| Intelligent deep models based on scalograms of electrocardiogram signals for biometrics YH Byeon, SB Pan, KC Kwak Sensors 19 (4), 935, 2019 | 120 | 2019 |
| A performance comparison of pedestrian detection using faster RCNN and ACF YH Byeon, KC Kwak 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI …, 2017 | 46 | 2017 |
| Posture recognition using ensemble deep models under various home environments YH Byeon, JY Lee, DH Kim, KC Kwak Applied Sciences 10 (4), 1287, 2020 | 34 | 2020 |
| Pre-configured deep convolutional neural networks with various time-frequency representations for biometrics from ECG signals YH Byeon, KC Kwak Applied Sciences 9 (22), 4810, 2019 | 25 | 2019 |
| Classification of horse gaits using FCM-based neuro-fuzzy classifier from the transformed data information of inertial sensor JN Lee, MW Lee, YH Byeon, WS Lee, KC Kwak Sensors 16 (5), 664, 2016 | 22 | 2016 |
| An EigenECG network approach based on PCANet for personal identification from ECG signal JN Lee, YH Byeon, SB Pan, KC Kwak Sensors 18 (11), 4024, 2018 | 20 | 2018 |
| Ensemble deep learning models for ECG-based biometrics YH Byeon, SB Pan, KC Kwak 2020 Cybernetics & Informatics (K&I), 1-5, 2020 | 18 | 2020 |
| A surveillance system using CNN for face recognition with object, human and face detection YH Byeon, SB Pan, SM Moh, KC Kwak Information Science and Applications (ICISA) 2016, 975-984, 2016 | 17 | 2016 |
| Body and hand–object ROI-based behavior recognition using deep learning YH Byeon, D Kim, J Lee, KC Kwak Sensors 21 (5), 1838, 2021 | 15 | 2021 |
| A trend analysis of motion capture systems for sports motion analysis YH Byeon, MW Lee, KC Kwak Journal of Korean Institute of Information Technology 11 (5), 191-201, 2013 | 14 | 2013 |
| Analysis of domestic and international development trend for horse riding simulator YH Byeon, KC Kwak 2013 13th International Conference on Control, Automation and Systems (ICCAS …, 2013 | 12 | 2013 |
| A transfer learning and performance comparison of deep learning models for pedestrian classification under automobile driving environment YH Byeon, KC Kwak The Journal of Korean Institute of Information Technology 16 (10), 83-92, 2018 | 8 | 2018 |
| Ensemble three-stream RGB-S deep neural network for human behavior recognition under intelligent home service robot environments YH Byeon, D Kim, J Lee, KC Kwak IEEE Access 9, 73240-73250, 2021 | 7 | 2021 |
| Design of ensemble stacked auto-encoder for classification of horse gaits with MEMS inertial sensor technology JN Lee, YH Byeon, KC Kwak Micromachines 9 (8), 411, 2018 | 7 | 2018 |
| A trends analysis of domestic research in developing horse riding simulator YH Byeon, MY Lee, JN Lee, KC Kwak Institute of Control, Robotics and System annual conference Abstracts 28 …, 2013 | 7 | 2013 |
| A Design for Genetically Oriented Rules-Based Incremental Granular Models and Its Application YH Byeon, KC Kwak Symmetry 9 (12), 324, 2017 | 6 | 2017 |
| Comparative analysis of performance using faster RCNN and ACF in people detection YH Byeon, KC Kwak Journal of KIIT 15 (6), p11-21, 2017 | 6 | 2017 |
| Personal Identification Using Long Short-Term Memory with Efficient Features of Electromyogram Biomedical Signals YH Byeon, KC Kwak Electronics 12 (20), 4192, 2023 | 5 | 2023 |
| Individual identification by late information fusion of emgCNN and emgLSTM from electromyogram signals YH Byeon, KC Kwak Sensors 22 (18), 6770, 2022 | 5 | 2022 |
| Multilinear EigenECGs and FisherECGs for individual identification from information obtained by an electrocardiogram sensor YH Byeon, JN Lee, SB Pan, KC Kwak Symmetry 10 (10), 487, 2018 | 5 | 2018 |
