IEEE TSMC

Pre-Estimation System of Falling Asleep Process Using Distribution-Based Deep Learning Model with Polysomnography

S.-W. Oh, Y.-S. Kweon, G.-H. Shin, S.-W. Lee

Towards Memory-Efficient Continual Adaptation for MI-EEG Decoding in BCIs

D. Li, H.-B. Shin, S.-W. Lee

Brain-Guided Self-Paced Curriculum Learning for Adaptive Human-Machine Interfaces

Y.-W. Choi, H.-B. Shin, S.-W. Lee

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Y. K. Kim, M.-J. Lee, S. Song, S.-W. Lee

MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI

Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, H.-J. Ahn, J.-H. Seo, Chang-Hoon Ji, Ji-Wung Han, B.-J. Lee, D.-O. Won, Tae-Eui Kam

MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI

Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam

Autonomous System for EEG-based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment

D.-H. Lee, J.-H. Jeong, B.-W. Yu, Tae-Eui Kam, S.-W. Lee

Autonomous System for EEG-based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment

D.-H. Lee, J.-H. Jeong, B.-W. Yu, T.-E. Kam, and S.-W. Lee