Hakseung Kim
Orcid: 0000-0001-5407-293XAffiliations:
- Korea University, Seoul, South Korea
According to our database1,
Hakseung Kim
authored at least 35 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients.
Comput. Biol. Medicine, November, 2023
Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach.
IEEE J. Biomed. Health Informatics, April, 2023
Correction to: SleepExpertNet: high‑performance and class‑balanced deep learning approach inspired from the expert neurologists for sleep stage classification.
J. Ambient Intell. Humaniz. Comput., 2023
SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification.
J. Ambient Intell. Humaniz. Comput., 2023
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG.
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
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.
IEEE J. Biomed. Health Informatics, 2022
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning.
IEEE J. Biomed. Health Informatics, 2021
Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Sequential Transfer Learning via Segment After Cue Enhances the Motor Imagery-based Brain-Computer Interface.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification.
Inf. Sci., 2019
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms.
Inf. Sci., 2018
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018
2016
Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering Algorithm.
IEEE Trans. Biomed. Eng., 2016
2015
Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci.
Medical Image Anal., 2015
Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Automated artefact elimination in computed tomography: A preliminary report for traumatic brain injury and stroke.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Noninvasive assessment of intracranial pressure using functional matrix estimation method.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
The age-related difference in computed tomography density distribution: A preliminary report.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Morphological landmark detection in arterial blood pressure and intracranial pressure: Preliminary procedures for intracranial pressure waveform analysis.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2013
Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013