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HyunJung Shin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Koji Tsuda, HyunJung Shin, Bernhard Schölkopf
    Fast protein classification with multiple networks. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:65- [Conf]
  2. HyunJung Shin, N. Jeremy Hill, Gunnar Rätsch
    Graph Based Semi-supervised Learning with Sharper Edges. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:401-412 [Conf]
  3. HyunJung Shin, Sungzoon Cho
    Pattern Selection for Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:469-474 [Conf]
  4. HyunJung Shin, Sungzoon Cho
    Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:1008-1015 [Conf]
  5. HyunJung Shin, Hyoungjoo Lee, Sungzoon Cho
    Observational Learning with Modular Networks. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:126-132 [Conf]
  6. HyunJung Shin, Sungzoon Cho
    Fast Pattern Selection for Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:376-387 [Conf]
  7. HyunJung Shin, Sungzoon Cho
    Response modeling with support vector machines. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:4, pp:746-760 [Journal]
  8. HyunJung Shin, Sungzoon Cho
    Neighborhood Property-Based Pattern Selection for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:816-855 [Journal]
  9. HyunJung Shin, Sungzoon Cho
    Invariance of neighborhood relation under input space to feature space mapping. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:6, pp:707-718 [Journal]

  10. On Improving the Accuracy and Performance of Content-Based File Type Identification. [Citation Graph (, )][DBLP]

  11. wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability. [Citation Graph (, )][DBLP]

  12. Graph-Based Protein Functional Classification. [Citation Graph (, )][DBLP]

  13. Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning. [Citation Graph (, )][DBLP]

  14. Semi-supervised Learning with Ensemble Learning and Graph Sharpening. [Citation Graph (, )][DBLP]

  15. Fast file-type identification. [Citation Graph (, )][DBLP]

  16. Graph sharpening plus graph integration: a synergy that improves protein functional classification. [Citation Graph (, )][DBLP]

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