Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.

Lee PL, Chen SH, Chang TC, Lee WK, Hsu HT, Chang HH

Open source

DOI
10.3390/bioengineering10020186
Published
2023 Feb 1
Container
Bioengineering (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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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

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