{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:17:32Z","timestamp":1783455452333,"version":"3.55.0"},"reference-count":70,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62236001"],"award-info":[{"award-number":["62236001"]}],"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":["62406250"],"award-info":[{"award-number":["62406250"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Intelligent Equipment Application"},{"name":"Ministry of Education, Rocket Force University of Engineering"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tpami.2026.3679394","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:52:44Z","timestamp":1774986764000},"page":"9434-9449","source":"Crossref","is-referenced-by-count":1,"title":["Dual Geometry Margin Optimization for Coupled-Noisy Robust Ensemble Learning"],"prefix":"10.1109","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4814-1115","authenticated-orcid":false,"given":"Zheng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5900-6763","authenticated-orcid":false,"given":"Guanxiong","family":"He","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6016-6895","authenticated-orcid":false,"given":"Runxin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3416-7826","authenticated-orcid":false,"given":"Liaoyuan","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9240-6726","authenticated-orcid":false,"given":"Rong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-6519","authenticated-orcid":false,"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10283-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1613\/jair.614"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"ref6","first-page":"110","article-title":"Ensemble learning","volume":"2","author":"Dietterich","year":"2002","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09896-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.07.008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.08.055"},{"key":"ref11","first-page":"148","article-title":"Experiments with a new boosting algorithm","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"96","author":"Freund","year":"1996"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.07.007"},{"key":"ref14","article-title":"The theory behind overfitting, cross validation, regularization, bagging, and boosting: Tutorial","author":"Ghojogh","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2020.05.002"},{"issue":"131","key":"ref16","first-page":"1","article-title":"Bagging provides assumption-free stability","volume":"25","author":"Soloff","year":"2024","journal-title":"J. Mach. Learn. Res."},{"issue":"359","key":"ref17","first-page":"1","article-title":"A unified theory of diversity in ensemble learning","volume":"24","author":"Wood","year":"2023","journal-title":"J. Mach. Learn. Res."},{"key":"ref18","first-page":"6639","article-title":"Catboost: Unbiased boosting with categorical features","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Prokhorenkova","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3406325.3451030"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-010-9156-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3709149"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03968-7"},{"key":"ref23","first-page":"1","article-title":"Learning with feature-dependent label noise: A progressive approach","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2021"},{"key":"ref24","first-page":"5209","article-title":"Feature noise induces loss discrepancy across groups","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Khani","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794470"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref27","article-title":"A survey of label-noise representation learning: Past, present and future","author":"Han","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44938-8_4"},{"key":"ref29","first-page":"82","article-title":"Boosting in the presence of label noise","volume-title":"Proc. 29th Uncertainty Artif. Intell.-Proc.","author":"Bootkrajang","year":"2013"},{"key":"ref30","first-page":"1196","article-title":"Learning with noisy labels","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Natarajan","year":"2013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152527"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2409265"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118850"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.38094\/jastt1224"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00637-x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10894"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00935"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.2000.889420"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.060"},{"key":"ref40","first-page":"4071","article-title":"Improving generalization by controlling label-noise information in neural network weights","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Harutyunyan","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/305"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.03.030"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3073248"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3317255"},{"key":"ref45","first-page":"40290","article-title":"Delving into noisy label detection with clean data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yu","year":"2023"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01812"},{"key":"ref47","first-page":"1919","article-title":"Meta-weight-net: Learning an explicit mapping for sample weighting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Shu","year":"2019"},{"key":"ref48","first-page":"1","article-title":"Training deep neural-networks using a noise adaptation layer","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Goldberger","year":"2017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498376"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3119861"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3758\/s13414-012-0399-4"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39804-2_12"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3357986"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2007.4408144"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.12.030"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1024691352"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s11460-012-0188-9"},{"key":"ref59","first-page":"26669","article-title":"Building robust ensembles via margin boosting","volume-title":"Int. Conf. Mach. Learn.","author":"Zhang","year":"2022"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref61","first-page":"1143","article-title":"Support vector machine soft margin classifiers: Error analysis","volume":"5","author":"Chen","year":"2004","journal-title":"J. Mach. Learn. Res."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.873281"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12127-2_20"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00519"},{"key":"ref65","first-page":"14153","article-title":"Robust training under label noise by over-parameterization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liu","year":"2022"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.086"},{"issue":"7","key":"ref67","article-title":"An integrated machine learning approach for congestive heart failure prediction","volume-title":"Diagnostics","volume":"14","author":"Singh","year":"2024"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386944"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-024-02279-0"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3227370"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11595778\/11458786.pdf?arnumber=11458786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T19:44:34Z","timestamp":1783453474000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11458786\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":70,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2026.3679394","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}