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3. Python scripts used to develop the methodology proposed in "Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models".

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4. Scripts and convolutional autoencoder model used for applying transfer learning in seizure prediction

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6. Notebooks developed in the World Data League 2022

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