{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T02:02:32Z","timestamp":1772935352617,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11402449","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"2585-2590","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Fraud Detection Via Meta-Learning with KAN and Ensemble Strategies"],"prefix":"10.1109","author":[{"given":"Medabalimi Ravi","family":"Kumar","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Hyderabad,Hyderabad,India"}]},{"given":"Harshitha","family":"Munukoti","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Hyderabad,Hyderabad,India"}]},{"given":"Mohammed Hassan","family":"Khan","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Hyderabad,Hyderabad,India"}]},{"given":"Nikhil","family":"Gumasthi","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Hyderabad,Hyderabad,India"}]},{"given":"Pushpak","family":"Agarwal","sequence":"additional","affiliation":[{"name":"National Payments Corporation of India,Mumbai,India"}]},{"given":"Saurav","family":"Singla","sequence":"additional","affiliation":[{"name":"National Payments Corporation of India,Mumbai,India"}]},{"given":"Satyaprasad","family":"Rao","sequence":"additional","affiliation":[{"name":"National Payments Corporation of India,Mumbai,India"}]}],"member":"263","reference":[{"key":"ref1","year":"2008","journal-title":"About NPCI - Enabling digital payments in India \u2014 NPCI"},{"key":"ref2","year":"2024","journal-title":"UPI Market Share & Growth Statistics (2025) DemandSage, 2024"},{"key":"ref3","year":"2024","journal-title":"LocalCircles Survey Report, UPI Fraud Statistics, The Logical Indian, 2025"},{"key":"ref4","year":"2025","journal-title":"UPI Frauds: Common Types of UPI Scams and Prevention Methods \u2014 Razorpay"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1042727940"},{"key":"ref6","article-title":"A comprehensive survey of data mining-based fraud detection research","author":"Phua","year":"2010","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2015.01.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc8010006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.037"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46675-0_53"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref12","article-title":"Kan: Kolmogorov-arnold networks","author":"Liu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3485200"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/642"},{"key":"ref16","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"International conference on machine learning","author":"Finn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2991876"},{"key":"ref18","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018","journal-title":"arXiv preprint"},{"key":"ref19","article-title":"Meta-sgd: Learning to learn quickly for few-shot learning","author":"Li","year":"2017","journal-title":"arXiv preprint"},{"key":"ref20","article-title":"Probabilistic model-agnostic meta-learning","volume":"31","author":"Finn","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2432"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11402449.pdf?arnumber=11402449","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:30:40Z","timestamp":1772868640000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11402449\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11402449","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}