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2020 – today
- 2024
[c15]Dong-Kyun Han, Sung-Jin Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
EEG-Based Target Recognition for Multi-camera Surveillance Systems. BCI 2024: 1-5- [c14]Byeong-Hoo Lee, Byoung-Hee Kwon, Dong-Kyun Han:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. BCI 2024: 1-5 - [i14]Byeong-Hoo Lee, Kang Yin:
Towards a Network Expansion Approach for Reliable Brain-Computer Interface. CoRR abs/2411.11872 (2024) - 2023
- [j3]Ji-Hoon Jeong
, Jeong-Hyun Cho, Byeong-Hoo Lee, Seong-Whan Lee:
Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. IEEE Trans. Cybern. 53(12): 7469-7482 (2023) - [c13]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. BCI 2023: 1-5 - [c12]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. BCI 2023: 1-4 - [c11]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. BCI 2023: 1-4 - [c10]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. BCI 2023: 1-4 - [i13]Byeong-Hoo Lee, Byoung-Hee Kwon, Seong-Whan Lee:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. CoRR abs/2311.07079 (2023) - 2022
- [c9]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. BCI 2022: 1-5 - [c8]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho, Ji-Hoon Jeong:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. BCI 2022: 1-5 - [c7]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. BCI 2022: 1-5 - [c6]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. ICPR 2022: 1090-1097 - [i12]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. CoRR abs/2206.08494 (2022) - [i11]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. CoRR abs/2211.13366 (2022) - [i10]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. CoRR abs/2212.00723 (2022) - [i9]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. CoRR abs/2212.07083 (2022) - [i8]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. CoRR abs/2212.08122 (2022) - 2021
- [c5]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. BCI 2021: 1-4 - [c4]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. BCI 2021: 1-5 - [i7]Byoung-Hee Kwon, Jeong-Hyun Cho, Byeong-Hoo Lee:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. CoRR abs/2112.06429 (2021) - [i6]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. CoRR abs/2112.07943 (2021) - [i5]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. CoRR abs/2112.08175 (2021) - 2020
- [j2]Ji-Hoon Jeong, Byeong-Hoo Lee, Dae-Hyeok Lee, Yong-Deok Yun, Seong-Whan Lee:
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access 8: 66941-66950 (2020) - [j1]Byeong-Hoo Lee, Ji-Hoon Jeong, Seong-Whan Lee:
SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification. IEEE Access 8: 134524-134535 (2020) - [c3]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. BCI 2020: 1-5 - [c2]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. ICASSP 2020: 1359-1363 - [i4]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network. CoRR abs/2002.00210 (2020) - [i3]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. CoRR abs/2002.01122 (2020) - [i2]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. CoRR abs/2012.03617 (2020) - [i1]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. CoRR abs/2012.03632 (2020)
2010 – 2019
- 2019
- [c1]Kyung-Hwan Shim, Ji-Hoon Jeong, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. SMC 2019: 2785-2790
Coauthor Index
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