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Found 2 papers, 1 papers with code
Deep Riemannian Networks for EEG Decoding
Our study aims to lay the groundwork in the area of these topics through the analysis of DRNs for EEG with a wide range of hyperparameters.
Machine-Learning-Based Diagnostics of EEG Pathology
The results demonstrate that the proposed feature-based decoding framework can achieve accuracies on the same level as state-of-the-art deep neural networks.
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