{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:34:18Z","timestamp":1770845658161,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11343168","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"5210-5215","source":"Crossref","is-referenced-by-count":0,"title":["Electricity Theft Detection Method Based on Semi-Supervised Domain Adaptation with Minimax Entropy"],"prefix":"10.1109","author":[{"given":"Zhuoqun","family":"Xia","sequence":"first","affiliation":[{"name":"Changsha University of Science and Technology,College of Computer Science,Changsha,China,410076"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Qiu","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,College of Computer Science,Changsha,China,410076"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingjing","family":"Tan","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,College of Computer Science,Changsha,China,410076"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ze","family":"Su","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,College of Computer Science,Changsha,China,410076"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutong","family":"Xie","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,College of Computer Science,Changsha,China,410076"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.121914"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2024.123228"},{"key":"ref3","article-title":"Electricity theft and non-technical losses","author":"Group","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2896381"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3048784"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2785963"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2022.3196403"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3290974"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3291769"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2023.109059"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2023.05.006"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3470061"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3114307"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2024.3375939"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2425222"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.35833\/MPCE.2022.000680"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2023.109570"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2022.108642"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3179243"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3297588"},{"key":"ref21","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Int. Conf. Mach. Learn","author":"Long"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11343168.pdf?arnumber=11343168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:51:21Z","timestamp":1770843081000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11343168\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11343168","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}