{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:35:34Z","timestamp":1762522534577,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"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":["61702270"],"award-info":[{"award-number":["61702270"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M621592"],"award-info":[{"award-number":["2017M621592"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tcyb.2020.3026576","type":"journal-article","created":{"date-parts":[[2020,10,23]],"date-time":"2020-10-23T19:36:52Z","timestamp":1603481812000},"page":"5064-5078","source":"Crossref","is-referenced-by-count":17,"title":["Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4064-2978","authenticated-orcid":false,"given":"Chao","family":"Tan","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6882-600X","authenticated-orcid":false,"given":"Sheng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronics and Computer Science, University of Southampton, Southampton, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7475-1910","authenticated-orcid":false,"given":"Genlin","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7729-0622","authenticated-orcid":false,"given":"Xin","family":"Geng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5272-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.07.015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2545658"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v24i1.7657"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.51"},{"key":"ref6","first-page":"3511","article-title":"Pre-release prediction of crowd opinion on movies by label distribution learning","volume-title":"Proc. IJCAI","author":"Geng"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806328"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.478"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.03.083"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10729"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408856"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-010-0636-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500\u20132323"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/s1064827502419154"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10258"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/406"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076080"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1839490.1839495"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.01.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.033"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1754428.1754431"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3486622.0000007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/364"},{"article-title":"Semi-supervised learning with graphs","year":"2005","author":"Zhu","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.204"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2162000"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2123886"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00320"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.160"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.162"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.06.010"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2716262"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1157"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2752003"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.41"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32695-0_75"},{"key":"ref41","first-page":"1","article-title":"An IRWLS procedure for SVR","volume-title":"Proc. 10th Eur. Signal Process. Conf.","author":"P\u00e1rez-Cruz"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2109934"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1162\/0899766052530875"},{"volume-title":"Mulan: A Java Library for Multi-Label Learning","year":"2018","key":"ref44"},{"issue":"1","key":"ref45","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple datasets","volume":"7","author":"Demsar","year":"2006","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9797898\/09238428.pdf?arnumber=9238428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:47:20Z","timestamp":1704844040000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9238428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":45,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2020.3026576","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"type":"print","value":"2168-2267"},{"type":"electronic","value":"2168-2275"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}