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Dae-Hyeok Lee
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2020 – today
- 2024
- [c13]Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong:
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. BCI 2024: 1-5 - [c12]Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim:
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. BCI 2024: 1-5 - 2023
- [j4]Dae-Hyeok Lee, Ji-Hoon Jeong, Baek-Woon Yu, Tae-Eui Kam, Seong-Whan Lee:
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6426-6437 (2023) - [c11]Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi:
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. BCI 2023: 1-4 - [c10]Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi:
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. BCI 2023: 1-4 - [c9]Dae-Hyeok Lee, Sung-Jin Kim, Hyeon-Taek Han, Seong-Whan Lee:
TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. SMC 2023: 4441-4446 - [i12]Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee:
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. CoRR abs/2312.09423 (2023) - [i11]Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. CoRR abs/2312.09446 (2023) - 2022
- [j3]Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee:
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals. IEEE Access 10: 96984-96996 (2022) - [c8]Hyung-Ju Ahn, Dae-Hyeok Lee:
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. BCI 2022: 1-5 - [c7]Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee:
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. BCI 2022: 1-4 - [c6]Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. EMBC 2022: 1977-1980 - [c5]Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee:
An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm. SMC 2022: 2281-2286 - [i10]Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. CoRR abs/2204.07362 (2022) - [i9]Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi:
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. CoRR abs/2212.06413 (2022) - [i8]Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi:
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. CoRR abs/2212.06830 (2022) - 2021
- [c4]Dae-Hyeok Lee, Ji-Hoon Jeong, Hyung-Ju Ahn, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. BCI 2021: 1-5 - [c3]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. SMC 2021: 3396-3401 - [i7]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. CoRR abs/2106.04026 (2021) - [i6]Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. CoRR abs/2107.07064 (2021) - [i5]Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. CoRR abs/2107.07335 (2021) - [i4]Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee:
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. CoRR abs/2112.06922 (2021) - [i3]Hyung-Ju Ahn, Dae-Hyeok Lee:
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. CoRR abs/2112.07148 (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]Dae-Hyeok Lee, Ji-Hoon Jeong, Kiduk Kim, Baek-Woon Yu, Seong-Whan Lee:
Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. IEEE Access 8: 121929-121941 (2020) - [c2]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. BCI 2020: 1-4 - [i2]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. CoRR abs/2002.00519 (2020) - [i1]Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. CoRR abs/2012.03507 (2020)
2010 – 2019
- 2019
- [c1]Baek-Woon Yu, Ji-Hoon Jeong, Dae-Hyeok Lee, Seong-Whan Lee:
Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. ACPR (2) 2019: 530-543
Coauthor Index
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last updated on 2024-04-24 22:54 CEST by the dblp team
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