most citedA Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition

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eess.SP2024

Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model

Shadi Sartipi, Mujdat Cetin

Automated emotion recognition using electroencephalogram (EEG) signals has gained substantial attention. Although deep learning approaches exhibit strong performance, they often su…

eess.SP2024

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification

Shadi Sartipi, Mujdat Cetin

Motor imagery (MI) classification based on electroencephalogram (EEG) is a widely-used technique in non-invasive brain-computer interface (BCI) systems. Since EEG recordings suffer…