Dae-Hyeok Lee - RankMe

39 papers B 4Journal 20Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model. BCI Sung-Jin Kim, Dae-Hyeok Lee, Hyeon-Taek Han
2025	—	`conf`	Decoding Fatigue Levels of Pilots using EEG Signals with Hybrid Deep Neural Networks. BCI Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
2025	—	`conf`	Feature Selection via Dynamic Graph-Based Attention Block in MI-Based EEG Signals. BCI Hyeon-Taek Han, Dae-Hyeok Lee, Heon-Gyu Kwak
2025	—	`conf`	Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination. BCI Si-Hyun Kim, Sung-Jin Kim, Dae-Hyeok Lee
2024	—	`conf`	A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. BCI Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong
2024	B	`conf`	Adaptive Integrating General and Personalized Features for Enhanced Decoding of Motor Imagery EEG Signals via HyperNet-Based Module. SMC Si-Hyun Kim, Sung-Jin Kim, Dae-Hyeok Lee, Heon-Gyu Kwak, Seong-Whan Lee
2024	J	`jnl`	Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model. CoRR Sung-Jin Kim, Dae-Hyeok Lee, Hyeon-Taek Han
2024	—	`conf`	Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. BCI Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
2024	J	`jnl`	Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks. CoRR Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
2024	J	`jnl`	Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals. CoRR Hyeon-Taek Han, Dae-Hyeok Lee, Heon-Gyu Kwak
2024	J	`jnl`	Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination. CoRR Si-Hyun Kim, Sung-Jin Kim, Dae-Hyeok Lee
2024	—	`conf`	Proxy-based Masking Module for Revealing Relevance of Characteristics in Motor Imagery. EMBC Hyeon-Taek Han, Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee
2023	J	`jnl`	A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. CoRR Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee
2023	J	`jnl`	Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. IEEE Trans. Syst. Man Cybern. Syst. Dae-Hyeok Lee, Ji-Hoon Jeong, Baek-Woon Yu, Tae-Eui Kam, Seong-Whan Lee
2023	—	`conf`	Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. BCI Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
2023	—	`conf`	CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. BCI Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
2023	J	`jnl`	Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. CoRR Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee
2023	B	`conf`	TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. SMC Dae-Hyeok Lee, Sung-Jin Kim, Hyeon-Taek Han, Seong-Whan Lee
2022	B	`conf`	An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm. SMC Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee
2022	J	`jnl`	Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. CoRR Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
2022	J	`jnl`	CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. CoRR Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
2022	—	`conf`	Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. BCI Hyung-Ju Ahn, Dae-Hyeok Lee
2022	—	`conf`	Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. BCI Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee
2022	—	`conf`	Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. EMBC Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
2022	J	`jnl`	Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. CoRR Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
2022	J	`jnl`	Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals. IEEE Access Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee
2021	J	`jnl`	DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. CoRR Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
2021	J	`jnl`	Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. CoRR Hyung-Ju Ahn, Dae-Hyeok Lee
2021	J	`jnl`	Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. CoRR Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee
2021	—	`conf`	Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. BCI Dae-Hyeok Lee, Ji-Hoon Jeong, Hyung-Ju Ahn, Seong-Whan Lee
2021	B	`conf`	Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. SMC Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee
2021	J	`jnl`	Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. CoRR Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee
2021	J	`jnl`	Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. CoRR Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee
2020	J	`jnl`	Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. IEEE Access Dae-Hyeok Lee, Ji-Hoon Jeong, Kiduk Kim, Baek-Woon Yu, Seong-Whan Lee
2020	J	`jnl`	Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. CoRR Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong, Seong-Whan Lee
2020	J	`jnl`	EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access Ji-Hoon Jeong, Byeong-Hoo Lee, Dae-Hyeok Lee, Yong-Deok Yun, Seong-Whan Lee
2020	—	`conf`	Towards Brain-Computer Interfaces for Drone Swarm Control. BCI Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee
2020	J	`jnl`	Towards Brain-Computer Interfaces for Drone Swarm Control. CoRR Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee
2019	—	`conf`	Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. ACPR (2) Baek-Woon Yu, Ji-Hoon Jeong, Dae-Hyeok Lee, Seong-Whan Lee