ADHDeepNet
PublicADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
adhdcnndeep-learningeeg-signalseegnetinceptioninterpretabilitysqueeze-and-excitation-networkst-sneweight-visualization
Creat：2023-11-13T03:34:27
Update：2025-03-24T14:21:12
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