dc.contributor.author | Chen, Peiyin | |
dc.contributor.author | Wang, He | |
dc.contributor.author | Sun, Xinlin | |
dc.contributor.author | Li, Haoyu | |
dc.contributor.author | Grebogi, Celso | |
dc.contributor.author | Gao, Zhongke | |
dc.date.accessioned | 2023-02-05T00:13:28Z | |
dc.date.available | 2023-02-05T00:13:28Z | |
dc.date.issued | 2022-10 | |
dc.identifier | 219827692 | |
dc.identifier | 067a09d0-b333-4f88-994c-dbfadb9bfab8 | |
dc.identifier | 36194720 | |
dc.identifier | 85140416346 | |
dc.identifier.citation | Chen , P , Wang , H , Sun , X , Li , H , Grebogi , C & Gao , Z 2022 , ' Transfer Learning with Optimal Transportation and Frequency Mixup for EEG-based Motor Imagery Recognition ' , IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol. 30 , pp. 2866-2875 . https://doi.org/10.1109/tnsre.2022.3211881 | en |
dc.identifier.issn | 1558-0210 | |
dc.identifier.other | unpaywall: 10.1109/tnsre.2022.3211881 | |
dc.identifier.other | ORCID: /0000-0002-9811-4617/work/120621591 | |
dc.identifier.uri | http://aura-test.abdn.ac.uk/handle/2164/19423 | |
dc.format.extent | 10 | |
dc.format.extent | 3032602 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Transactions on Neural Systems and Rehabilitation Engineering | en |
dc.subject | electroencephalogram (EEG) | en |
dc.subject | brain-computer interface (BCI) | en |
dc.subject | transfer learning | en |
dc.subject | optimal transportation | en |
dc.subject | QC Physics | en |
dc.subject.lcc | QC | en |
dc.title | Transfer Learning with Optimal Transportation and Frequency Mixup for EEG-based Motor Imagery Recognition | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
dc.contributor.institution | University of Aberdeen.Physics | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | https://doi.org/10.1109/tnsre.2022.3211881 | |
dc.identifier.vol | 30 | en |