{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T11:11:24Z","timestamp":1782213084371,"version":"3.54.5"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61375088"],"award-info":[{"award-number":["61375088"]}],"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":["U1508208"],"award-info":[{"award-number":["U1508208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["DUT16TD15"],"award-info":[{"award-number":["DUT16TD15"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/tcyb.2016.2636370","type":"journal-article","created":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T07:50:51Z","timestamp":1482479451000},"page":"357-370","source":"Crossref","is-referenced-by-count":69,"title":["Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition"],"prefix":"10.1109","volume":"48","author":[{"given":"Xuesong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7640-4330","authenticated-orcid":false,"given":"Yan","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Witold","family":"Pedrycz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.04.022"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007734"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1109\/TCYB.2014.2341031","article-title":"Graph ensemble boosting for imbalanced noisy graph stream classification","volume":"45","author":"pan","year":"2015","journal-title":"IEEE Trans Cybern"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.10.012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/761814"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.95"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336876"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_24"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2431211.2431215"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.71"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.04.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"ref17","first-page":"586","article-title":"Guess-averse loss functions for cost-sensitive multiclass boosting","author":"beijbom","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref18","first-page":"148","article-title":"Experiments with a new boosting algorithm","author":"freund","year":"1996","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref28","first-page":"983","article-title":"A comparative study of cost-sensitive boosting algorithms","author":"ting","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: Synthetic minority over-sampling technique","volume":"16","author":"chawla","year":"2002","journal-title":"J Artif Intell Res"},{"key":"ref27","first-page":"97","article-title":"AdaCost: Misclassification cost-sensitive boosting","author":"fan","year":"1999","journal-title":"Proc 16th Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2257480"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.764"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/978-3-642-01307-2_43","article-title":"Safe-level-SMOTE: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem","author":"bunkhumpornpat","year":"2009","journal-title":"Advances in Knowledge Discovery and Data Mining (LNCS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"ref7","first-page":"107","article-title":"SMOTEBoost: Improving prediction of the minority class in boosting","author":"chawla","year":"2003","journal-title":"In Knowledge Discovery in Database"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2161285"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23780-5_14"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2008.59"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-015-0870-3"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/978-3-642-15561-1_16","article-title":"Adapting visual category models to new domains","author":"saenko","year":"2010","journal-title":"Computer Vision–ECCV 2010 (LNCS 6314)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321376"},{"key":"ref26","article-title":"Caltech-256 object category dataset","author":"griffin","year":"2007"},{"key":"ref25","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc IEEE Conf Comp Vis Pattern Recognit"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8207702\/07795245.pdf?arnumber=7795245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:41:44Z","timestamp":1641987704000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7795245\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":40,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2016.2636370","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}