Keun-Chang Kwak

Keun-Chang Kwak

Chosun University

H-index: 24

Asia-South Korea

About Keun-Chang Kwak

Keun-Chang Kwak, With an exceptional h-index of 24 and a recent h-index of 18 (since 2020), a distinguished researcher at Chosun University, specializes in the field of Human-Robot Interaction, Computational Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques

Multi-Session Electrocardiogram–Electromyogram Database for User Recognition

Speech emotion recognition based on two-stream deep learning model using Korean audio information

Semi-Supervised Domain Adaptation for Individual Identification from Electrocardiogram Signals

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

A Design and Its Application of Multi-Granular Fuzzy Model with Hierarchical Tree Structures

Personal Identification Using Long Short-Term Memory with Efficient Features of Electromyogram Biomedical Signals

A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of Rational Information Granules

Keun-Chang Kwak Information

University

Position

___

Citations(all)

2515

Citations(since 2020)

986

Cited By

1903

hIndex(all)

24

hIndex(since 2020)

18

i10Index(all)

45

i10Index(since 2020)

29

Email

University Profile Page

Chosun University

Google Scholar

View Google Scholar Profile

Keun-Chang Kwak Skills & Research Interests

Human-Robot Interaction

Computational Intelligence

Top articles of Keun-Chang Kwak

Title

Journal

Author(s)

Publication Date

Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques

Applied Sciences

Tae-Wan Kim

Keun-Chang Kwak

2024/2/15

Multi-Session Electrocardiogram–Electromyogram Database for User Recognition

Applied Sciences

Jin Su Kim

Cheol Ho Song

Jae Myung Kim

Jimin Lee

Yeong-Hyeon Byeon

...

2024/3/20

Speech emotion recognition based on two-stream deep learning model using Korean audio information

Applied Sciences

A-Hyeon Jo

Keun-Chang Kwak

2023/2/8

Semi-Supervised Domain Adaptation for Individual Identification from Electrocardiogram Signals

Applied Sciences

Yeong-Hyeon Byeon

Keun-Chang Kwak

2023/12/14

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

Applied Sciences

Jin-A Lee

Keun-Chang Kwak

2023/10/31

A Design and Its Application of Multi-Granular Fuzzy Model with Hierarchical Tree Structures

Applied Sciences

Chan-Uk Yeom

Keun-Chang Kwak

2023/10/11

Personal Identification Using Long Short-Term Memory with Efficient Features of Electromyogram Biomedical Signals

Electronics

Yeong-Hyeon Byeon

Keun-Chang Kwak

2023/10/10

A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of Rational Information Granules

Applied Sciences

Chan-Uk Yeom

Keun-Chang Kwak

2022/7/18

System and method of determining disease based on heat map image explainable from electrocardiogram signal

2022/5/26

Diagnosis of depression based on four-stream model of bi-LSTM and CNN from audio and text information

IEEE Access

A-Hyeon Jo

Keun-Chang Kwak

2022/12/23

A design of CGK-based granular model using hierarchical structure

Applied Sciences

Chan-Uk Yeom

Keun-Chang Kwak

2022/3/19

Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals

Yeong-Hyeon Byeon

Keun-Chang Kwak

2022/12/17

Personal identification using an ensemble approach of 1D-LSTM and 2D-CNN with electrocardiogram signals

Applied Sciences

Jin-A Lee

Keun-Chang Kwak

2022/3/4

Biometrics and Healthcare System Using EMG and ECG Signals

Yeong-Hyeon Byeon

Sung-Bum Pan

Keun-Chang Kwak

2022/12/9

ECG-based biometrics using a deep network based on independent component analysis

IEEE Access

Jae-Neung Lee

Keun-Chang Kwak

2022/1/31

Individual identification by late information fusion of emgCNN and emgLSTM from electromyogram signals

Sensors

Yeong-Hyeon Byeon

Keun-Chang Kwak

2022/9/7

Deep Learning Based Emotion Recognition with the Use of Time-Scale Two-Dimensional Transformation from Electrocardiogram Signals

J. Electr. Soc. Pap

Myung-Won Lee

Yeong-Hyeon Byeon

Chan-Uk Yeom

Keun-Chang Kwak

2021/9

Ensemble three-stream RGB-S deep neural network for human behavior recognition under intelligent home service robot environments

IEEE Access

Yeong-Hyeon Byeon

Dohyung Kim

Jaeyeon Lee

Keun-Chang Kwak

2021/5/4

Body and hand–object ROI-based behavior recognition using deep learning

Sensors

Yeong-Hyeon Byeon

Dohyung Kim

Jaeyeon Lee

Keun-Chang Kwak

2021/3/6

Explaining the unique behavioral characteristics of elderly and adults based on deep learning

Applied Sciences

Yeong-Hyeon Byeon

Dohyung Kim

Jaeyeon Lee

Keun-Chang Kwak

2021/11/19

See List of Professors in Keun-Chang Kwak University(Chosun University)