5 papers
Incomplete Depression Feature Selection with Missing EEG Channels
Zhijian Gong, Wenjia Dong, Xueyuan Xu +3
As a critical mental health disorder, depression has severe effects on both human physical and mental well-being. Recent developments in EEG-based depression analysis have shown pr…
ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
Xueyuan Xu, Tianze Yu, Wenjia Dong +2
Recently, multi-modal physiological signals based emotion recognition has garnered increasing attention in the field of brain-computer interfaces. Nevertheness, the associated mult…
REFS: Robust EEG feature selection with missing multi-dimensional annotation for emotion recognition
Xueyuan Xu, Wenjia Dong, Fulin Wei +1
The affective brain-computer interface is a crucial technology for affective interaction and emotional intelligence, emerging as a significant area of research in the human-compute…
CWEFS: Brain volume conduction effects inspired channel-wise EEG feature selection for multi-dimensional emotion recognition
Xueyuan Xu, Wenjia Dong, Fulin Wei +1
Due to the intracranial volume conduction effects, high-dimensional multi-channel electroencephalography (EEG) features often contain substantial redundant and irrelevant informati…
Embedded Multi-label Feature Selection via Orthogonal Regression
Xueyuan Xu, Fulin Wei, Tianyuan Jia +3
In the last decade, embedded multi-label feature selection methods, incorporating the search for feature subsets into model optimization, have attracted considerable attention in a…