MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification-Reference-Cited by-同舟云学术

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MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification

Published:2023-12 Issue:12 Volume:27 Page:5767-5778
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Miao Yifan¹,Jiang Wanqing¹,Su Nuo²,Shan Jun²,Jiang Tianzi¹^ORCID,Zuo Nianming¹^ORCID

Affiliation:

1. Brainnetome Center and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. College of Computer Science and Technology, Ocean University of China, Qingdao, China

Funder

Science and Technology Innovation 2030-Brain Science and Brain-Inspired Intelligence Project

National Natural Science Foundation of China

Science Frontier Program of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10345388/10251967.pdf?arnumber=10251967

Reference50 articles.

1. Parameterisation of a stochastic model for human face identification

2. Fingerprint identification using graph matching

3. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

4. Psychological phenomena and the electroencephalogram

5. Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?

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