A review arguing that Kolmogorov-Arnold Networks address key limitations of deep learning models for EEG-based seizure detection through improved interpretability and efficiency.
Objective evaluation metrics for automatic classification of eeg events.arXiv preprint arXiv:1712.10107, 2017
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From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks
A review arguing that Kolmogorov-Arnold Networks address key limitations of deep learning models for EEG-based seizure detection through improved interpretability and efficiency.