{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:09:37Z","timestamp":1782313777608,"version":"3.54.5"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Ministry for Science and Culture, Lower Saxony, Germany, through Funds from the Niedersachsische Vorab","award":["ZN3683"],"award-info":[{"award-number":["ZN3683"]}]},{"name":"Ministry for Science and Culture, Lower Saxony, Germany, through Funds from the Niedersachsische Vorab","award":["ZN3480"],"award-info":[{"award-number":["ZN3480"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3225225","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T19:37:30Z","timestamp":1669664250000},"page":"127345-127364","source":"Crossref","is-referenced-by-count":6,"title":["Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2572-3251","authenticated-orcid":false,"given":"Mobin M.","family":"Idrees","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Reading, Reading, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4860-0203","authenticated-orcid":false,"given":"Frederic","family":"Stahl","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence GmbH (DFKI), Marine Perception, Oldenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atta","family":"Badii","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Reading, Reading, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511921803"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.09.016"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.174"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2013.6637222"},{"key":"ref77","article-title":"Comparative analysis of extreme verification latency learning algorithms","author":"umer","year":"2020","journal-title":"arXiv 2011 14917"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2133803.2184450"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.03.026"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"ref78","author":"fleizach","year":"1998","journal-title":"A naive bayes classifier on 1998 kdd cup"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00017"},{"key":"ref33","first-page":"77","article-title":"Early drift detection method","volume":"6","author":"baena-garc\u00eda","year":"2006","journal-title":"Proc 4th Int Workshop Knowl Discovery Data Streams ECML PKDD"},{"key":"ref32","first-page":"90","article-title":"CUSUM based concept drift detector for data stream clustering","author":"k","year":"2020","journal-title":"Proc 4th Int Conf Big Data Internet Things"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/41.1-2.100"},{"key":"ref30","first-page":"815","article-title":"Test of page-Hinckley, an approach for fault detection in an agro-alimentary production system","volume":"2","author":"mouss","year":"2004","journal-title":"Proc 5th Asian Cont Conf"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2002.994785"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2011.67"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"ref34","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Statist Prob"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2006.10.006"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1552303.1552307"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281210"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190727"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.11.022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2522968.2522981"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.007"},{"key":"ref65","first-page":"57","article-title":"Towards facilitating the development of monitoring systems with low-cost autonomous mobile robots","volume":"421","author":"suzuki","year":"2013","journal-title":"Proc Int Workshop ISIP"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.020"},{"key":"ref66","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref67","author":"nemenyi","year":"1963","journal-title":"Distribution-free multiple comparisons"},{"key":"ref68","first-page":"365","article-title":"Controlled permutations for testing adaptive classifiers","author":"\u017eliobait?","year":"2011","journal-title":"Proc Int Conf Discovery Sci"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CCWC.2017.7868376"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280527"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.125"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2277712"},{"key":"ref24","author":"xiaojin","year":"2005","journal-title":"Semi-supervised learning literature survey"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.08.041"},{"key":"ref26","author":"souza","year":"2022","journal-title":"Non-Stationary Datasets Archive"},{"key":"ref25","first-page":"44","article-title":"MOA: Massive online analysis, a framework for stream classification and clustering","author":"bifet","year":"2010","journal-title":"Proc 1st Workshop Appl Pattern Anal"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.08.050"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.04.006"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972764.29"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0070-x"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2133803.2184450"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/882082.882087"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25856-5_3"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73871-8_58"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.011"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102408"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.06.010"},{"key":"ref11","first-page":"1740","article-title":"LevelIW: Learning extreme verification latency with importance weighting","author":"umer","year":"2017","journal-title":"Proc IJCNN"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/11811305_4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.104983"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.58"},{"key":"ref15","first-page":"225","article-title":"Accurate ensembles for data streams: Combining restricted Hoeffding trees using stacking","volume":"13","author":"bifet","year":"2010","journal-title":"Proc 2nd Asian Conf"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2007.4370772"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1006\/inco.1994.1009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250911"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.112"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SKIMA.2011.6089975"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SYNASC.2016.045"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15280-1_42"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00076"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974010.98"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1244002.1244107"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2826477"},{"key":"ref9","author":"idrees","year":"2021","journal-title":"Non-Stationary Datasets"},{"key":"ref46","first-page":"481","article-title":"Combining active learning and self-labeling for data stream mining","volume":"578","author":"korycki","year":"2017","journal-title":"Proc 10th Int Conf CORES"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.09.042"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1109\/TSMCB.2010.2042445","article-title":"Active learning from stream data using optimal weight classifier ensemble","volume":"40","author":"zhu","year":"2010","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10026"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09874-x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WISA.2012.47"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28148-8_8"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-014-0808-1"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09964239.pdf?arnumber=9964239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:39:52Z","timestamp":1672083592000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9964239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3225225","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}