Transfer Learning With Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-Centre Data

Machine learning and deep learning advancements have boosted Brain-Computer Interface (BCI) performance, but their wide-scale applicability is limited due to factors like individual health, hardware variations, and cultural differences affecting neural data. Studies often focus on uniform single-sit...

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Main Authors: Christian Flores (Author), Marcelo Contreras (Author), Ichiro Macedo (Author), Javier Andreu-Perez (Author)
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出版: IEEE, 2024-01-01T00:00:00Z.
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索引號: A1234.567
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