{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:41:04Z","timestamp":1765305664404,"version":"3.46.0"},"reference-count":44,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/jbhi.2024.3513038","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T14:01:37Z","timestamp":1733752897000},"page":"1940-1949","source":"Crossref","is-referenced-by-count":2,"title":["AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5161-9852","authenticated-orcid":false,"given":"Wu","family":"Sun","sequence":"first","affiliation":[{"name":"Laboratory for Brain-Bionic Intelligence and Computational Neuroscience, Wuyi University, Jiangmen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5078-1712","authenticated-orcid":false,"given":"Junhua","family":"Li","sequence":"additional","affiliation":[{"name":"Singapore Institute for Neurotechnology, National University of Singapore, Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/14639220210123806"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3090217"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2913400"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.26599\/bsa.2020.9050020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph16152716"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS.2015.7459834"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2021.100575"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.4271\/2009-01-0545"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/iCoMET48670.2020.9073799"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.101989"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.04.034"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s20113169"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3019849"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2006.879600"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3241846"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci13091326"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105048"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121612"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126659"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3248101"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3140456"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3277867"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2989663"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3276515"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.11.013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"issue":"1","key":"ref28","first-page":"723","article-title":"A Kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2988928"},{"key":"ref30","first-page":"138","article-title":"Deep subdomain adaptation network improves cross-subject mental workload classification","volume-title":"Proc. Int. Conf. Cyberworlds","author":"Sun"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_28"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3307481"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107235"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref37","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Long"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3230250"},{"article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn.","author":"Lee","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3230479"},{"issue":"1","key":"ref43","first-page":"3221","article-title":"Accelerating t-SNE using tree-based algorithms","volume":"15","author":"Van Der Maaten","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref45","first-page":"1041","article-title":"Domain adaptation with multiple sources","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"21","author":"Mansour"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/10916525\/10787106.pdf?arnumber=10787106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:34:08Z","timestamp":1765305248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10787106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":44,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3513038","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}