{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T09:55:32Z","timestamp":1720432532137},"reference-count":40,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","funder":[{"name":"the NSFC","award":["U1836107","61972111"],"award-info":[{"award-number":["U1836107","61972111"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20180507183823045","JCYJ20170811160212033"],"award-info":[{"award-number":["JCYJ20180507183823045","JCYJ20170811160212033"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2021,3,30]]},"abstract":"<jats:p> Multi-label classification addresses the problem that each instance is associated with multiple labels simultaneously. In this paper, we propose a multi-label crotch ensemble (MLCE) model for multi-label classification, which takes label correlations into consideration. In MLCE, a multi-label cluster tree is first constructed. Then, we incorporate all multi-label crotch predictors of the tree into a classifier, where the multi-label crotch predictor is the crotch formed by an inner node of the tree and its children. Finally, a flexible weighted voting scheme is designed to produce the classification output. We perform experiments on 11 benchmark datasets. Experimental results clearly demonstrate the MLCE significantly outperforms six well-established multi-label classification approaches, in terms of the widely used evaluation metrics. <\/jats:p>","DOI":"10.1142\/s021800142151006x","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T15:00:22Z","timestamp":1598367622000},"page":"2151006","source":"Crossref","is-referenced-by-count":4,"title":["MLCE: A Multi-Label Crotch Ensemble Method for Multi-Label Classification"],"prefix":"10.1142","volume":"35","author":[{"given":"Yuan","family":"Yao","sequence":"first","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Shenzhen Polytechnic, Shenzhen 518055, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunming","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xutao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,10,22]]},"reference":[{"key":"S021800142151006XBIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2343234"},{"key":"S021800142151006XBIB002","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00061"},{"key":"S021800142151006XBIB003","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5127-5"},{"key":"S021800142151006XBIB004","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44794-6_4"},{"key":"S021800142151006XBIB005","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5285-8"},{"key":"S021800142151006XBIB006","first-page":"1","volume":"7","author":"Dem\u0161ar J.","year":"2006","journal-title":"JMLR"},{"key":"S021800142151006XBIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.041"},{"key":"S021800142151006XBIB008","first-page":"681","volume-title":"NeurIPS","author":"Elisseeff A.","year":"2001"},{"key":"S021800142151006XBIB009","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5064-8"},{"key":"S021800142151006XBIB010","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24580-3_50"},{"key":"S021800142151006XBIB011","first-page":"1","author":"Li C.","year":"2019","journal-title":"TNNLS"},{"key":"S021800142151006XBIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.07.066"},{"key":"S021800142151006XBIB013","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.325"},{"key":"S021800142151006XBIB014","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.04.029"},{"key":"S021800142151006XBIB015","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89378-3_33"},{"key":"S021800142151006XBIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.01.009"},{"key":"S021800142151006XBIB017","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw560"},{"key":"S021800142151006XBIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.01.011"},{"key":"S021800142151006XBIB019","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.036"},{"key":"S021800142151006XBIB020","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240567"},{"key":"S021800142151006XBIB021","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.004"},{"key":"S021800142151006XBIB022","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44851-9_28"},{"key":"S021800142151006XBIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.01.004"},{"key":"S021800142151006XBIB024","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"S021800142151006XBIB025","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889846"},{"key":"S021800142151006XBIB026","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87881-0_40"},{"issue":"7","key":"S021800142151006XBIB027","first-page":"1079","volume":"23","author":"Tsoumakas G.","year":"2011","journal-title":"TKDE"},{"key":"S021800142151006XBIB028","doi-asserted-by":"crossref","unstructured":"G. Tsoumakas,  I. Katakis and  I. Vlahavas,  Mining Multi-label Data (Springer,  US,  2010), pp. 667\u2013685.","DOI":"10.1007\/978-0-387-09823-4_34"},{"key":"S021800142151006XBIB029","first-page":"2411","volume":"12","author":"Tsoumakas G.","year":"2011","journal-title":"JMLR"},{"key":"S021800142151006XBIB030","volume":"433","author":"Vluymans S.","year":"2017","journal-title":"Inform. Sci."},{"key":"S021800142151006XBIB031","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv212"},{"key":"S021800142151006XBIB032","series-title":"Morgan Kaufmann Series in Data Management Systems","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten I. H.","year":"2005","edition":"2"},{"issue":"10","key":"S021800142151006XBIB033","first-page":"2665","volume":"28","author":"Wu Q.","year":"2016","journal-title":"TKDE"},{"key":"S021800142151006XBIB034","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2315296"},{"key":"S021800142151006XBIB035","first-page":"1","author":"Xu M.","year":"2019","journal-title":"TKDE"},{"key":"S021800142151006XBIB036","volume-title":"AAAI","author":"Yeh C.-K.","year":"2017"},{"key":"S021800142151006XBIB037","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2339815"},{"issue":"10","key":"S021800142151006XBIB038","first-page":"1338","volume":"18","author":"Zhang M.-L.","year":"2006","journal-title":"TKDE"},{"key":"S021800142151006XBIB039","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"issue":"10","key":"S021800142151006XBIB040","first-page":"1901","volume":"30","author":"Zhu Y.","year":"2018","journal-title":"TKDE"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021800142151006X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T09:08:47Z","timestamp":1618304927000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021800142151006X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,22]]},"references-count":40,"journal-issue":{"issue":"04","published-print":{"date-parts":[[2021,3,30]]}},"alternative-id":["10.1142\/S021800142151006X"],"URL":"https:\/\/doi.org\/10.1142\/s021800142151006x","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,22]]}}}