Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Asadzadeh, S., Rezaii, T.Y., Beheshti, S., et al.: Accurate emotion recognition utilizing extracted EEG sources as graph neural network nodes. Cogn. Comput. 15(1), 176–189 (2023)
2. Bao, G., Yang, K., Tong, L., et al.: Linking multi-layer dynamical GCN with style-based recalibration CNN for EEG-based emotion recognition. Front. Neurorobot. 16, 834952 (2022)
3. Chakravarthi, B., Ng, S.C., Ezilarasan, M., et al.: EEG-based emotion recognition using hybrid CNN and LSTM classification. Front. Comput. Neurosci. 16, 1019776 (2022)
4. Chang, H., Zong, Y., Zheng, W., et al.: Depression assessment method: an EEG emotion recognition framework based on spatiotemporal neural network. Front. Psychol. 12, 837149 (2022)
5. Cizmeci, H., Ozcan, C.: Enhanced deep capsule network for EEG-based emotion recognition. SIViP 17(2), 463–469 (2023)