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In-Nea Wang
Publication Activity (10 Years)
Years Active: 2018-2021
Publications (10 Years): 5
Top Topics
Motor Imagery
Sleep Stage
Deep Learning
Computed Tomography
Top Venues
BCI
ICTC
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Publications
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Minkyung Jung
,
Seho Lee
,
In-Nea Wang
,
Ha Yoon Song
,
Hakseung Kim
,
Dong-Joo Kim
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.
BCI
(2021)
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)
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)
Seung-Bo Lee
,
Hakseung Kim
,
Ji-Hoon Jeong
,
In-Nea Wang
,
Seong-Whan Lee
,
Dong-Joo Kim
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
BCI
(2019)
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)