- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| c29 |      | Hai-Trieu Pham, Jung-Ja Kim, Yonggwan Won: A Cost Effective Method for Matching the 3D Motion Trajectories. ICITCS 2012: 889-895 |
| c28 | | Hai-Trieu Pham, Yonggwan Won, Jung-Ja Kim: Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix. ICUIMC 2012: 24 |
| 2011 | ||
| j7 | | Hieu Trung Huynh, Yonggwan Won: Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. Pattern Recognition Letters 32(14): 1930-1935 (2011) |
| 2009 | ||
| j6 | | Jung-Ja Kim, Heetaek Ceong, Yonggwan Won: Weighted Association Rule Mining for Item Groups with Different Properties and Risk Assessment for Networked Systems. IEICE Transactions 92-D(1): 10-15 (2009) |
| c27 | | Hieu Trung Huynh, Yonggwan Won: Online training for single hidden-layer feedforward neural networks using RLS-ELM. CIRA 2009: 469-473 |
| c26 | | Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won: DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. FGIT-BSBT 2009: 108-114 |
| c25 | | Hieu Trung Huynh, Yonggwan Won: Extreme Learning Machine with Fuzzy Activation Function. NCM 2009: 303-307 |
| 2008 | ||
| j5 | | Hieu Trung Huynh, Yonggwan Won: Small Number of Hidden Units for ELM with Two-Stage Linear Model. IEICE Transactions 91-D(4): 1042-1049 (2008) |
| j4 | | Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim: An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. Int. J. Neural Syst. 18(5): 433-441 (2008) |
| j3 | | Hieu Trung Huynh, Yonggwan Won: Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. JDCTA 2(3): 40-46 (2008) |
| c24 | | Hieu Trung Huynh, Yonggwan Won: Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. IEEE Congress on Evolutionary Computation 2008: 2962-2966 |
| c23 | | Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim: Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. ICNSC 2008: 1517-1520 |
| c22 | | Hieu Trung Huynh, Yonggwan Won: Evolutionary algorithm for training compact single hidden layer feedforward neural networks. IJCNN 2008: 3028-3033 |
| c21 | | Hieu Trung Huynh, Yonggwan Won: Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. NCM (1) 2008: 256-260 |
| 2007 | ||
| c20 | | Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won: DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. FBIT 2007: 193-198 |
| c19 | | Nguyen H. Vo, Yonggwan Won: Classification of Unbalanced Medical Data with Weighted Regularized Least Squares. FBIT 2007: 347-352 |
| c18 | | Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won: Outlier Treatment for SLFNs in Classification. ICCSA Workshops 2007: 104-109 |
| c17 | | Minh-Tuan T. Hoang, Yonggwan Won, Hyung-Jeong Yang: Cognitive States Detection in fMRI using incremental P. ICCSA Workshops 2007: 335-341 |
| c16 | | Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won: A Robust Online Sequential Extreme Learning Machine. ISNN (1) 2007: 1077-1086 |
| c15 | | Seong-Joon Baek, Aaron Park, Sangki Kang, Yonggwan Won, Jin Young Kim, Seung You Na: Detection of Basal Cell Carcinoma Based on Gaussian Prototype Fitting of Confocal Raman Spectra. ISNN (2) 2007: 1240-1247 |
| c14 | | Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won: Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. MDAI 2007: 341-350 |
| c13 | | Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won, Jung-Ja Kim: Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. RIVF 2007: 274-280 |
| 2006 | ||
| c12 | | Seong-Joon Baek, Aaron Park, Jin Young Kim, Seung You Na, Yonggwan Won, Jaebum Choo: Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra. ICIC (3) 2006: 402-411 |
| 2005 | ||
| c11 | | Sujeong Chang, Jaehyung Park, Yonggwan Won, Mijeong Yang, Min Young Chung: Performance Comparison of TCP Traffic over Mobile IPv4 and IPv6 Networks and a Mobile Network Deployment Approach. CIT 2005: 469-473 |
| c10 | | Jung-Ja Kim, Young-Ho Kim, Yonggwan Won: A Hybrid Classification System for Cancer Diagnosis with Proteomic Bio-markers. EPIA 2005: 167-177 |
| c9 |  | Sujeong Chang, Jaehyung Park, Yonggwan Won: Evaluation on a Simple Deployment Approach of Mobile IP Networks with Dual Stack Access Routers. ICWN 2005: 337-340 |
| 2004 | ||
| c8 | | Jung-Ja Kim, Young-Ho Kim, Yonggwan Won: Proteomic Pattern Classification Using Bio-markers for Prostate Cancer Diagnosis. CIS 2004: 631-638 |
| c7 | | Jaehyung Park, Min Young Chung, Jinsoo Kim, Yonggwan Won: A Distributed Architecture of the Indirect IP Lookup Scheme for High-Speed Routers. PDCAT 2004: 519-526 |
| 2003 | ||
| c6 | | Mina Jeong, Jung-Ja Kim, Yonggwan Won: A Flexible Database Security System Using Multiple Access Control Policies. DEXA 2003: 876-885 |
| c5 | | Doheon Lee, Jung-Ja Kim, Mina Jeong, Yonggwan Won, Seon Hee Park, Kwang Hyung Lee: Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. ICARIS 2003: 128-135 |
| c4 | | Youngho Kim, Jung-Ja Kim, Yonggwan Won, Yongho In: Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold. ISCIS 2003: 389-396 |
| 2002 | ||
| c3 | | Bae-Ho Lee, Kwang-Hee Kim, Yonggwan Won, Jiseung Nam: Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model. IEA/AIE 2002: 57-66 |
| 2000 | ||
| c2 | | Yonggwan Won, Jiseung Nam, Bae-Ho Lee: Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction. SSPR/SPR 2000: 806-815 |
| 1997 | ||
| j2 | | Yonggwan Won, Paul D. Gader, Patrick Coffield: Morphological shared-weight networks with applications to automatic target recognition. IEEE Trans. Neural Netw. Learning Syst. 8(5): 1195-1203 (1997) |
| c1 | | Yonggwan Won, Bae-Ho Lee, Yong-Chang Baek, Jung-Soo Lee: Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. IWANN 1997: 1144-1153 |
| 1995 | ||
| j1 | | Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick Coffield: Segmentation free shared weight networks for automatic vehicle detection. Neural Networks 8(9): 1457-1473 (1995) |
Colors in the list of coauthors
Last update Mon May 20 02:17:35 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page