1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition
Shadi Sartipi, Mastaneh Torkamani-Azar, Mujdat Cetin
Recently, physiological data such as electroencephalography (EEG) signals have attracted significant attention in affective computing. In this context, the main goal is to design a…
eess.SP2019
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task
Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin +1
Resting-state brain networks represent the intrinsic state of the brain during the majority of cognitive and sensorimotor tasks. However, no study has yet presented concise predict…