Burcu Çarklı Yavuz

A comprehensive framework combining three architecturally distinct deep learning models — EEGNet, a CNN-LSTM hybrid, and a patch-based EEG Transformer — with six explainable artificial intelligence (XAI) methods spanning gradient-based, activation-based, activation-based, activation-based, activation-based, and perturbation-based paradigms is presented.