{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T00:22:43Z","timestamp":1779236563749,"version":"3.51.4"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["61876082"],"award-info":[{"award-number":["61876082"]}],"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":["61732006"],"award-info":[{"award-number":["61732006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC2001600"],"award-info":[{"award-number":["2018YFC2001600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC2001602"],"award-info":[{"award-number":["2018YFC2001602"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic Research Funding of China","award":["3082020NZ2020018"],"award-info":[{"award-number":["3082020NZ2020018"]}]},{"DOI":"10.13039\/501100001809","name":"Research Fund for International Young Scientists through NSFC","doi-asserted-by":"publisher","award":["62050410348"],"award-info":[{"award-number":["62050410348"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3276515","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T18:31:51Z","timestamp":1687804311000},"page":"1-12","source":"Crossref","is-referenced-by-count":29,"title":["Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0971-9428","authenticated-orcid":false,"given":"Yueying","family":"Zhou","sequence":"first","affiliation":[{"name":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8414-8146","authenticated-orcid":false,"given":"Pengpai","family":"Wang","sequence":"additional","affiliation":[{"name":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2611-3145","authenticated-orcid":false,"given":"Peiliang","family":"Gong","sequence":"additional","affiliation":[{"name":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1962-0675","authenticated-orcid":false,"given":"Fulin","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, EngineeringResearch Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2230-8658","authenticated-orcid":false,"given":"Xuyun","family":"Wen","sequence":"additional","affiliation":[{"name":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2377-6093","authenticated-orcid":false,"given":"Xia","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, EngineeringResearch Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5658-7643","authenticated-orcid":false,"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph16152716"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174010"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2782483"},{"key":"ref59","first-page":"1640","article-title":"Conditional adversarial domain adaptation","author":"long","year":"2018","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2018.08.028"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.05.020"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/S0166-4115(08)62386-9","article-title":"Development of NASA-TLX (task load index): Results of empirical and theoretical research","volume":"52","author":"hart","year":"1988","journal-title":"Advances in Psychology"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3092206"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2701002"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2018.11.052"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2913400"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.03.032"},{"key":"ref51","year":"2021","journal-title":"Passive BCI Hackathon&#x2014;Neuroergonomics"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1177\/1536867X1501500117"},{"key":"ref46","first-page":"2030","article-title":"Domain adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3140456"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3010780"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2884641"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2989663"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2019.2949306"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868685"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1080\/00220973.1993.9943832"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2584042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2582490"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32423-0_11"},{"key":"ref4","article-title":"Cross-task and cross-participant classification of cognitive load in an emergency simulation game","author":"appel","year":"2021","journal-title":"IEEE Trans Affect Comput"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2694856"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/14639220210123806"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2015.10.004"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3167013"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s18051339"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.002"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3150007"},{"key":"ref31","article-title":"Learning representations from EEG with deep recurrent-convolutional neural networks","author":"bashivan","year":"2015","journal-title":"arXiv 1511 06448"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3170427.3188617"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2966834"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.12.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3090217"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3019849"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2885474"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.07.094"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103289"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174949"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2441960"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s21206710"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref63","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10111-017-0425-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2020.101157"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SPMB.2015.7405422"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2015.2476818"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/app9245340"},{"key":"ref60","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"},{"key":"ref62","first-page":"1","article-title":"Wilcoxon signed-rank test","author":"woolson","year":"2007","journal-title":"Wiley Encyclopedia of Clinical Trials"},{"key":"ref61","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10163950.pdf?arnumber=10163950","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T17:42:17Z","timestamp":1689615737000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10163950\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3276515","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}