Sun-Hee Kim

Orcid: 0000-0002-6081-0852

According to our database1, Sun-Hee Kim authored at least 28 papers between 2009 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
WeDea: A New EEG-Based Framework for Emotion Recognition.
IEEE J. Biomed. Health Informatics, 2022

Facial Expression Recognition Using a Temporal Ensemble of Multi-Level Convolutional Neural Networks.
IEEE Trans. Affect. Comput., 2022

DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds.
Sensors, 2022

2021
AsEmo: Automatic Approach for EEG-Based Multiple Emotional State Identification.
IEEE J. Biomed. Health Informatics, 2021

Children Emotion Regulation: Development of Neural Marker by Investigating Human Brain Signals.
IEEE Trans. Instrum. Meas., 2021

eRAD-Fe: Emotion Recognition-Assisted Deep Learning Framework.
IEEE Trans. Instrum. Meas., 2021

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation.
Softw. Pract. Exp., 2021

2020
Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling.
IEEE Trans. Instrum. Meas., 2020

An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering.
Sensors, 2020

Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing.
Comput. Intell. Neurosci., 2020

2018
Low-Feature Extraction for Multi-label Patterns Analyzing in Complex Time Series Mining.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data.
J. Inf. Sci. Eng., 2017

FitMine: automatic mining for time-evolving signals of cardiotocography monitoring.
Data Min. Knowl. Discov., 2017

2016
Hidden discriminative features extraction for supervised high-order time series modeling.
Comput. Biol. Medicine, 2016

Feature extraction of emotional states for EEG-based rage control.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

2015
A multi-voxel-activity-based feature selection method for human cognitive states classification by functional magnetic resonance imaging data.
Clust. Comput., 2015

Fast Fourier Transform and Tucker Decomposition for Feature Extraction in EEG Signals.
Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

2014
A Harmonic Linear Dynamical System for Prominent ECG Feature Extraction.
Comput. Math. Methods Medicine, 2014

2013
Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG.
Comput. Math. Methods Medicine, 2013

EEG-MINE: Mining and Understanding Epilepsy Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

2012
Correction for Misrecognition of Korean Texts in Signboard Images using Improved Levenshtein Metric.
KSII Trans. Internet Inf. Syst., 2012

Illuminator: Increasing Synergies Between Medicinal And Computational Chemists.
Silico Biol., 2012

Incremental Non-Gaussian Analysis on Multivariate EEG Signal Data.
IEICE Trans. Inf. Syst., 2012

2011
Incremental expectation maximization principal component analysis for missing value imputation for coevolving EEG data.
J. Zhejiang Univ. Sci. C, 2011

Hidden dynamic learning for long-interval consecutive missing values reconstruction in EEG time series.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010
A study on the characteristics of magnetic field for wireless sensor network.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2010

2009
Hidden pattern discovery on event related potential EEG signals.
Biosyst., 2009

Incremental non-gaussian analysis of microarray gene expression data.
Proceedings of the Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, 2009


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