Deep feature extraction from EEG signals using xception model for emotion classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16941-2.pdf
Reference75 articles.
1. Zheng W-L, Zhu J-Y, Peng Y, LuB-L (2014) EEG-based emotion classification using deep belief networks,” in Multi-media and Expo (ICME), 2014 IEEE International Conference on, 1–6, IEEE
2. Bird J, Ekart A, Buckingham C, Faria D (2019) Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface
3. Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L. (2009) Imagenet: A large-scale hierarchical image database. IEEE conference on computer vision and pattern recognition pp. 248-255
4. Bird JJ, Ekart A, Buckingham CD, Faria DR (2019) Mental emotional sentiment classification with an eeg-based brain-machine interface, in The International Conference on Digital Image and Signal Processing (DISP’19), Springer
5. Bird JJ, Manso LJ, Ribiero EP, Ekart A, Faria DR (2018) A study on mental state classification using eeg-based brain-machine interface,in 9th International Conference on Intelligent Systems, IEEE
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