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MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

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MIN2Net

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Corresponding leader:
Theerawit Wilaiprasitporn

Research:
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

Publication:
P. Autthasan et al., "MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2021.3137184

Tags: AI in Time Series, Biomedical Signal Processing, Brain-Computer Interfaces, EEG

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