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20182024
most citedMIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

190 citations · 1.4k across the 27 of their papers we have counts for

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Showing 2024 · cs.LGShow all

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cs.LG2024★ 24 cited

MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification

Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan +2

Recent advances in deep learning (DL) have significantly impacted motor imagery (MI)-based brain-computer interface (BCI) systems, enhancing the decoding of electroencephalography…