UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition Journal article
Chen, Chuangquan, Li, Zhencheng, Kou, Kit Ian, Du, Jie, Li, Chen, Wang, Hongtao, Vong, Chi Man. Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Chen, Chuangquan;  Li, Zhencheng;  Kou, Kit Ian;  Du, Jie;  Li, Chen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/5.7 | Submit date:2024/08/05
Multisource Learning  Multimodal Emotion Recognition  Cross-subject  Low-rank Multimodal Fusion  Domain Generalization  
Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition Journal article
Chen, Chuangquan, Li, Zhencheng, Wan, Feng, Xu, Leicai, Bezerianos, Anastasios, Wang, Hongtao. Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71, 2508215.
Authors:  Chen, Chuangquan;  Li, Zhencheng;  Wan, Feng;  Xu, Leicai;  Bezerianos, Anastasios; et al.
Favorite | TC[WOS]:34 TC[Scopus]:35  IF:5.6/5.6 | Submit date:2022/05/17
Approximate Empirical Kernel Map  Brain Connectivity Features  Cross-subject Emotion Recognition  Frequency-domain (Fd) Features  Fused Features  
Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain Journal article
Lin, Yuewei, Chen, Jing, Cao, Yu, Zhou, Youjie, Zhang, Lingfeng, Tang, Yuan Yan, Wang, Song. Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain[J]. IEEE Transactions on Cybernetics, 2017, 47(4), 1090-1101.
Authors:  Lin, Yuewei;  Chen, Jing;  Cao, Yu;  Zhou, Youjie;  Zhang, Lingfeng; et al.
Favorite | TC[WOS]:24 TC[Scopus]:24  IF:9.4/10.3 | Submit date:2018/10/30
Cross Domain Recognition  Joint Subspace  Unsupervised