In-Nea Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 6

Top Topics

Convolutional Neural Network

Online Training

Top Venues

Publications

Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
Enhancing Everyday Seizure Detection: A Channel Reduction Approach. BCI (2024)
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)