CASIA OpenIR

浏览/检索结果: 共61条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning 期刊论文
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:  Liu, Jing-Jing;  Yao, Jie-Peng;  Liu, Jin-Hang;  Wang, Zhong-Yi;  Huang, Lan
收藏  |  浏览/下载:11/0  |  提交时间:2024/03/27
Missing time series data  Small samples  Imputation  Classification  Gradient penalized adversarial Multitasking  
EEG-FRM: a neural network based familiar and unfamiliar face EEG recognition method 期刊论文
COGNITIVE NEURODYNAMICS, 2024, 页码: 14
作者:  Chen, Chao;  Fan, Lingfeng;  Gao, Ying;  Qiu, Shuang;  Wei, Wei;  He, Huiguang
收藏  |  浏览/下载:13/0  |  提交时间:2024/03/27
Familiar/unfamiliar face recognition  Electroencephalogram (EEG)  Convolutional neural network  Attention module  Supervised contrastive learning  
MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778
作者:  Miao, Yifan;  Jiang, Wanqing;  Su, Nuo;  Shan, Jun;  Jiang, Tianzi;  Zuo, Nianming
收藏  |  浏览/下载:15/0  |  提交时间:2024/03/26
Electroencephalography  Feature extraction  Task analysis  Support vector machines  Recording  Motion pictures  Brain modeling  EEG  biometric  across mental states  across time  deep learning  domain adaptation  
\MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Ning, Xiaojun;  Wang, Jing;  Lin, Youfang;  Cai, Xiyang;  Chen, Haobin;  Gou, Haijun;  Li, Xiaoli;  Jia, Ziyu
收藏  |  浏览/下载:5/0  |  提交时间:2024/03/26
Affective computing  attention mechanism  electroencephalogram (EEG)  emotion recognition  meta-learning  
BiTCAN: A emotion recognition network based on saliency in brain 期刊论文
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 卷号: 20, 期号: 12, 页码: 21537-21562
作者:  An, Yanling;  Hu, Shaohai;  Liu, Shuaiqi;  Li, Bing
收藏  |  浏览/下载:6/0  |  提交时间:2024/03/26
EEG  emotion recognition  spatio-temporal features  Bi-hemispheric discrepancy  spatial attention  attention mechanism  
Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping 期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 16
作者:  Wei, Shiyuan;  Jiang, Anqi;  Sun, Hongji;  Zhu, Jingjun;  Jia, Shengyi;  Liu, Xiaojun;  Xu, Zheng;  Zhang, Jing;  Shang, Yuanyuan;  Fu, Xuefeng;  Li, Gen;  Wang, Puxin;  Xia, Zhiyuan;  Jiang, Tianzi;  Cao, Anyuan;  Duan, Xiaojie
收藏  |  浏览/下载:49/0  |  提交时间:2024/03/13
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 12
作者:  Liu, Shuaiqi;  Wang, Zeyao;  An, Yanling;  Li, Bing;  Wang, Xinrui;  Zhang, Yudong
收藏  |  浏览/下载:24/0  |  提交时间:2024/02/22
EEG emotion recognition  Capsule network  Adversarial domain adaptation  Transfer learning  
EEGNet-based multi-source domain filter for BCI transfer learning 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 页码: 12
作者:  Li, Mengfan;  Li, Jundi;  Song, Zhiyong;  Deng, Haodong;  Xu, Jiaming;  Xu, Guizhi;  Liao, Wenzhe
收藏  |  浏览/下载:27/0  |  提交时间:2024/02/22
Brain-computer interface  Multi-source domain filter  Transfer learning  Ensemble learning  EEGNet  
Differential effects of specific emotions on spatial decision-making: evidence from cross-frequency functionally independent brain networks 期刊论文
CEREBRAL CORTEX, 2024, 页码: 12
作者:  Zhao, Yanyan;  Wang, Danli;  Wang, Xinyuan;  Jin, Qiao;  Gao, Xuange
收藏  |  浏览/下载:42/0  |  提交时间:2024/02/21
emotion  EEG  decision-making  spectral-spatial network  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
收藏  |  浏览/下载:44/0  |  提交时间:2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism