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Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
2018
Joos Behncke
Robin Tibor Schirrmeister
Martin Völker
Jiří Hammer
Petr Marusič
Andreas Schulze-Bonhage
Wolfram Burgard
Tonio Ball
Keywords:
Decoding methods
Artificial intelligence
Machine learning
Data set
Convolutional neural network
Electroencephalography
Transfer of learning
Communication channel
Transferability
Pattern recognition
Mathematics
Correction
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