Optimizing Amount of Training Data and Classification Accuracy for Newly Measured Motor Imagery Using Fine-Tuning

Haruto Yagyu, Nobuaki Kobayashi. Optimizing Amount of Training Data and Classification Accuracy for Newly Measured Motor Imagery Using Fine-Tuning. In International Symposium on Image and Signal Processing and Analysis, ISPA 2023, Rome, Italy, September 18-19, 2023. pages 1-6, IEEE, 2023. [doi]

@inproceedings{YagyuK23,
  title = {Optimizing Amount of Training Data and Classification Accuracy for Newly Measured Motor Imagery Using Fine-Tuning},
  author = {Haruto Yagyu and Nobuaki Kobayashi},
  year = {2023},
  doi = {10.1109/ISPA58351.2023.10279756},
  url = {https://doi.org/10.1109/ISPA58351.2023.10279756},
  researchr = {https://researchr.org/publication/YagyuK23},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {International Symposium on Image and Signal Processing and Analysis, ISPA 2023, Rome, Italy, September 18-19, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-1536-3},
}