{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:22:37Z","timestamp":1778084557103,"version":"3.51.4"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Ningxia Key Research and Development Plan","award":["2023BDE02001"],"award-info":[{"award-number":["2023BDE02001"]}]},{"name":"2022 Ningxia Autonomous Region Key Research and Development Plan","award":["2022YCZX0013"],"award-info":[{"award-number":["2022YCZX0013"]}]},{"DOI":"10.13039\/501100012490","name":"2022 University Research Platform \u201cDigital Agriculture Empowering Ningxia Rural Revitalization Innovation Team\u201d of North Minzu University","doi-asserted-by":"publisher","award":["2022PT_S10"],"award-info":[{"award-number":["2022PT_S10"]}],"id":[{"id":"10.13039\/501100012490","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Key Project of School-Enterprise Joint Innovation in Yinchuan 2022","award":["2022XQZD009"],"award-info":[{"award-number":["2022XQZD009"]}]},{"name":"\u201cInnovation Team for Image and Intelligent Information Processing\u201d under the National Ethnic Affairs Commission"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3322429","type":"journal-article","created":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T17:56:48Z","timestamp":1696615008000},"page":"111944-111955","source":"Crossref","is-referenced-by-count":3,"title":["Incorporating Feature Interactions and Contrastive Learning for Credit Prediction"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5324-9478","authenticated-orcid":false,"given":"Lisi","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, North Minzu University, Ningxia, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6408-6451","authenticated-orcid":false,"given":"Qiancheng","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, North Minzu University, Ningxia, China"}]},{"given":"Beijing","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, North Minzu University, Ningxia, China"}]},{"given":"Yifan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, North Minzu University, Ningxia, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0593-5628","authenticated-orcid":false,"given":"Zhiyong","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, North Minzu University, Ningxia, China"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Deep learning methods for credit card fraud detection","author":"thi nguyen","year":"2020","journal-title":"arXiv 2012 03754"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.102730"},{"key":"ref15","article-title":"Construction and application of credit risk control model based on deep neural network","author":"zhang","year":"2021"},{"key":"ref14","article-title":"Research on credit scoring integration model combined with deep learning optimization algorithm","author":"he","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2022.200136"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15363-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2020.1759030"},{"key":"ref1","first-page":"2256","article-title":"Improving the credit risk prediction model of LightGBM based on boundary adaptive SMOTE and focal loss function","volume":"42","author":"chen","year":"2022","journal-title":"Comput Appl"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/435"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570372"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref25","article-title":"Dive into deep learning","author":"zhang","year":"2021","journal-title":"arXiv 2106 11342"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347043"},{"key":"ref22","article-title":"XSimGCL: Towards extremely simple graph contrastive learning for recommendation","author":"yu","year":"2022","journal-title":"arXiv 2209 02544"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531937"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.03.027"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.01.143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2023.200204"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12953"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3437075.3437081"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105936"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10273718.pdf?arnumber=10273718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T20:15:47Z","timestamp":1704917747000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10273718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3322429","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}