CLA-Net: A Deep Spatio-Temporal Attention Network Based on ConvLSTM for EEG Emotion Recognition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0855-0_46
Reference17 articles.
1. Liu, S., Zhao, Y., An, Y., Zhao, J., Wang, S., Yan, J.: GLFANet: a global to local feature aggregation network for EEG emotion recognition. Biomed. Signal Process. Control 85, 104799 (2023)
2. Liu, S., Wang, Z., An, Y., Zhao, J., Zhao, Y., Zhang, Y.: EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network. Knowl. Based Syst. 265, 110372 (2023)
3. An, Y., Hu, S., Duan, X., Zhao, L., Xie, C., Zhao, Y.: Electroencephalogram emotion recognition based on 3D feature fusion and convolutional autoencoder. Front. Comput. Neurosci. 15, 743426 (2021)
4. Yang, H., Han, J., Min, K.: A multi-column CNN model for emotion recognition from EEG signals. Sensors 19(21), 4736 (2019)
5. Khare, S.K., Bajaj, V.: Time–frequency representation and convolutional neural network-based emotion recognition. IEEE Trans. Neural Netw. Learn. Syst. 32(7), 2901–2909 (2020)
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