Tae-Eui Kam
Orcid: 0000-0002-6677-7176
According to our database1,
Tae-Eui Kam
authored at least 34 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface.
Expert Syst. Appl., 2025
2024
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis.
IEEE J. Biomed. Health Informatics, August, 2024
IEEE J. Biomed. Health Informatics, July, 2024
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis.
IEEE J. Biomed. Health Informatics, May, 2024
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework.
IEEE J. Biomed. Health Informatics, April, 2024
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation.
IEEE J. Biomed. Health Informatics, March, 2024
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces.
Expert Syst. Appl., March, 2024
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding.
Expert Syst. Appl., 2024
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine.
CoRR, 2024
Enhanced Structure Preservation and Multi-View Approach in Unsupervised Domain Adaptation for Optic Disc and Cup Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
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
IEEE Trans. Intell. Transp. Syst., May, 2023
SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
2022
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage, 2022
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE Trans. Medical Imaging, 2020
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2013
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification.
Neurocomputing, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
2011
Int. J. Imaging Syst. Technol., 2011
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Proceedings of the First Asian Conference on Pattern Recognition, 2011