Morphological shared-weight neural network for pattern classification and automatic target detection. - Yonggwan Won; Paul D. Gader (ICNN, 1995)

Segmentation free shared weight networks for automatic vehicle detection. - Paul D. Gader; Joseph R. Miramonti; Yonggwan Won; Patrick C. Coffield (Neural Networks, 1995)

Comparison of linear and morphological shared-weight neural networks. - Yonggwan Won; Paul D. Gader (Electronic Imaging: Nonlinear Image Processing, 1996)

Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. - Yonggwan Won; Bae-Ho Lee; Yong-Chang Baek; Jung-Soo Lee (IWANN, 1997)

Morphological shared-weight networks with applications to automatic target recognition. - Yonggwan Won; Paul D. Gader; Patrick C. Coffield (IEEE Trans. Neural Networks, 1997)

Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction. - Yonggwan Won; Jiseung Nam; Bae-Ho Lee (SSPR/SPR, 2000)

Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model. - Bae-Ho Lee; Kwang-Hee Kim; Yonggwan Won; Jiseung Nam (IEA/AIE, 2002)

A Flexible Database Security System Using Multiple Access Control Policies. - Mina Jeong; Jung-Ja Kim; Yonggwan Won (DEXA, 2003)

Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. - Doheon Lee; Jung-Ja Kim; Mina Jeong; Yonggwan Won; Seon Hee Park; Kwang Hyung Lee (ICARIS, 2003)

Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold. - Youngho Kim; Jung-Ja Kim; Yonggwan Won; Yongho In (ISCIS, 2003)

Proteomic Pattern Classification Using Bio-markers for Prostate Cancer Diagnosis. - Jung-Ja Kim; Young-Ho Kim; Yonggwan Won (CIS, 2004)

A Distributed Architecture of the Indirect IP Lookup Scheme for High-Speed Routers. - Jaehyung Park; Min Young Chung; Jinsoo Kim 002; Yonggwan Won (PDCAT, 2004)

Performance Comparison of TCP Traffic over Mobile IPv4 and IPv6 Networks and a Mobile Network Deployment Approach. - Sujeong Chang; Jaehyung Park; Yonggwan Won; Mijeong Yang; Min Young Chung (CIT, 2005)

A Hybrid Classification System for Cancer Diagnosis with Proteomic Bio-markers. - Jung-Ja Kim; Young-Ho Kim; Yonggwan Won (EPIA, 2005)

Evaluation on a Simple Deployment Approach of Mobile IP Networks with Dual Stack Access Routers. - Sujeong Chang; Jaehyung Park; Yonggwan Won (ICWN, 2005)

Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra. - Seong-Joon Baek; Aaron Park; Jin Young Kim 002; Seung You Na; Yonggwan Won; Jaebum Choo (ICIC (3), 2006)

DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. - Hieu Trung Huynh; Jung-Ja Kim; Yonggwan Won (FBIT, 2007)

Classification of Unbalanced Medical Data with Weighted Regularized Least Squares. - Nguyen H. Vo; Yonggwan Won (FBIT, 2007)

Cognitive States Detection in fMRI using incremental P. - Minh-Tuan T. Hoang; Yonggwan Won; Hyung-Jeong Yang (ICCSA Workshops, 2007)

Outlier Treatment for SLFNs in Classification. - Hieu Trung Huynh; Nguyen H. Vo; Minh-Tuan T. Hoang; Yonggwan Won (ICCSA Workshops, 2007)

Detection of Basal Cell Carcinoma Based on Gaussian Prototype Fitting of Confocal Raman Spectra. - Seong-Joon Baek; Aaron Park; Sangki Kang; Yonggwan Won; Jin Young Kim 002; Seung You Na (ISNN (2), 2007)

A Robust Online Sequential Extreme Learning Machine. - Minh-Tuan T. Hoang; Hieu Trung Huynh; Nguyen H. Vo; Yonggwan Won (ISNN (1), 2007)

Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. - Hieu Trung Huynh; Nguyen H. Vo; Minh-Tuan T. Hoang; Yonggwan Won (MDAI, 2007)

Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. - Minh-Tuan T. Hoang; Hieu Trung Huynh; Nguyen H. Vo; Yonggwan Won; Jung-Ja Kim (RIVF, 2007)

Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. - Hieu Trung Huynh; Yonggwan Won (IEEE Congress on Evolutionary Computation, 2008)

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. - Hieu Trung Huynh; Yonggwan Won; Jung-Ja Kim (ICNSC, 2008)

Evolutionary algorithm for training compact single hidden layer feedforward neural networks. - Hieu Trung Huynh; Yonggwan Won (IJCNN, 2008)

Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. - Hieu Trung Huynh; Yonggwan Won (NCM (1), 2008)

Small Number of Hidden Units for ELM with Two-Stage Linear Model. - Hieu Trung Huynh; Yonggwan Won (IEICE Trans. Inf. Syst., 2008)

An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. - Hieu Trung Huynh; Yonggwan Won; Jung-Ja Kim (Int. J. Neural Syst., 2008)

Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. - Hieu Trung Huynh; Yonggwan Won (J. Digit. Content Technol. its Appl., 2008)

