Dae-Hyeok Lee
Orcid: 0000-0002-2238-8910
According to our database1,
Dae-Hyeok Lee
authored at least 27 papers
between 2019 and 2024.
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Bibliography
2024
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model.
CoRR, 2024
CoRR, 2024
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks.
CoRR, 2024
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination.
CoRR, 2024
Adaptive Integrating General and Personalized Features for Enhanced Decoding of Motor Imagery EEG Signals via HyperNet-Based Module.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proxy-based Masking Module for Revealing Relevance of Characteristics in Motor Imagery.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images.
CoRR, 2023
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment.
CoRR, 2023
TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
2022
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals.
IEEE Access, 2022
An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks.
CoRR, 2021
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder.
CoRR, 2021
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network.
IEEE Access, 2020
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network.
IEEE Access, 2020
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019