{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T16:03:14Z","timestamp":1778947394997,"version":"3.51.4"},"reference-count":59,"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-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3393154","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T17:31:29Z","timestamp":1713979889000},"page":"64285-64299","source":"Crossref","is-referenced-by-count":35,"title":["Financial Fraud Detection Using Value-at-Risk With Machine Learning in Skewed Data"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9056-7881","authenticated-orcid":false,"given":"Abdullahi Ubale","family":"Usman","sequence":"first","affiliation":[{"name":"School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1898-7352","authenticated-orcid":false,"given":"Sunusi Bala","family":"Abdullahi","sequence":"additional","affiliation":[{"name":"Department of Electronics and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bang Mod, Thrung Khru, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9079-1165","authenticated-orcid":false,"given":"Yu","family":"Liping","sequence":"additional","affiliation":[{"name":"School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bayan","family":"Alghofaily","sequence":"additional","affiliation":[{"name":"College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5026-7227","authenticated-orcid":false,"given":"Ahmed S.","family":"Almasoud","sequence":"additional","affiliation":[{"name":"College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3817-2655","authenticated-orcid":false,"given":"Amjad","family":"Rehman","sequence":"additional","affiliation":[{"name":"College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Association of Certified Fraud Examiners (ACFE) 2022 Report to the Nations","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s22197162"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11040662"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/app13106145"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIRCA48905.2020.9182954"},{"key":"ref6","article-title":"Digital account opening fraud on demand deposit accounts: An assessment of available technology","author":"Pagano","year":"2020"},{"key":"ref7","volume-title":"New Account Fraud\u2014A New Breed of Scams","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-7610-9_15"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s40854-023-00470-w"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2021.100176"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.inteco.2021.11.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1108\/jmlc-07-2016-0031"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10463-022-00822-w"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/engproc2021005056"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48084\/etasr.6401"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/app13020697"},{"issue":"3","key":"ref17","first-page":"1","article-title":"Enhanced fraud miner: Credit card fraud detection using clustering data mining techniques","volume":"40","author":"Hegazy","year":"2016","journal-title":"Egyptian Comput. Sci. J."},{"key":"ref18","first-page":"33563","article-title":"Turning the tables: Biased, imbalanced, dynamic tabular datasets for ML evaluation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Jesus"},{"key":"ref19","article-title":"Fairness-aware data valuation for supervised learning","author":"Pombal","year":"2023","journal-title":"arXiv:2303.16963"},{"key":"ref20","article-title":"Transparency and privacy: The role of explainable AI and federated learning in financial fraud detection","author":"Awosika","year":"2023","journal-title":"arXiv:2312.13334"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1108\/jfm-02-2021-0024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1108\/jaar-06-2022-0159"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1108\/jfc-09-2022-0219"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/economies10010013"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaccpubpol.2021.106903"},{"issue":"1","key":"ref26","first-page":"44","article-title":"Fraud detection and prevention","volume":"31","author":"Hendieh","year":"2023","journal-title":"Middle-East J. Sci. Res."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1108\/JFC-04-2021-0083"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.11.225"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1108\/jfc-07-2021-0159"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/23322039.2022.2101222"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s22239461"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/s40854-022-00332-x"},{"key":"ref33","first-page":"1","article-title":"Cyber-risk forecasting using machine learning models and generalized extreme value distributions","volume":"1","author":"Kamdem","year":"2022","journal-title":"Hal Sci."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm15110536"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/23322039.2022.2153412"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3190897"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s42484-024-00143-6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/math11051184"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110888"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.107734"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/s23187788"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-021-06147-9"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-022-00987-w"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3148298"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2022.07.034"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2021.1915892"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/0952813x.2021.1907795"},{"key":"ref48","article-title":"Quantitative risk management: Concepts, techniques and tools, Revised edition","volume-title":"Princeton Series in Finance","author":"McNeil","year":"2015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ares.2015.17"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2023.104426"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3305255"},{"key":"ref52","first-page":"339","article-title":"Credit card fraud detection using logistic regression with imbalanced dataset","volume-title":"Proc. 10th Int. Conf. Comput. Sustain. Global Develop. (INDIACom)","author":"Mahajan"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2022.101744"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00573-8"},{"issue":"1S","key":"ref55","first-page":"2172","article-title":"Novel logistic regression over Naive Bayes improves accuracy in credit card fraud detection","volume":"10","author":"Atchaya","year":"2023","journal-title":"J. Surv. Fisheries Sci."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s44230-022-00004-0"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2021.04.228"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3905\/jod.1995.407942"},{"key":"ref59","article-title":"Transferable adversarial robustness for categorical data via universal robust embeddings","author":"Kireev","year":"2023","journal-title":"arXiv:2306.04064"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10507824.pdf?arnumber=10507824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T17:30:05Z","timestamp":1715362205000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10507824\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3393154","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}