{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T11:10:25Z","timestamp":1737025825416,"version":"3.33.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute of Information and communications Technology Planning & Evaluation","doi-asserted-by":"publisher","award":["2021-0-01341"],"award-info":[{"award-number":["2021-0-01341"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002642","name":"Korea University","doi-asserted-by":"publisher","award":["2019-0-00079"],"award-info":[{"award-number":["2019-0-00079"]}],"id":[{"id":"10.13039\/501100002642","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,16]]},"DOI":"10.1109\/ictc62082.2024.10826886","type":"proceedings-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T19:40:10Z","timestamp":1736883610000},"page":"13-18","source":"Crossref","is-referenced-by-count":0,"title":["Time-Series Anomaly Detection Based on Imputation in the Latent Space"],"prefix":"10.1109","author":[{"given":"Hyuntae","family":"Kim","sequence":"first","affiliation":[{"name":"Chung-Ang University,Department of Artificial Intelligence,Seoul,Korea"}]},{"given":"Changhee","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea University,Department of Artificial Intelligence,Seoul,Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.008"},{"key":"ref2","article-title":"Revisiting time series outlier detection: Definitions and benchmarks","volume-title":"Thirty-fifth conference on neural information processing systems datasets and benchmarks track (round 1)","author":"Lai","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3444690"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102201"},{"key":"ref5","article-title":"Drift doesn\u2019t matter: dynamic decomposition with diffusion reconstruction for unstable multivariate time series anomaly detection","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Wang","year":"2024"},{"key":"ref6","article-title":"Memto: Memory-guided transformer for multivariate time series anomaly detection","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Song","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14778\/3632093.3632101"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599391"},{"key":"ref10","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467174"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CySWater.2016.7469060"},{"key":"ref15","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013","journal-title":"arXiv preprint"},{"key":"ref16","first-page":"4393","article-title":"Deep one-class classification","volume-title":"International conference on machine learning","author":"Ruff","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2018.00029"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557470"},{"key":"ref19","article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","author":"Xu","year":"2021","journal-title":"arXiv preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539339"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"}],"event":{"name":"2024 15th International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2024,10,16]]},"location":"Jeju Island, Korea, Republic of","end":{"date-parts":[[2024,10,18]]}},"container-title":["2024 15th International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10826571\/10826594\/10826886.pdf?arnumber=10826886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T06:42:45Z","timestamp":1736923365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10826886\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/ictc62082.2024.10826886","relation":{},"subject":[],"published":{"date-parts":[[2024,10,16]]}}}