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Keun-Chang Kwak 0001
Person information
- affiliation: Chosun University, Department of Electronics Engineering, Gwangju, Korea
Other persons with the same name
- Keun-Chang Kwak — disambiguation page
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2020 – today
- 2025
- [j29]A-Hyeon Jo
, Keun-Chang Kwak
Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data. IEEE Access 13: 19947-19963 (2025) - 2024
- [j28]Tae-Wan Kim
Hybrid Deep-ANFN Model for Dimensionality Reduction and Classification. IEEE Access 12: 171743-171752 (2024) - 2022
- [j27]Jae-Neung Lee, Keun-Chang Kwak
ECG-Based Biometrics Using a Deep Network Based on Independent Component Analysis. IEEE Access 10: 12913-12926 (2022) - [j26]A-Hyeon Jo
Diagnosis of Depression Based on Four-Stream Model of Bi-LSTM and CNN From Audio and Text Information. IEEE Access 10: 134113-134135 (2022) - [j25]Yeong-Hyeon Byeon, Keun-Chang Kwak
Individual Identification by Late Information Fusion of EmgCNN and EmgLSTM from Electromyogram Signals. Sensors 22(18): 6770 (2022) - [c19]Yeong-Hyeon Byeon, Keun-Chang Kwak:
Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals. IEEE Big Data 2022: 6733-6735 - 2021
- [j24]Yeong-Hyeon Byeon
Ensemble Three-Stream RGB-S Deep Neural Network for Human Behavior Recognition Under Intelligent Home Service Robot Environments. IEEE Access 9: 73240-73250 (2021) - [j23]Yeong-Hyeon Byeon
Body and Hand-Object ROI-Based Behavior Recognition Using Deep Learning. Sensors 21(5): 1838 (2021) - 2020
- [j22]Myung-Won Lee, Keun-Chang Kwak
Optimization by Context Refinement for Development of Incremental Granular Models. Symmetry 12(11): 1916 (2020)
2010 – 2019
- 2019
- [j21]Jae-Neung Lee, Keun-Chang Kwak
Personal Identification Using a Robust Eigen ECG Network Based on Time-Frequency Representations of ECG Signals. IEEE Access 7: 48392-48404 (2019) - [j20]Yeong-Hyeon Byeon, Sung Bum Pan
Intelligent Deep Models Based on Scalograms of Electrocardiogram Signals for Biometrics. Sensors 19(4): 935 (2019) - [j19]Chan-Uk Yeom, Keun-Chang Kwak
Incremental Granular Model Improvement Using Particle Swarm Optimization. Symmetry 11(3): 390 (2019) - [j18]Chan-Uk Yeom, Keun-Chang Kwak
Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity. Symmetry 11(12): 1480 (2019) - [c18]Jae-Neung Lee, Sung Bum Pan, Keun-Chang Kwak:
Individual identification Based on Cascaded PCANet from ECG Signal. ICEIC 2019: 1-4 - 2018
- [j17]Jae-Neung Lee, Yeong-Hyeon Byeon, Sung Bum Pan
An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal. Sensors 18(11): 4024 (2018) - [j16]Yeong-Hyeon Byeon, Jae-Neung Lee, Sung Bum Pan, Keun-Chang Kwak
Multilinear EigenECGs and FisherECGs for Individual Identification from Information Obtained by an Electrocardiogram Sensor. Symmetry 10(10): 487 (2018) - [j15]Chan-Uk Yeom, Keun-Chang Kwak
Performance Comparison of ANFIS Models by Input Space Partitioning Methods. Symmetry 10(12): 700 (2018) - [c17]Yeong-Hyeon Byeon, Sung Bum Pan, Keun-Chang Kwak:
Individual Identification using Third-Order Tensor-Based Multilinear FisherECG. EECS 2018: 454-457 - 2017
- [j14]Dohyung Kim, Donghyeon Kim, Keun-Chang Kwak
Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor. Sensors 17(6): 1261 (2017) - [j13]Chan-Uk Yeom, Keun-Chang Kwak
The Development of Improved Incremental Models Using Local Granular Networks with Error Compensation. Symmetry 9(11): 266 (2017) - [j12]Yeong-Hyeon Byeon, Keun-Chang Kwak
A Design for Genetically Oriented Rules-Based Incremental Granular Models and Its Application. Symmetry 9(12): 324 (2017) - [c16]Jung-Soo Han, Geum-Bae Cho, Keun-Chang Kwak:
A Design of Convolutional Neural Network Using ReLU-Based ELM Classifier and Its Application. ICMLC 2017: 179-183 - [c15]Yeong-Hyeon Byeon, Keun-Chang Kwak:
A Performance Comparison of Pedestrian Detection Using Faster RCNN and ACF. IIAI-AAI 2017: 858-863 - 2016
