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GITGAN: Generative inter-subject transfer for EEG motor imagery analysis
Kang Yin
, Elissa Yanting Lim
,
Seong Whan Lee
*
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Article
›
peer-review
30
Citations (Scopus)
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Keyphrases
Inter-subject
100%
Source Data
100%
Subject Transfer
100%
EEG Motor Imagery
100%
Imagery Analysis
100%
Brain-computer Interface
75%
Domain Adaptation
75%
Data Quality
50%
Valuable Insight
25%
Electroencephalography
25%
Motor Imagery
25%
Performance Enhancement
25%
Different Datasets
25%
Effective Method
25%
Data-centric
25%
Data Issues
25%
Subject-independent
25%
Data Distribution
25%
Non-intrusive
25%
Adaptation Approaches
25%
Independent Performance
25%
Network Architecture Design
25%
Subject Adaptation
25%
Computer Science
Computer Interface
100%
Domain Adaptation
100%
Network Architecture
33%
Effective Method
33%
Visual Analysis
33%
Target Distribution
33%
Data Distribution
33%
Architecture Design
33%
Enhance Performance
33%
Engineering
Motor Imagery
100%
Source Data
100%
Brain-Computer Interface
75%
Target Data
75%
Illustrates
25%
Limitations
25%