[HTML][HTML] Data augmentation for EEG-based emotion recognition using generative adversarial networks
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - frontiersin.org
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
G Bao, B Yan, L Tong, J Shu… - Frontiers in …, 2021 - pubmed.ncbi.nlm.nih.gov
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …
[HTML][HTML] Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - ncbi.nlm.nih.gov
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …
[引用][C] Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - jglobal.jst.go.jp
Bao G., Zhuang N., Tong L., Yan B., Shu J., Wang L., et al (2021). Two-level domain
adaptation neural network for EEG-based emotion recognition. Front. Hum. Neurosci. 14 …
adaptation neural network for EEG-based emotion recognition. Front. Hum. Neurosci. 14 …
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks.
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - europepmc.org
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks.
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - search.ebscohost.com
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
G Bao, B Yan, L Tong, J Shu, L Wang… - Frontiers in …, 2021 - search.proquest.com
One of the greatest limitations in the field of EEG-based emotion recognition is the lack of
training samples, which makes it difficult to establish effective models for emotion …
training samples, which makes it difficult to establish effective models for emotion …