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Yonggwan Won: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    CIT, 2005, pp:469-473 [Conf]
  2. Jung-Ja Kim, Young-Ho Kim, Yonggwan Won
    Proteomic Pattern Classification Using Bio-markers for Prostate Cancer Diagnosis. [Citation Graph (0, 0)][DBLP]
    CIS, 2004, pp:631-638 [Conf]
  3. Min-A Jeong, Jung-Ja Kim, Yonggwan Won
    A Flexible Database Security System Using Multiple Access Control Policies. [Citation Graph (0, 0)][DBLP]
    DEXA, 2003, pp:876-885 [Conf]
  4. Jung-Ja Kim, Young-Ho Kim, Yonggwan Won
    A Hybrid Classification System for Cancer Diagnosis with Proteomic Bio-markers. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:167-177 [Conf]
  5. Doheon Lee, Jungja Kim, Mina Jeong, Yonggwan Won, Seon Hee Park, Kwang Hyung Lee
    Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:128-135 [Conf]
  6. Seong-Joon Baek, Aaron Park, Jin Young Kim, Seung Yu Na, Yonggwan Won, Jaebum Choo
    Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra. [Citation Graph (0, 0)][DBLP]
    ICIC (3), 2006, pp:402-411 [Conf]
  7. Sujeong Chang, Jaehyung Park, Yonggwan Won
    Evaluation on a Simple Deployment Approach of Mobile IP Networks with Dual Stack Access Routers. [Citation Graph (0, 0)][DBLP]
    ICWN, 2005, pp:337-340 [Conf]
  8. Bae-Ho Lee, Kwang-Hee Kim, Yonggwan Won, Jiseung Nam
    Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:57-66 [Conf]
  9. Youngho Kim, Jungja Kim, Yonggwan Won, Yongho In
    Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold. [Citation Graph (0, 0)][DBLP]
    ISCIS, 2003, pp:389-396 [Conf]
  10. Yonggwan Won, Bae-Ho Lee, Yong-Chang Baek, Jung-Soo Lee
    Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:1144-1153 [Conf]
  11. Jaehyung Park, Min Young Chung, Jinsoo Kim, Yonggwan Won
    A Distributed Architecture of the Indirect IP Lookup Scheme for High-Speed Routers. [Citation Graph (0, 0)][DBLP]
    PDCAT, 2004, pp:519-526 [Conf]
  12. Yonggwan Won, Jiseung Nam, Bae-Ho Lee
    Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:806-815 [Conf]
  13. Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick Coffield
    Segmentation free shared weight networks for automatic vehicle detection. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:9, pp:1457-1473 [Journal]
  14. Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won
    A Robust Online Sequential Extreme Learning Machine. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1077-1086 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:1240-1247 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    MDAI, 2007, pp:341-350 [Conf]

  17. Evolutionary algorithm for training compact single hidden layer feedforward neural networks. [Citation Graph (, )][DBLP]

  18. Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. [Citation Graph (, )][DBLP]

  19. Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. [Citation Graph (, )][DBLP]

  20. DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. [Citation Graph (, )][DBLP]

  21. Classification of Unbalanced Medical Data with Weighted Regularized Least Squares. [Citation Graph (, )][DBLP]

  22. Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. [Citation Graph (, )][DBLP]

  23. Extreme Learning Machine with Fuzzy Activation Function. [Citation Graph (, )][DBLP]

  24. Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. [Citation Graph (, )][DBLP]

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