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Deep James-Stein Neural Networks For Brain-Computer Interfaces

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IEEE ICASSP 2020 Virtual Conference May 2020

Nonparametric regression has proven to be successful in extracting features from limited data in neurological applications. However, due to data scarcity, most brain-computer interfaces still rely on linear classifiers. This work leverages the robustness

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Deep James-Stein Neural Networks For Brain-Computer Interfaces

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Nonparametric regression has proven to be successful in extracting features from limited data in neurological applications. However, due to data scarcity, most brain-computer interfaces still rely on linear classifiers. This work leverages the robustness