Adaptive Neuro-Fuzzy Networks with the Aid of Fuzzy Granulation. - Keun-Chang Kwak 001; Dong-Hwa Kim (IEICE Trans. Inf. Syst., 2005)

Bimanual Hand Tracking. - Hye-Jin Kim 001; Keun-Chang Kwak 001; Jaeyeon Lee 001 (ICCSA (1), 2006)

Speech-based Human-Robot Interaction Components for URC Intelligent Service Robots. - Keun-Chang Kwak 001; Kyu-Dae Ban; Kyung-Suk Bae; Hye-Jin Kim 001; Soo-Young Chi; Young-Jo Cho (IROS, 2006)

Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots. - Keun-Chang Kwak 001; Do-Hyung Kim 004; ByoungYoul Song; Daeha Lee; Soo-Young Chi; Young-Jo Cho (IROS, 2006)

AR-KLT based Hand Tracking. - Hye-Jin Kim 001; Keun-Chang Kwak 001; Soo-Young Chi; Young-Jo Cho (RO-MAN, 2006)

TSK-Based Linguistic Fuzzy Model with Uncertain Model Output. - Keun-Chang Kwak 001; Dong-Hwa Kim (IEICE Trans. Inf. Syst., 2006)

Speaker Identification and Verification for Intelligent Service Robots. - Keun-Chang Kwak 001; Hye-Jin Kim 001; Kyung-Suk Bae; Ho-Sub Yoon (IC-AI, 2007)

On-Line Speaker Enrollment using Rhythmical Voices for Human Robot Interaction. - Kyungsook Bae; Hye-Jin Kim 001; Keun-Chang Kwak 001; Ho-Sub Yoon (RO-MAN, 2007)

Integrating Evidences of Independently Developed Face and Speaker Recognition Systems by Using Discrete Probability Density Function. - Jaeyeon Lee 001; Do-Hyung Kim 004; Keun-Chang Kwak 001; Hye-Jin Kim 001; Ho-Sub Yoon (RO-MAN, 2007)

Sound Localization Based on Excitation Source Information for Intelligent Home Service Robots. - Keun-Chang Kwak 001 (ICISP, 2008)

Granular-Based Linguistic Models for Identification of Process System. - Keun-Chang Kwak 001 (ISICA, 2008)

Combining Global Model and Local Adaptive Neuro-Fuzzy Network. - Yun-Hee Han; Keun-Chang Kwak 001 (ICIC (2), 2009)

Face recognition with the use of tensor representation in home robot environments. - Keun-Chang Kwak 001 (IEICE Electron. Express, 2009)

A Design of Incremental Granular Network for Software Data Modeling. - Keun-Chang Kwak 001 (J. Softw. Eng. Appl., 2010)

Sound source tracking of moving speaker using multi-channel microphones in robot environments. - Keun-Chang Kwak 001 (ROBIO, 2011)

A Development of Cascade Granular Neural Networks. - Keun-Chang Kwak 001 (IEICE Trans. Inf. Syst., 2011)

A Design of Genetically Optimized Linguistic Models. - Keun-Chang Kwak 001 (IEICE Trans. Inf. Syst., 2012)

Intelligent Predictor of Energy Expenditure with the Use of Patch-Type Sensor Module. - Meina Li; Keun-Chang Kwak 001; Youn Tae Kim (Sensors, 2012)

Knowledge Discovery and Modeling based on Conditional Fuzzy Clustering with Interval Type-2 Fuzzy. - Yeong-Hyeon Byeon; Keun-Chang Kwak 001 (KDIR, 2015)

An expansion of local Granular Models in the design of incremental model. - Myungwon Lee; Keun-Chang Kwak 001; Witold Pedrycz (FUZZ-IEEE, 2016)

Speech Enhancement Using ES Information and Phase-Error Based Filters. - Keun-Chang Kwak 001; Myungwon Lee (ICITCS, 2016)

An Incremental Radial Basis Function Network Based on Information Granules and Its Application. - Myungwon Lee; Keun-Chang Kwak 001 (Comput. Intell. Neurosci., 2016)

A Design of Incremental Granular Model Using Context-Based Interval Type-2 Fuzzy C-Means Clustering Algorithm. - Keun-Chang Kwak 001 (IEICE Trans. Inf. Syst., 2016)

Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor. - Jae-Neung Lee; Myungwon Lee; Yeong-Hyeon Byeon; Wonsik Lee; Keun-Chang Kwak 001 (Sensors, 2016)

