{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:58Z","timestamp":1740169378573,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Hunan Youth Fund Project","award":["2022JJ40879"],"award-info":[{"award-number":["2022JJ40879"]}]},{"name":"Excellent Youth Project of Hunan Provincial Department of Education","award":["22B0254"],"award-info":[{"award-number":["22B0254"]}]},{"name":"Central South University of the Forestry and Technology Introduced Talents and Scientific Research Start-Up Fund Project","award":["2021YJ0057"],"award-info":[{"award-number":["2021YJ0057"]}]},{"name":"Research and Application Demonstration of Key Technologies for the Construction of an Intelligent Interpretation Sample and Spectral Database for Remote Sensing of Natural Resources","award":["2023ZRBSHZ021"],"award-info":[{"award-number":["2023ZRBSHZ021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3516376","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T19:18:58Z","timestamp":1734031138000},"page":"189776-189788","source":"Crossref","is-referenced-by-count":0,"title":["A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6930-2834","authenticated-orcid":false,"given":"Zhenzhen","family":"Wang","sequence":"first","affiliation":[{"name":"School of Chemistry and Chemical Engineering, Central South University of Forestry and Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8697-7272","authenticated-orcid":false,"given":"Junde","family":"Xie","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Laboratory of Geochemical Processes and Resource Environmental Effects, Geophysical and Geochemical Survey Institute of Hunan, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5740-715X","authenticated-orcid":false,"given":"Jia","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106554"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2891622"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2196\/14464"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.05.026"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122673"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-08135-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3197156"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2021.3049817"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2023.103618"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.08.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02326-2_9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119564"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/9005278"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106087"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109303"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14235872"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976373.ch11"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.106.682658"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3016048"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107104"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103235"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.12.023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110795"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3288257"},{"key":"ref27","first-page":"338","article-title":"Efficient data preprocessing approach for imbalanced data in email classification system","volume-title":"Proc. Int. Conf. Smart Technol. Comput., Electr. Electron. (ICSTCEE)","author":"Kodabagi"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CFIS49607.2020.9238718"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0269135"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/24699322.2019.1649074"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-11-51"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102682"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105941"},{"key":"ref34","article-title":"A random projection k nearest neighbours ensemble for classification via extended neighbourhood rule","author":"Ali","year":"2023","journal-title":"arXiv:2303.12210"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3174091"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.dajour.2023.100298"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3055992"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3225682"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00078"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108295"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.12.014"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10794777.pdf?arnumber=10794777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:27:42Z","timestamp":1734676062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10794777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3516376","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}