{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:29:44Z","timestamp":1769560184115,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,14]]},"DOI":"10.1109\/ipta62886.2024.10755938","type":"proceedings-article","created":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T18:53:25Z","timestamp":1732301605000},"page":"01-06","source":"Crossref","is-referenced-by-count":1,"title":["Image Drift: Introducing Gaussian Split Detector"],"prefix":"10.1109","author":[{"given":"Maxime","family":"Fuccellaro","sequence":"first","affiliation":[{"name":"UMR 5800, LaBRI, University of Bordeaux,Bordeaux,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Simon","sequence":"additional","affiliation":[{"name":"UMR 5800, LaBRI, University of Bordeaux,Bordeaux,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akka","family":"Zemmari","sequence":"additional","affiliation":[{"name":"UMR 5800, LaBRI, University of Bordeaux,Bordeaux,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"77","article-title":"Early drift detection method","volume-title":"Fourth international workshop on knowledge discovery from data streams","volume":"6","author":"Baena-Garcia","year":"2006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.42"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-002-0250-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01560-w"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2251352"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI50451.2021.9659969"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61527-7_13"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2307\/2984875"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2160459"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86486-6_26"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358144"},{"issue":"1","key":"ref13","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"The Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308521"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30047-9_15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/312129.312285"},{"key":"ref17","first-page":"2755","article-title":"Dynamic weighted majority: An ensemble method for drifting concepts","volume":"8","author":"Kolter","year":"2007","journal-title":"The Journal of Machine Learning Research"},{"key":"ref18","author":"Krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.02.054"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2876857"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75488-6_27"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.111"},{"key":"ref24","article-title":"Failing loudly: An empirical study of methods for detecting dataset shift","volume":"32","author":"Rabanser","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2016.26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0448-4"},{"key":"ref28","author":"Xiao","year":"2017","journal-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms"}],"event":{"name":"2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","location":"Rabat, Morocco","start":{"date-parts":[[2024,10,14]]},"end":{"date-parts":[[2024,10,17]]}},"container-title":["2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10755210\/10755524\/10755938.pdf?arnumber=10755938","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T18:35:07Z","timestamp":1732732507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10755938\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,14]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ipta62886.2024.10755938","relation":{},"subject":[],"published":{"date-parts":[[2024,10,14]]}}}