{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T07:02:22Z","timestamp":1782889342238,"version":"3.54.5"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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","award":["62136004"],"award-info":[{"award-number":["62136004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276130"],"award-info":[{"award-number":["62276130"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2023YFF1204803"],"award-info":[{"award-number":["2023YFF1204803"]}]},{"name":"Key Research and Development Plan of Jiangsu Province","award":["BE2022842"],"award-info":[{"award-number":["BE2022842"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tkde.2025.3621774","type":"journal-article","created":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T17:58:04Z","timestamp":1760983084000},"page":"290-306","source":"Crossref","is-referenced-by-count":1,"title":["Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2138-4395","authenticated-orcid":false,"given":"Mohamed","family":"Ragab","sequence":"first","affiliation":[{"name":"Propulsion and Space Research Center, Technology Innovation Institute, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2611-3145","authenticated-orcid":false,"given":"Peiliang","family":"Gong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9282-0991","authenticated-orcid":false,"given":"Emadeldeen","family":"Eldele","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Khalifa University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research (I<sup>2<\/sup>R), Agency for Science, Technology and Research (A*STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0977-3600","authenticated-orcid":false,"given":"Min","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research (I<sup>2<\/sup>R), Agency for Science, Technology and Research (A*STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4748-5792","authenticated-orcid":false,"given":"Chuan-Sheng","family":"Foo","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research (I<sup>2<\/sup>R), Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5658-7643","authenticated-orcid":false,"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0762-6562","authenticated-orcid":false,"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[{"name":"Information Systems Technology and Design, Singapore University of Technology and Design, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1719-0328","authenticated-orcid":false,"given":"Zhenghua","family":"Chen","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow, Glasgow, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3060037"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3144423"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3370978"},{"key":"ref4","first-page":"6028","article-title":"Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Liang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3110179"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3103390"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3070791"},{"key":"ref8","first-page":"799","article-title":"What went wrong and when? Instance-wise feature importance for time-series black-box models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tonekaboni"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00339"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00013"},{"key":"ref11","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref12","first-page":"3183","article-title":"Evidential deep learning to quantify classification uncertainty","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sensoy"},{"key":"ref13","volume-title":"Subjective Logic: A Formalism for Reasoning Under Uncertainty","author":"Jsang","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599507"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/378"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16846"},{"key":"ref17","first-page":"12746","article-title":"Domain adaptation for time series under feature and label shifts","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"He"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403228"},{"key":"ref19","first-page":"10280","article-title":"Domain adaptation for time series forecasting via attention sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jin"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3183252"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3293473"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26221"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3444904"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671721"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2864732"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00707"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/402"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00966"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00066"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06432-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19925"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635802"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.08.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01407"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413827"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295387"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20575"},{"key":"ref39","first-page":"12827","article-title":"Uncertainty aware semi-supervised learning on graph data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhao"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00684"},{"key":"ref41","first-page":"11710","article-title":"Balancing discriminability and transferability for source-free domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kundu"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00460"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_11"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00191"},{"key":"ref45","first-page":"14003","article-title":"Can you trust your model\u2019s uncertainty? evaluating predictive uncertainty under dataset shift","volume-title":"Proc. 33rd Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Ovadia"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1968.tb00722.x"},{"key":"ref47","first-page":"4694","article-title":"When does label smoothing help?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"M\u00fcller"},{"key":"ref48","first-page":"166","article-title":"A public domain dataset for human activity recognition using smartphones","volume-title":"Proc. Eur. Symp. Artif. Neural Netw.","author":"Anguita"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3076234"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.36001\/phme.2016.v3i1.1577"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809718"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3587937"},{"key":"ref55","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_8"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5745"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30671-7_6"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref60","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Long"},{"key":"ref61","first-page":"29393","article-title":"Exploiting the intrinsic neighborhood structure for source-free domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref62","first-page":"5802","article-title":"Attracting and dispersing: A simple approach for source-free domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref63","article-title":"SF(DA): Source-free domain adaptation through the lens of data augmentation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hwang"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11288926\/11208792.pdf?arnumber=11208792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T03:55:59Z","timestamp":1765425359000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11208792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":63,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3621774","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}