Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.
- DOI
- 10.3390/bioengineering10020186
- Published
- 2023 Feb 1
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering10020186,
title = {Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.},
author = {Lee PL and Chen SH and Chang TC and Lee WK and Hsu HT and Chang HH},
year = {2023},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering10020186},
url = {https://doi.org/10.3390/bioengineering10020186}
}RIS
TY - JOUR TI - Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification. AU - Lee PL AU - Chen SH AU - Chang TC AU - Lee WK AU - Hsu HT AU - Chang HH PY - 2023 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering10020186 UR - https://doi.org/10.3390/bioengineering10020186 ER -
APA
PL, L., SH, C., TC, C., WK, L., HT, H., & HH, C. (2023). Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering10020186
Source records
- pubmed · retrieved 2026-09-27T07:21:42.746Z