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dc.contributor.authorRaza, Hen
dc.contributor.authorRathee, Den
dc.contributor.authorZhou, Sen
dc.contributor.authorCecotti, Hen
dc.contributor.authorPrasad, Gen
dc.date.accessioned2022-11-07T12:01:46Z
dc.date.available2022-11-07T12:01:46Z
dc.date.issued2018-05-02en
dc.identifier.urihttp://hdl.handle.net/10026.1/19877
dc.language.isoenen
dc.relation.ispartofarXiven
dc.subjectNetworking and Information Technology R&Den
dc.subjectBioengineeringen
dc.titleCovariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interfaceen
dc.identifier.doi10.48550/arxiv.1805.01044en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/School of Nursing and Midwifery
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.48550/arxiv.1805.01044en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden


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