Seizure Prediction On Melbourne University
Metrics
AUC
Results
Performance results of various models on this benchmark
Model Name | AUC | Paper Title | Repository |
|---|---|---|---|
| CNN+FCN | 0.84 | Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction | - |
| CNN | 0.591 | Convolutional Neural Networks for Epileptic Seizure Prediction | - |
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