AliAmini93 / ADHDeepNetView on GitHub
ADHDeepNet 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.
48Jun 25, 2024Updated last year

Alternatives and similar repositories for ADHDeepNet

Users that are interested in ADHDeepNet are comparing it to the libraries listed below

Sorting:

Are these results useful?