Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
- Submitting institution
-
University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 107580299
- Type
- D - Journal article
- DOI
-
10.1016/j.neucom.2018.04.087
- Title of journal
- Neurocomputing
- Article number
- -
- First page
- 154
- Volume
- 343
- Issue
- -
- ISSN
- 0925-2312
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has led 2 keynote address invitations (from “International Conference on Soft Computing and Machine Learning”; “The 2nd International Conference on Machine Learning and Intelligent Systems 2020”).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