- [j11]Myungwon Lee, Keun-Chang Kwak
An Incremental Radial Basis Function Network Based on Information Granules and Its Application. Comput. Intell. Neurosci. 2016: 3207627:1-3207627:6 (2016) - [j10]Keun-Chang Kwak:
A Design of Incremental Granular Model Using Context-Based Interval Type-2 Fuzzy C-Means Clustering Algorithm. IEICE Trans. Inf. Syst. 99-D(1): 309-312 (2016) - [j9]Jae-Neung Lee, Myungwon Lee, Yeong-Hyeon Byeon, Wonsik Lee, Keun-Chang Kwak
Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor. Sensors 16(5): 664 (2016) - [j8]Meina Li, Keun-Chang Kwak
Estimation of Energy Expenditure Using a Patch-Type Sensor Module with an Incremental Radial Basis Function Neural Network. Sensors 16(10): 1566 (2016) - [c14]Myungwon Lee, Keun-Chang Kwak, Witold Pedrycz:
An expansion of local Granular Models in the design of incremental model. FUZZ-IEEE 2016: 1664-1670 - [c13]Keun-Chang Kwak, Myungwon Lee:
Speech Enhancement Using ES Information and Phase-Error Based Filters. ICITCS 2016: 1-3 - 2015
- [c12]Yeong-Hyeon Byeon, Keun-Chang Kwak:
Knowledge Discovery and Modeling based on Conditional Fuzzy Clustering with Interval Type-2 Fuzzy. KDIR 2015: 440-444 - 2012
- [j7]Keun-Chang Kwak:
A Design of Genetically Optimized Linguistic Models. IEICE Trans. Inf. Syst. 95-D(12): 3117-3120 (2012) - [j6]Meina Li, Keun-Chang Kwak
Intelligent Predictor of Energy Expenditure with the Use of Patch-Type Sensor Module. Sensors 12(11): 14382-14396 (2012) - 2011
- [j5]Keun-Chang Kwak:
A Development of Cascade Granular Neural Networks. IEICE Trans. Inf. Syst. 94-D(7): 1515-1518 (2011) - [c11]Keun-Chang Kwak:
Sound source tracking of moving speaker using multi-channel microphones in robot environments. ROBIO 2011: 3017-3020 - 2010
- [j4]Keun-Chang Kwak:
A Design of Incremental Granular Network for Software Data Modeling. J. Softw. Eng. Appl. 3(11): 1027-1031 (2010)
2000 – 2009
- 2009
- [j3]Keun-Chang Kwak:
Face recognition with the use of tensor representation in home robot environments. IEICE Electron. Express 6(4): 187-192 (2009) - [c10]Yun-Hee Han, Keun-Chang Kwak:
Combining Global Model and Local Adaptive Neuro-Fuzzy Network. ICIC (2) 2009: 184-189 - 2008
- [c9]Keun-Chang Kwak:
Sound Localization Based on Excitation Source Information for Intelligent Home Service Robots. ICISP 2008: 536-543 - [c8]Keun-Chang Kwak:
Granular-Based Linguistic Models for Identification of Process System. ISICA 2008: 220-227 - 2007
- [c7]Keun-Chang Kwak, Hye-Jin Kim, Kyung-Suk Bae, Ho-Sub Yoon:
Speaker Identification and Verification for Intelligent Service Robots. IC-AI 2007: 515-519 - [c6]Jaeyeon Lee, Do-Hyung Kim, Keun-Chang Kwak, Hye-Jin Kim, Ho-Sub Yoon:
Integrating Evidences of Independently Developed Face and Speaker Recognition Systems by Using Discrete Probability Density Function. RO-MAN 2007: 667-672 - [c5]Kyungsook Bae, Hye-Jin Kim, Keun-Chang Kwak, Ho-Sub Yoon:
On-Line Speaker Enrollment using Rhythmical Voices for Human Robot Interaction. RO-MAN 2007: 878-881 - 2006
- [j2]Keun-Chang Kwak, Dong-Hwa Kim:
TSK-Based Linguistic Fuzzy Model with Uncertain Model Output. IEICE Trans. Inf. Syst. 89-D(12): 2919-2923 (2006) - [c4]Hye-Jin Kim, Keun-Chang Kwak, Jaeyeon Lee:
Bimanual Hand Tracking. ICCSA (1) 2006: 955-963 - [c3]Keun-Chang Kwak, Kyu-Dae Ban, Kyung-Suk Bae, Hye-Jin Kim, Soo-Young Chi, Young-Jo Cho:
Speech-based Human-Robot Interaction Components for URC Intelligent Service Robots. IROS 2006 - [c2]Keun-Chang Kwak, Do-Hyung Kim, ByoungYoul Song, Daeha Lee, Soo-Young Chi, Young-Jo Cho:
Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots. IROS 2006 - [c1]Hye-Jin Kim, Keun-Chang Kwak, Soo-Young Chi, Young-Jo Cho:
AR-KLT based Hand Tracking. RO-MAN 2006: 611-616 - 2005
- [j1]Keun-Chang Kwak, Dong-Hwa Kim:
Adaptive Neuro-Fuzzy Networks with the Aid of Fuzzy Granulation. IEICE Trans. Inf. Syst. 88-D(9): 2189-2196 (2005)
Coauthor Index
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