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Benyamin Kusumoputro: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Benyamin Kusumoputro, Aniati Murni
    Malignant Skin Cancer Identification Using Backpropagation Learning with Karhunen-Loeve Transformation. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 1999, pp:683-686 [Conf]
  2. Benyamin Kusumoputro, Mayasari T. Palupi, Aniati Murni
    Back Propagation with Karhunen Loeve Transformation in Neutral Network Diagnosis of Malignant Cancer. [Citation Graph (0, 0)][DBLP]
    IVCNZ, 1998, pp:115-119 [Conf]
  3. Aniati Murni, Dadan Hardianto, Benyamin Kusumoputro
    Feature Selection Methods: Visual Versus Automatic Selection. [Citation Graph (0, 0)][DBLP]
    IVCNZ, 1998, pp:146-150 [Conf]
  4. Muhammad R. Widyanto, Hajime Nobuhara, Kazuhiko Kawamoto, Kaoru Hirota, Benyamin Kusumoputro
    Improving recognition and generalization capability of back-propagation NN using a self-organized network inspired by immune algorithm (SONIA). [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2005, v:6, n:1, pp:72-84 [Journal]
  5. Benyamin Kusumoputro, Teguh P. Arsyad
    Recognizing Odor Mixtures Using Optimized Fuzzy Neural Network Through Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    JACIII, 2005, v:9, n:3, pp:290-296 [Journal]
  6. Muhammad R. Widyanto, Kazuhiko Kawamoto, Benyamin Kusumoputro, Kaoru Hirota
    SONIA-Based Decision Neural Network for Preference Assessment with Incomplete Comparisons. [Citation Graph (0, 0)][DBLP]
    JACIII, 2005, v:9, n:6, pp:607-614 [Journal]

  7. A two-level learning hierarchy for constructing incremental projection generalizing neural networks. [Citation Graph (, )][DBLP]

  8. Pose estimation system of 3-D human face using nearest feature line in its eigenspace representation. [Citation Graph (, )][DBLP]

  9. Improving the artificial odor and gas source localization system using the semiconductor gas sensor based on RF communication. [Citation Graph (, )][DBLP]

  10. Optimization of fuzzy-neural structure through genetic algorithms and its application in artificial odor recognition-system. [Citation Graph (, )][DBLP]

  11. Recognition of odor mixture using fuzzy-LVQ neural networks with matrix similarity analysis. [Citation Graph (, )][DBLP]

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