{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:59:02Z","timestamp":1768802342136,"version":"3.49.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DE170100759"],"award-info":[{"award-number":["DE170100759"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP170100654"],"award-info":[{"award-number":["DP170100654"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP170100654"],"award-info":[{"award-number":["DP170100654"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP130104591"],"award-info":[{"award-number":["DP130104591"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP170100654"],"award-info":[{"award-number":["DP170100654"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["1111338"],"award-info":[{"award-number":["1111338"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/tcyb.2018.2816984","type":"journal-article","created":{"date-parts":[[2018,4,2]],"date-time":"2018-04-02T18:04:12Z","timestamp":1522692252000},"page":"1932-1943","source":"Crossref","is-referenced-by-count":56,"title":["AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications"],"prefix":"10.1109","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1098-3138","authenticated-orcid":false,"given":"Pengyi","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John T.","family":"Ormerod","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6565-5815","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chendong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3090-1059","authenticated-orcid":false,"given":"Albert Y.","family":"Zomaya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean Y. H.","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_71"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02319-4_50"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2223460"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010852229904"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.086"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.20965\/jaciii.2010.p0297"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.46"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1613\/jair.606"},{"key":"ref34","first-page":"489","article-title":"Classification with asymmetric label noise: Consistency and maximal denoising","author":"scott","year":"2013","journal-title":"Proc Conf Learn Theory"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3327"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx092"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.molcel.2014.07.005"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/S1046-2023(03)00089-6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2012.08.009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.10.081"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.stem.2015.03.002"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2008.04.043"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-004-0751-8"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2013.03.035"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1038\/nature12716"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022859003006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401920"},{"key":"ref20","first-page":"448","article-title":"Learning with positive and unlabeled examples using weighted logistic regression","author":"lee","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn (ICML)"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1093\/bioinformatics\/btv550","article-title":"Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data","volume":"32","author":"yang","year":"2016","journal-title":"Bioinformatics"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007692713085"},{"key":"ref24","first-page":"1927","article-title":"Text classification from positive and unlabeled examples","author":"denis","year":"2002","journal-title":"Proc 9th Int Conf Inf Process Manag Uncertainty Knowl Based Syst (IPMU)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2058578"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.06.010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/S026988891300043X"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2606104"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gku1267"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2013.04.010"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1004403"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt078"},{"key":"ref55","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":"ref54","author":"lichman","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref53","first-page":"61","article-title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","volume":"10","author":"platt","year":"1999","journal-title":"Adv Large Margin Classifiers"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2257480"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116829"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-010-9156-z"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.03.027"},{"key":"ref12","first-page":"125","article-title":"Learning from corrupted binary labels via class-probability estimation","author":"menon","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/457"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref15","first-page":"587","article-title":"Learning to classify texts using positive and unlabeled data","author":"li","year":"2003","journal-title":"Proc 18th Int Joint Conf Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250918"},{"key":"ref17","first-page":"792","article-title":"Learning to classify text from labeled and unlabeled documents","author":"nigam","year":"1998","journal-title":"Proc 15th Nat Conf Artif Intell \/10th Innovative Appl Artif Intell Conf"},{"key":"ref18","first-page":"387","article-title":"Partially supervised classification of text documents","volume":"2","author":"liu","year":"2002","journal-title":"Proc ICML"},{"key":"ref19","first-page":"703","article-title":"Analysis of learning from positive and unlabeled data","author":"du plessis","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv865"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts504"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.08.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-40992-0_6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2005.09.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.04.017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.23"},{"key":"ref46","first-page":"1501","article-title":"Learning from partial labels","volume":"12","author":"cour","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.07.014"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2721942"},{"key":"ref42","first-page":"97","article-title":"Support vector machines under adversarial label noise","volume":"20","author":"biggio","year":"2011","journal-title":"Proc ACM"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44938-8_32"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref43","first-page":"1196","article-title":"Learning with noisy labels","author":"natarajan","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8660597\/08329462.pdf?arnumber=8329462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T17:11:22Z","timestamp":1720199482000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8329462\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":69,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2018.2816984","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}