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In-Nea Wang
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2020 – today
- 2024
- [j1]In-Nea Wang
, Choel-Hui Lee
Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. IEEE Access 12: 132714-132728 (2024) - [c6]Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim
Enhancing Everyday Seizure Detection: A Channel Reduction Approach. BCI 2024: 1-4 - 2021
- [c5]Minkyung Jung, Seho Lee
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface. BCI 2021: 1-4 - 2020
- [c4]Hyun-Ji Kim, In-Nea Wang, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim:
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain. BCI 2020: 1-4 - [c3]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
2010 – 2019
- 2019
- [c2]Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. BCI 2019: 1-4 - 2018
- [c1]In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim:
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics. BCI 2018: 1-2
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last updated on 2024-10-23 20:32 CEST by the dblp team
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