11 citations · 26 across the 6 of their papers we have counts for
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eess.SP2020★ 4 cited
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Yun Luo, Li-Zhen Zhu, Zi-Yu Wan +1
The data scarcity problem in emotion recognition from electroencephalography (EEG) leads to difficulty in building an affective model with high accuracy using machine learning algo…
eess.SP2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
Changde Du, Changying Du, Hao Wang +4
There are threefold challenges in emotion recognition. First, it is difficult to recognize human's emotional states only considering a single modality. Second, it is expensive to m…