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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations.
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

Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface.
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

Motion Sickness Prediction Based on Dry EEG in Real Driving Environment.
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

Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis.
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

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis.
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

Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

2011
A hierarchical stimulus presentation paradigm for a P300-based Hangul speller.
Int. J. Imaging Syst. Technol., 2011

A P300-Based Hangul Input System with a Hierarchical Stimulus Presentation Paradigm.
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

Time-Dependent Common Spatial Patterns optimization for EEG signal classification.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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