Online training for single hidden-layer feedforward neural networks using RLS-ELM. - Hieu Trung Huynh; Yonggwan Won (CIRA, 2009)

DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. - Hieu Trung Huynh; Jung-Ja Kim; Yonggwan Won (FGIT-BSBT, 2009)

Extreme Learning Machine with Fuzzy Activation Function. - Hieu Trung Huynh; Yonggwan Won (NCM, 2009)

Weighted Association Rule Mining for Item Groups with Different Properties and Risk Assessment for Networked Systems. - Jung-Ja Kim; Heetaek Ceong; Yonggwan Won (IEICE Trans. Inf. Syst., 2009)

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. - Hieu Trung Huynh; Yonggwan Won (Pattern Recognit. Lett., 2011)

A Cost Effective Method for Matching the 3D Motion Trajectories. - Hai-Trieu Pham; Jung-Ja Kim; Yonggwan Won (ICITCS, 2012)

Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix. - Hai-Trieu Pham; Yonggwan Won; Jung-Ja Kim (ICUIMC, 2012)

Mastering Signal Processing with Residual Coding Scheme in Spatial Audio Object Coding. - Kwang-Ki Kim; Byeong-ok Jang; Sanghyun Park; Yonggwan Won; Jinsul Kim (ICISA, 2013)

A Network-Based Mobile Multicast Framework for Heterogeneous IP-Based Networks. - Sanghyun Park; Yonggwan Won; Jinsul Kim; Ilgu Jung; SengKyun Jo; Won Ryu; JongSeok Chae (ICISA, 2013)

Evaluation of Custom-Made Insoles on Pes Cavus During Walking. - Jung-Kyu Choi; Chan-Il Yoo; Kyung-Ah Kim; Yonggwan Won; Jung-Ja Kim (ICITCS, 2014)

Study on Datamining Techinique for Foot Disease Prediction. - Jung-Kyu Choi; Chan-Il Yoo; Kyung-Ah Kim; Yonggwan Won; Jung-Ja Kim (ICITCS, 2014)

Combining STUN Protocol and UDP Hole Punching Technique for Peer-To-Peer Communication across Network Address Translation. - Tran Thi Thu Ha; Jaehyung Park; Yonggwan Won; Jinsul Kim (ICITCS, 2014)

Correlation Analysis between Idiopathic Scoliosis and Pelvic Asymmetry Using Sitting Posture Measurement System. - Ji-Yong Jung; Chan-Il Yoo; Kyung-Ah Kim; Soo-Kyung Bok; Bong-Ok Kim; Yonggwan Won; Jung-Ja Kim (ICITCS, 2014)

Evaluation of Sitting Balance in Adolescent Idiopathic Scoliosis Patients with Pelvic Rotation Using Balance Board System with Accelerometer. - Ji-Yong Jung; Chan-Il Yoo; Kyung-Ah Kim; Soo-Kyung Bok; Bong-Ok Kim; Yonggwan Won; Jung-Ja Kim (ICITCS, 2014)

Performance Comparison of Multilayer Neural Networks for Sleep Snoring Detection. - Tan Loc Nguyen; Yonggwan Won (ICITCS, 2014)

Application of big data analysis with decision tree for the foot disorder. - Jung-Kyu Choi; Keunhwan Jeon; Yonggwan Won; Jung-Ja Kim (Clust. Comput., 2015)

3D motion matching algorithm using signature feature descriptor. - Hai-Trieu Pham; Jung-Ja Kim; Tan Loc Nguyen; Yonggwan Won (Multim. Tools Appl., 2015)

A summative scoring system for evaluation of human kinematic performance. - Hai-Trieu Pham; Pubudu N. Pathirana; Yonggwan Won; Saiyi Li (Biomed. Signal Process. Control., 2016)

Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. - Hieu Trung Huynh; Ho Dac Quan; Yonggwan Won (FDSE, 2017)

An efficient hybrid push-pull methodology for peer-to-peer video live streaming system on mobile broadcasting social media. - Tran Thi Thu Ha; Yonggwan Won; Jinsul Kim (Multim. Tools Appl., 2017)

An efficient transmission method based on HEVC multi-view adaptive video streaming over P2P network in NFV. - Linh Van Ma; Gwanghyun Yu; Jin-Young Kim 002; Yonggwan Won; Jinsul Kim (J. Supercomput., 2018)

Application of Regularized Online Sequential Learning for Glucose Correction. - Hieu Trung Huynh; Yonggwan Won (Trans. Large Scale Data Knowl. Centered Syst., 2019)

A Context-aware adaptive algorithm for ambient intelligence DASH at mobile edge computing. - Jinsul Kim; Yonggwan Won; Changwoo Yoon; Jin-Young Kim; Sangho Park; JaeCheol Ryou 001; Linh Van Ma (J. Ambient Intell. Humaniz. Comput., 2020)

A Fast and Simple Method for Sleep Breathing Cycle Segmentation in Time Domain. - Rayoung Park; Heonzoo Lee; Tan Loc Nguyen; Sejin Kim; Yonggwan Won (IMCOM, 2024)