GenEmo-Net: Generalizable Emotion Recognition Using Brain Functional Connections Based Neural Network

Author:

Srivastava Varad,Ruchilekha ,Singh Manoj Kumar

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144–152 (1992)

2. Cui, G., Li, X., Touyama, H.: Emotion recognition based on group phase locking value using convolutional neural network. Sci. Rep. 13(1), 3769 (2023)

3. Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)

4. Gupta, A., et al.: Morphological brain measures of cortico-limbic inhibition related to resilience. J. Neurosci. Res. 95(9), 1760–1775 (2017)

5. Jinliang, G., Fang, F., Wang, W., Ren, F.: EEG emotion recognition based on granger causality and capsnet neural network. In: 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 47–52. IEEE (2018)

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