{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T20:17:07Z","timestamp":1783714627664,"version":"3.55.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China, STI 2030 Major Projects","award":["2021ZD0201502"],"award-info":[{"award-number":["2021ZD0201502"]}]},{"name":"European Union’s Horizon Europe Research and Innovation Programme"},{"name":"Marie Sklodowska-Curie","award":["101126611"],"award-info":[{"award-number":["101126611"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tkde.2026.3689274","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:49:20Z","timestamp":1777578560000},"page":"5420-5432","source":"Crossref","is-referenced-by-count":0,"title":["Test-Time Learning for Outlier Detection"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2521-2256","authenticated-orcid":false,"given":"Jiawei","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computing, University of Turku, Turku, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0083-9247","authenticated-orcid":false,"given":"Jingdong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0831-6934","authenticated-orcid":false,"given":"Susanto","family":"Rahardja","sequence":"additional","affiliation":[{"name":"College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3393996"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3266755"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3448473"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.12.041"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.081"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/e25050820"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2023.3280593"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3332757"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.078"},{"key":"ref11","article-title":"Outlier detection techniques","author":"Yang","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3371425.3371427"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107874"},{"key":"ref14","first-page":"8703","article-title":"Neural transformation learning for deep anomaly detection beyond images","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Qiu","year":"2021"},{"key":"ref15","article-title":"Anomaly detection for tabular data with internal contrastive learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Shenkar","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2905606"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3139916"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3690827"},{"key":"ref19","first-page":"4393","article-title":"Deep one-class classification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ruff","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/208"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3270293"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs14215394"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3525003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110947"},{"key":"ref25","first-page":"392","article-title":"Algorithms for mining distance-based outliers in large datasets","volume-title":"Proc. 24th Int. Conf. Very Large Databases","author":"Edwin","year":"1998"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2024.3371782"},{"key":"ref29","first-page":"38655","article-title":"Fascinating supervisory signals and where to find them: Deep anomaly detection with scale learning","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Xu","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3626561"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3522690"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3348833"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3159580"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3381028"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3653719"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47578-3_1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00014"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.08.020"},{"key":"ref40","first-page":"9229","article-title":"Test-time training with self-supervision for generalization under distribution shifts","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sun","year":"2020"},{"key":"ref41","first-page":"57503","article-title":"Learning to (learn at test time): RNNs with expressive hidden states","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sun","year":"2025"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2830544.2830549"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"issue":"96","key":"ref44","first-page":"1","article-title":"PyOD: A python toolbox for scalable outlier detection","volume":"20","author":"Zhao","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0444-8"},{"key":"ref46","article-title":"The UCI machine learning repository","author":"Kelly","year":"2024"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CCCS.2018.8586840"},{"key":"ref48","article-title":"Canadian institute for cybersecurity datasets","year":"2012"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP55214.2022.9943422"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1289"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1957"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i12.29210"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11591437\/11501766.pdf?arnumber=11501766","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T19:41:01Z","timestamp":1783712461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11501766\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":52,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3689274","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.173610834.48328371\/v1","asserted-by":"object"}]},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}