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2020 – today
- 2025
[j4]Choel-Hui Lee
, Daesun Ahn, Hakseung Kim, Eun Jin Ha, Jung-Bin Kim, Dong-Joo Kim:
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application. Expert Syst. Appl. 261: 125364 (2025)- 2024
- [j3]In-Nea Wang, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim:
Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. IEEE Access 12: 132714-132728 (2024) - 2023
- [j2]Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification. J. Ambient Intell. Humaniz. Comput. 14(6): 8067-8083 (2023) - [j1]Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
Correction to: SleepExpertNet: high‑performance and class‑balanced deep learning approach inspired from the expert neurologists for sleep stage classification. J. Ambient Intell. Humaniz. Comput. 14(6): 8085 (2023) - [c4]Donghyeok Jo, Choel-Hui Lee, Hakseung Kim, Hayom Kim, Jung-Bin Kim, Dong-Joo Kim:
EEG-Based Multioutput Classification of Sleep Stage and Apnea Using Deep Learning. BCI 2023: 1-4 - 2021
- [c3]Choel-Hui Lee, Hyun-Ji Kim, Jae-Wook Heo, Hakseung Kim, Dong-Joo Kim:
Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending. BCI 2021: 1-5 - 2020
- [c2]In-Nea Wang, Choel-Hui Lee, Hyun-Ji Kim, Hakseung Kim, Dong-Joo Kim:
An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG. ICTC 2020: 394-398 - [c1]Seho Lee, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim:
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification. SMC 2020: 2502-2505
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