{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T10:35:59Z","timestamp":1777458959947,"version":"3.51.4"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundations of China","doi-asserted-by":"publisher","award":["61672227"],"award-info":[{"award-number":["61672227"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"863 Plan of China Ministry of Science and Technology","award":["2015AA020107"],"award-info":[{"award-number":["2015AA020107"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1109\/tnnls.2017.2676239","type":"journal-article","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T18:31:28Z","timestamp":1494959488000},"page":"2581-2594","source":"Crossref","is-referenced-by-count":29,"title":["Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems"],"prefix":"10.1109","volume":"29","author":[{"given":"Yujin","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3759-2041","authenticated-orcid":false,"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyuan","family":"Zha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daqi","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280792"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596486"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2274735"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.10.005"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-008-0319-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321376"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74976-9_25"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref35","first-page":"1","article-title":"Identifying maximum imbalance in datasets for fault diagnosis of gearboxes","author":"santos","year":"2015","journal-title":"J Intell Manuf"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_26"},{"key":"ref40","author":"vladimir","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref11","author":"duda","year":"2012","journal-title":"Pattern Classification"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2161285"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2016.05.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2206381"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF02163027"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.12.011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.50"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.51"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2227470"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20847-8_29"},{"key":"ref3","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref6","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":"ref29","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1109\/TSMCB.2008.2007853","article-title":"Exploratory undersampling for class-imbalance learning","volume":"39","author":"liu","year":"2009","journal-title":"IEEE Trans Syst Man and Cybern C"},{"key":"ref5","first-page":"1","article-title":"C4. 5 and imbalanced data sets: Investigating the effect of sampling method, probabilistic estimate, and decision tree structure","volume":"3","author":"chawla","year":"2003","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39804-2_12"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-008-0323-y"},{"key":"ref9","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref1","author":"aha","year":"2013","journal-title":"Lazy Learning"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_25"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015365"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5015-9"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252718"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.1201\/b12207","author":"zhou","year":"2012","journal-title":"Ensemble Methods Foundations and Algorithms"},{"key":"ref21","first-page":"1137","article-title":"A study of cross-validation and bootstrap for accuracy estimation and model selection","volume":"14","author":"kohavi","year":"1995","journal-title":"Proc IJCAI"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00054-0"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13102-3_85"},{"key":"ref23","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: One-sided selection","volume":"97","author":"kubat","year":"1997","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref44","article-title":"Distance metric learning: A comprehensive survey","author":"yang","year":"2006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20847-8_27"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.841784"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2010.03.005"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8360119\/07929381.pdf?arnumber=7929381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:22:33Z","timestamp":1642004553000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7929381\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":47,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2676239","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}