given":"Lisa","family":"Zhang","sequence":"first","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibo","family":"Huang","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojun","family":"Sun","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiyu","family":"Wang","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoshuo","family":"Wang","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenpeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyong","family":"Jiang","sequence":"additional","affiliation":[{"name":"China Mobile (Suzhou) Software Technology Company Limited,Suzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3483424"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-Companion.2019.00023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2015.07.474"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2079296.2079309"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1330107.1330146"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2935975"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335437"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"article-title":"Anomalybert: Self-supervised transformer for time series anomaly detection using data degradation scheme","year":"2023","author":"Jeong","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109546"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462944"},{"article-title":"Large language model guided knowledge distillation for time series anomaly detection","year":"2024","author":"Liu","key":"ref16"},{"article-title":"Can llms serve as time series anomaly detectors?","year":"2024","author":"Dong","key":"ref17"},{"article-title":"Enhance time series modeling by integrating llm","volume-title":"NeurIPS Workshop on Time Series in the Age of Large Models","author":"Chen","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3342137"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011409"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3439950"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SANER60148.2024.00012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107975"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2958185"},{"key":"ref25","first-page":"172","article-title":"A novel anomaly detection scheme based on principal component classifier","volume-title":"Proceedings of the IEEE foundations and new directions of data mining workshop","author":"Shyu"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.36001\/phme.2014.v2i1.1554"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/app11157050"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3102110"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3393996"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886457"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737239"},{"article-title":"Were rnns all we needed?","year":"2024","author":"Feng","key":"ref33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"article-title":"Position: Quo vadis, unsupervised time series anomaly detection?","volume-title":"Forty-first International Conference on Machine Learning","author":"Sarfraz","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611559"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645392"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228205.pdf?arnumber=11228205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:54:03Z","timestamp":1763193243000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228205","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}