{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T09:43:50Z","timestamp":1775641430264,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"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":["62306212"],"award-info":[{"award-number":["62306212"]}],"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":["T2422015"],"award-info":[{"award-number":["T2422015"]}],"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":["62020106004"],"award-info":[{"award-number":["62020106004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["23JCJQJC000070"],"award-info":[{"award-number":["23JCJQJC000070"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Marie Skłodowska-Curie Actions","award":["101111188"],"award-info":[{"award-number":["101111188"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tkde.2024.3523043","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T19:21:52Z","timestamp":1735240912000},"page":"1167-1181","source":"Crossref","is-referenced-by-count":21,"title":["FRAME: Feature Rectification for Class Imbalance Learning"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4724-5748","authenticated-orcid":false,"given":"Xu","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2074-0228","authenticated-orcid":false,"given":"Fan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8572-6905","authenticated-orcid":false,"given":"Yao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0084-1662","authenticated-orcid":false,"given":"Huan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Aalborg University, Aalborg, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5133-6688","authenticated-orcid":false,"given":"Xiufeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Technology, Management and Economics, Technical University of Denmark, Produktionstorvet, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6705-3831","authenticated-orcid":false,"given":"Shengyong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Towards inter-class and intra-class imbalance in class-imbalanced learning","author":"Liu","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3090702"},{"key":"ref3","first-page":"2021","article-title":"A causality-inspired feature selection method for cancer imbalanced high-dimensional data","author":"Liu","year":"2021","journal-title":"bioRxiv"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2985965"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2832648"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00078"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.06.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2774266"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.11.004"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3106306"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71249-9_46"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927647"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108511"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109008"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2021.3138448"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108288"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109721"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3161537"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106778"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103235"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA55696.2022.00225"},{"key":"ref23","first-page":"4334","article-title":"Learning to reweight examples for robust deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ren"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.205"},{"key":"ref25","first-page":"1","article-title":"DeepNCM: Deep nearest class mean classifiers","volume-title":"Proc. Int. Conf. Learn. Representations Workshops","author":"Guerriero"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00657"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3136503"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1806\/table-3"},{"key":"ref31","first-page":"255","article-title":"Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"Alcal\u00e1-Fdez","year":"2015","journal-title":"J. Mult.-Valued Log. Soft Comput."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.05.035"},{"key":"ref33","first-page":"4175","article-title":"Balanced meta-softmax for long-tailed visual recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ren"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref35","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cao"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1037\/\/1082-989X.7.2.147"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/math10203736"},{"key":"ref38","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016"},{"key":"ref39","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn.","author":"Lee"},{"key":"ref40","article-title":"Class-imbalanced semi-supervised learning","author":"Hyun","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/504"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167467"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10855162\/10816467.pdf?arnumber=10816467","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T18:50:21Z","timestamp":1738090221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10816467\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3523043","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}