{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T19:00:55Z","timestamp":1769540455485,"version":"3.49.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2019YFE0118500"],"award-info":[{"award-number":["2019YFE0118500"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006233"],"award-info":[{"award-number":["62006233"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Competition Mechanism to Select the Best Candidates Fundation of Shanxi Province","award":["20201101005"],"award-info":[{"award-number":["20201101005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tai.2024.3491948","type":"journal-article","created":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T13:48:41Z","timestamp":1730900921000},"page":"725-737","source":"Crossref","is-referenced-by-count":2,"title":["Deep Feature Unsupervised Domain Adaptation for Time-Series Classification"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8164-7751","authenticated-orcid":false,"given":"Nannan","family":"Lu","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5392-4819","authenticated-orcid":false,"given":"Tong","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5228-9406","authenticated-orcid":false,"given":"Song","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Mathematics, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1285-3743","authenticated-orcid":false,"given":"Jiansheng","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2964-4884","authenticated-orcid":false,"given":"Min","family":"Han","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3059652"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2020.08.019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9648-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403228"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3302506.3310391"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2020.3027279"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01637"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8621990"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2018.8444572"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-022-00898-y"},{"key":"ref16","article-title":"Cross-subject domain adaptation for classifying working memory load with multi-frame EEG images","author":"Chen","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3445033"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3219896"},{"key":"ref19","article-title":"Domain adaptation under behavioral and temporal shifts for natural time series mobile activity recognition","author":"Wilson","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3265689.3265705"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403228"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3298346"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947501"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3045002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3168903"},{"key":"ref26","first-page":"10280","article-title":"Domain adaptation for time series forecasting via attention sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jin","year":"2022"},{"key":"ref27","first-page":"1214","article-title":"Optimal kernel choice for large-scale two-sample tests","volume":"25","author":"Gretton","year":"2012","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref28","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref29","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2015"},{"key":"ref30","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01247"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01636"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00072"},{"key":"ref35","first-page":"22968","article-title":"Cycle self-training for domain adaptation","volume":"34","author":"Liu","year":"2021","journal-title":"Adv. Neur. Inf. Process. Syst."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00844"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_1"},{"key":"ref38","article-title":"Multi-scale convolutional neural networks for time series classification","author":"Cui","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18178\/ijfcc.2017.6.3.503"},{"key":"ref40","article-title":"Variational recurrent adversarial deep domain adaptation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Purushotham","year":"2016"},{"key":"ref41","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16846"},{"key":"ref43","article-title":"Unsupervised representation learning by predicting image rotations","volume-title":"Proc. 6th Int. Conf. Learn. Represent. (ICLR)","author":"Gidaris","year":"2018"},{"key":"ref44","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume":"33","author":"Xie","year":"2020","journal-title":"Adv. Neur. Inf. Process. Syst."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref46","article-title":"Semi-supervised learning by entropy minimization","volume":"17","author":"Grandvalet","year":"2004","journal-title":"Adv. Neur. Inf. Process. Syst."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01139"},{"key":"ref48","first-page":"3030","article-title":"Learning what and where to transfer","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jang","year":"2019"},{"key":"ref49","article-title":"Bearings data center seeded fault test data"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2018.11.019"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.10.039"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.12.014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxt075"},{"key":"ref55","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00400"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6091"},{"issue":"1","key":"ref58","first-page":"3221","article-title":"Accelerating t-sne using tree-based algorithms","volume":"15","author":"Maaten","year":"2014","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/10918873\/10746385.pdf?arnumber=10746385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:10:00Z","timestamp":1769494200000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10746385\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3491948","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}