Data leakage in deep learning studies of translational EEG
A growing number of studies apply deep neural networks (DNNs) to recordings of human electroencephalography (EEG) to identify a range of disorders. In many studies, EEG recordings are split into segments, and each segment is randomly assigned to the training or test set. As a consequence, data from...
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| Автори: | , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2024-05-01
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| Серія: | Frontiers in Neuroscience |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1373515/full |
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