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Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
Cross-subject variability problems hinder practical usages of Brain-Computer Interfaces. Recently, deep learning has been introduced into the BCI community due to its better generalization and feature representation abilities. However, most studies currently only have validated deep learning models...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020-04-01
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| シリーズ: | Frontiers in Human Neuroscience |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/article/10.3389/fnhum.2020.00103/full |
| タグ: |
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