{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:07:49Z","timestamp":1775912869507,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["ZYGX2019Z014"],"award-info":[{"award-number":["ZYGX2019Z014"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976044"],"award-info":[{"award-number":["61976044"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52079026"],"award-info":[{"award-number":["52079026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China","doi-asserted-by":"publisher","award":["161062"],"award-info":[{"award-number":["161062"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFB0502300"],"award-info":[{"award-number":["2016YFB0502300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1109\/tcyb.2021.3070420","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T19:48:42Z","timestamp":1621972122000},"page":"11373-11384","source":"Crossref","is-referenced-by-count":18,"title":["Learning High-Dimensional Evolving Data Streams With Limited Labels"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4145-7176","authenticated-orcid":false,"given":"Salah Ud","family":"Din","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4915-9701","authenticated-orcid":false,"given":"Jay","family":"Kumar","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6022-428X","authenticated-orcid":false,"given":"Junming","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Cobbinah Bernard","family":"Mawuli","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Waldiodio David","family":"Ndiaye","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2748598"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3373464.3373470"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2877611"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2772239"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2708979"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1137-y"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2761908"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2403573"},{"key":"ref11","article-title":"Semi-supervised learning literature survey","author":"Zhu","year":"2005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.152"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-015-0837-4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.08.041"},{"key":"ref15","first-page":"5095","article-title":"Semi-supervised learning on data streams via temporal label propagation","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","volume":"80","author":"Wagner"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-019-01585-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0159"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.125"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0447-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006217"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.03.052"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-015-0358-3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1552303.1552305"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2550042"},{"key":"ref25","first-page":"1725","article-title":"Graph quality judgement: A large margin expedition","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Li"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1149-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.06.038"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2007.904745"},{"key":"ref29","first-page":"32","article-title":"Handling concept drift in a text data stream constrained by high labelling cost","volume-title":"Proc. 23rd Int. Florida Artif. Intell. Res. Soc. Conf.","author":"Lindstrom"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.03.034"},{"key":"ref31","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"Vincent","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2324759"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2458702"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.11"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3106426.3106489"},{"key":"ref36","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.12.007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835879"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.08.050"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5642-8"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2251352"},{"key":"ref44","first-page":"1601","article-title":"MOA: Massive online analysis","volume":"11","author":"Bifet","year":"2010","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9920524\/09440866.pdf?arnumber=9440866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:21:59Z","timestamp":1704842519000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9440866\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":44,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3070420","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}