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Tae-Eui Kam
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2020 – today
- 2025
- [j16]Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, Tae-Eui Kam:
Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface. Expert Syst. Appl. 264: 125832 (2025) - 2024
- [j15]Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam:
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces. Expert Syst. Appl. 238(Part E): 121986 (2024) - [j14]Junmo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam:
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. Expert Syst. Appl. 251: 123975 (2024) - [j13]Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam:
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation. IEEE J. Biomed. Health Informatics 28(3): 1504-1515 (2024) - [j12]Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. IEEE J. Biomed. Health Informatics 28(4): 2067-2078 (2024) - [j11]Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. IEEE J. Biomed. Health Informatics 28(4): 2282-2293 (2024) - [j10]Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, Tae-Eui Kam:
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis. IEEE J. Biomed. Health Informatics 28(5): 2967-2978 (2024) - [j9]Young-Han Son, Dong-Hee Shin, Tae-Eui Kam:
FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations. IEEE J. Biomed. Health Informatics 28(7): 4361-4372 (2024) - [j8]Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam:
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis. IEEE J. Biomed. Health Informatics 28(8): 4842-4853 (2024) - [j7]Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam:
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3084-3096 (2024) - [c17]Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Tae-Eui Kam:
Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface. BCI 2024: 1-4 - [c16]Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam:
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization. IJCAI 2024: 6026-6034 - [c15]Sanghyeon Cho, Bogyeong Kang, Keun-Soo Heo, EunJung Jo, Tae-Eui Kam:
Enhanced Structure Preservation and Multi-View Approach in Unsupervised Domain Adaptation for Optic Disc and Cup Segmentation. ISBI 2024: 1-5 - [i3]Jun-Young Oh, In-Gyu Lee, Tae-Eui Kam, Ji-Hoon Jeong:
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine. CoRR abs/2403.06471 (2024) - 2023
- [j6]Ji-Seon Bang, Dong-Ok Won, Tae-Eui Kam, Seong-Whan Lee:
Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 24(5): 5442-5455 (2023) - [j5]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) - [c14]Hyeonyeong Nam, Jun-Mo Kim, Tae-Eui Kam:
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification. BCI 2023: 1-3 - [c13]Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Da-Hyun Kim, Tae-Eui Kam:
SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification. SMC 2023: 4452-4457 - [i2]Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam:
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation. CoRR abs/2303.14998 (2023) - [i1]Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. CoRR abs/2308.14657 (2023) - 2022
- [j4]Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage 254: 119127 (2022) - [c12]Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam:
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification. BCI 2022: 1-5 - [c11]Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam:
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation. BrainLes@MICCAI (2) 2022: 100-108 - 2021
- [c10]Dong-Hee Ko, Dong-Hee Shin, Tae-Eui Kam:
Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification. BCI 2021: 1-4 - 2020
- [j3]Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen:
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging 39(2): 478-487 (2020) - [c9]Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c8]Eunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk:
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. MICCAI (7) 2020: 397-406
2010 – 2019
- 2019
- [c7]Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen:
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. MICCAI (4) 2019: 620-628 - [c6]Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen:
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) 2019: 754-762 - 2018
- [c5]Tae-Eui Kam, Han Zhang, Dinggang Shen:
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. MICCAI (3) 2018: 293-301 - 2013
- [j2]Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee:
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification. Neurocomputing 108: 58-68 (2013) - [c4]Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee:
Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces. BCI 2013: 26-28 - 2011
- [j1]Tae-Hoon Lee, Tae-Eui Kam, Sung-Phil Kim:
A hierarchical stimulus presentation paradigm for a P300-based Hangul speller. Int. J. Imaging Syst. Technol. 21(2): 131-138 (2011) - [c3]Tae-Eui Kam, Seong-Whan Lee:
Time-Dependent Common Spatial Patterns optimization for EEG signal classification. ACPR 2011: 643-646 - [c2]Tae-Eui Kam, Seong-Whan Lee:
Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification. PRNI 2011: 17-20 - [c1]Tae-Hoon Lee, Tae-Eui Kam, Sung-Phil Kim:
A P300-Based Hangul Input System with a Hierarchical Stimulus Presentation Paradigm. PRNI 2011: 21-24
Coauthor Index
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