Estimation of Energy Expenditure Using a Patch-Type Sensor Module with an Incremental Radial Basis Function Neural Network. - Meina Li; Keun-Chang Kwak 001; Youn Tae Kim (Sensors, 2016)

A Design of Convolutional Neural Network Using ReLU-Based ELM Classifier and Its Application. - Jung-Soo Han; Geum-Bae Cho; Keun-Chang Kwak 001 (ICMLC, 2017)

A Performance Comparison of Pedestrian Detection Using Faster RCNN and ACF. - Yeong-Hyeon Byeon; Keun-Chang Kwak 001 (IIAI-AAI, 2017)

Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor. - Dohyung Kim 004; Donghyeon Kim; Keun-Chang Kwak 001 (Sensors, 2017)

A Design for Genetically Oriented Rules-Based Incremental Granular Models and Its Application. - Yeong-Hyeon Byeon; Keun-Chang Kwak 001 (Symmetry, 2017)

The Development of Improved Incremental Models Using Local Granular Networks with Error Compensation. - Chan-Uk Yeom; Keun-Chang Kwak 001 (Symmetry, 2017)

Individual Identification using Third-Order Tensor-Based Multilinear FisherECG. - Yeong-Hyeon Byeon; Sung Bum Pan; Keun-Chang Kwak 001 (EECS, 2018)

An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal. - Jae-Neung Lee; Yeong-Hyeon Byeon; Sung Bum Pan; Keun-Chang Kwak 001 (Sensors, 2018)

Multilinear EigenECGs and FisherECGs for Individual Identification from Information Obtained by an Electrocardiogram Sensor. - Yeong-Hyeon Byeon; Jae-Neung Lee; Sung Bum Pan; Keun-Chang Kwak 001 (Symmetry, 2018)

Performance Comparison of ANFIS Models by Input Space Partitioning Methods. - Chan-Uk Yeom; Keun-Chang Kwak 001 (Symmetry, 2018)

Individual identification Based on Cascaded PCANet from ECG Signal. - Jae-Neung Lee; Sung Bum Pan; Keun-Chang Kwak 001 (ICEIC, 2019)

Personal Identification Using a Robust Eigen ECG Network Based on Time-Frequency Representations of ECG Signals. - Jae-Neung Lee; Keun-Chang Kwak 001 (IEEE Access, 2019)

Intelligent Deep Models Based on Scalograms of Electrocardiogram Signals for Biometrics. - Yeong-Hyeon Byeon; Sung Bum Pan; Keun-Chang Kwak 001 (Sensors, 2019)

Incremental Granular Model Improvement Using Particle Swarm Optimization. - Chan-Uk Yeom; Keun-Chang Kwak 001 (Symmetry, 2019)

Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity. - Chan-Uk Yeom; Keun-Chang Kwak 001 (Symmetry, 2019)

Optimization by Context Refinement for Development of Incremental Granular Models. - Myung-Won Lee; Keun-Chang Kwak 001 (Symmetry, 2020)

Ensemble Three-Stream RGB-S Deep Neural Network for Human Behavior Recognition Under Intelligent Home Service Robot Environments. - Yeong-Hyeon Byeon; Dohyung Kim 004; Jaeyeon Lee 001; Keun-Chang Kwak 001 (IEEE Access, 2021)

Body and Hand-Object ROI-Based Behavior Recognition Using Deep Learning. - Yeong-Hyeon Byeon; Dohyung Kim 004; Jaeyeon Lee 001; Keun-Chang Kwak 001 (Sensors, 2021)

Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals. - Yeong-Hyeon Byeon; Keun-Chang Kwak 001 (IEEE Big Data, 2022)

Diagnosis of Depression Based on Four-Stream Model of Bi-LSTM and CNN From Audio and Text Information. - A-Hyeon Jo; Keun-Chang Kwak 001 (IEEE Access, 2022)

ECG-Based Biometrics Using a Deep Network Based on Independent Component Analysis. - Jae-Neung Lee; Keun-Chang Kwak 001 (IEEE Access, 2022)

Individual Identification by Late Information Fusion of EmgCNN and EmgLSTM from Electromyogram Signals. - Yeong-Hyeon Byeon; Keun-Chang Kwak 001 (Sensors, 2022)

Hybrid Deep-ANFN Model for Dimensionality Reduction and Classification. - Tae-Wan Kim; Keun-Chang Kwak 001 (IEEE Access, 2024)

Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data. - A-Hyeon Jo; Keun-Chang Kwak 001 (IEEE Access, 2025)