Tae-Eui Kam
Orcid: 0000-0002-6677-7176
According to our database1,
Tae-Eui Kam
authored at least 27 papers
between 2011 and 2024.
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Bibliography
2024
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst., 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
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine.
CoRR, 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