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

      Autthasan, P; Chaisaen, R; Sudhawiyangkul, T; Rangpong, P; Kiatthaveephong, S; Dilokthanakul, N; Bhakdisongkhram, G; Phan, H; Guan, C; Wilaiprasitporn, T (2022-06)
      OBJECTIVE: Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow control of several applications by decoding neurophysiological phenomena, which are usually recorded by electroencephalography (EEG) ...