A review arguing that Kolmogorov-Arnold Networks address key limitations of deep learning models for EEG-based seizure detection through improved interpretability and efficiency.
Gradient boosting machine: a survey.arXiv preprint arXiv:1908.06951, 2019
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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.