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Shiro Usui: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
    SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1600-1601 [Conf]
  2. Paulito P. Palmes, Shiro Usui
    Invasive Connectionist Evolution. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:1119-1127 [Conf]
  3. Shiro Usui
    Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:1074-1079 [Conf]
  4. Toshihiro Aoyama, Yoshimi Kamiyama, Shiro Usui, Roman Blanco, Pedro de la Villa, Cecilia F. Vaquero
    Ionic Current Model of Rabbit Retinal Horizontal Cell. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1521-1524 [Conf]
  5. Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
    Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:502-505 [Conf]
  6. Peter Géczy, Shiro Usui
    Theoretical Concept of Network Pruning Based on Functional Convergence. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:635-638 [Conf]
  7. Peter Géczy, Shiro Usui
    Theoretical Analysis and Classification of Training Problem in Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1381-1384 [Conf]
  8. Peter Géczy, Shiro Usui
    Deterministic Approach to Dynamic Sample Selection. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1612-1615 [Conf]
  9. Tetsuo Iga, Yoshifumi Arai, Shiro Usui
    Trend of a Present Color Management Technology in the Industry. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:40-43 [Conf]
  10. Paulito P. Palmes, Shiro Usui
    The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:199-204 [Conf]
  11. Shiro Usui
    Neural Computing. [Citation Graph (0, 0)][DBLP]
    IFIP Congress, 1989, pp:371-374 [Conf]
  12. Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
    On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:461-466 [Conf]
  13. Taichi Hayasaka, Eiichi Ohnishi, Shigeki Nakauchi, Shiro Usui
    Analysis on the Viewpoint Dependency in 3-D Object Recognition by Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:176-183 [Conf]
  14. Peter Géczy, Shiro Usui, J. Chmúrny, D. Repcik, M. Líska, J. Stulrajter
    Dynamic instance selection for first order adaptable systems. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:119-124 [Conf]
  15. Hidetoshi Ikeno, Shiro Usui
    Basic computational properties of Kenyon cell in the mushroom body of honeybee. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:167-172 [Journal]
  16. Hidetoshi Ikeno, Shiro Usui
    Mathematical description of ionic currents of the Kenyon cell in the mushroom body of honeybee. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:177-184 [Journal]
  17. Jacek M. Zurada, Aleksander Malinowski, Shiro Usui
    Perturbation method for deleting redundant inputs of perceptron networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:14, n:2, pp:177-193 [Journal]
  18. Shiro Usui, Yoshifumi Arai, Shigeki Nakauchi
    Neural networks for device-independent digital color imaging. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:123, n:1-2, pp:115-125 [Journal]
  19. Peter Géczy, Shiro Usui
    Fuzzy Rule Acquisition from Trained Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:5, pp:357-367 [Journal]
  20. Taichi Hayasaka, Masashi Kitahara, Shiro Usui
    On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:1, pp:99-114 [Journal]
  21. Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno
    Upper bound of the expected training error of neural network regression for a Gaussian noise sequence. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:10, pp:1419-1429 [Journal]
  22. Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui
    Equivalence relation between the back propagation learning process of an FNN and that of an FNNG. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:2, pp:411-0 [Journal]
  23. Keihiro Ochiai, Naohiro Toda, Shiro Usui
    Kick-out learning algorithm to reduce the oscillation of weights. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:5, pp:797-807 [Journal]
  24. Keisuke Takebe, Shigeki Nakauchi, Shiro Usui
    A Computational Model for Color Constancy by Separating Reflectance and Illuminant Edges within a Scene. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1405-1415 [Journal]
  25. Shiro Usui
    Visiome: neuroinformatics research in vision project. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:9, pp:1293-1300 [Journal]
  26. Yutaka Hirata, Kazutsuna Yamaji, Hiroyuki Sakai, Shiro Usui
    Function of the pupil in vision and information capacity of retinal image. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2003, v:34, n:8, pp:48-57 [Journal]
  27. Masashi Kitahara, Taichi Hayasaka, Naohiro Toda, Shiro Usui
    On the statistical properties of least-square estimators of layered neural networks. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:12, pp:1-9 [Journal]
  28. Masashi Kitahara, Taichi Hayasaka, Shiro Usui
    On the statistical behavior of the learning error of layered neural networks. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:8, pp:49-58 [Journal]
  29. Shigeki Nakauchi, Masahiro Imamura, Shiro Usui
    Color gamut mapping by minimizing perceptual differences between images. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 1998, v:29, n:10, pp:46-56 [Journal]
  30. Toshihiko Ogura, Yoshimi Kamiyama, Shiro Usui
    Ionic current model for the inner-segment of a retinal photoreceptor. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 1997, v:28, n:13, pp:55-66 [Journal]
  31. Keisuke Takebe, Naoki Ito, Shigeki Nakauchi, Shiro Usui
    Digital color imaging with color constancy. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2003, v:34, n:1, pp:79-88 [Journal]
  32. Kazutsuna Yamaji, Yutaka Hirata, Shiro Usui
    A method for monitoring autonomic nervous activity by pupillary flash response. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2000, v:31, n:4, pp:22-31 [Journal]
  33. Kazutsuna Yamaji, Yutaka Hirata, Shiro Usui
    Improvement of the method for monitoring autonomic nervous activity by pupillary flash response. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2001, v:32, n:13, pp:23-30 [Journal]
  34. Taichi Hayasaka, Shigeki Nakauchi, Shiro Usui
    An analysis of viewpoint dependency in three-dimensional object recognition using support vector machines. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2006, v:37, n:1, pp:105-115 [Journal]

  35. Effective dynamic sample selection algorithm. [Citation Graph (, )][DBLP]


  36. Computational Understanding and Modeling of Filling-In Process at the Blind Spot. [Citation Graph (, )][DBLP]


  37. Engineering-Approach Accelerates Computational Understanding of V1-V2 Neural Properties. [Citation Graph (, )][DBLP]


  38. Development of Invertebrate Brain Platform: Management of Research Resources for Invertebrate Neuroscience and Neuroethology. [Citation Graph (, )][DBLP]


  39. Neuro-Imaging Platform for Neuroinformatics. [Citation Graph (, )][DBLP]


  40. Japanese Neuroinformatics Node and Platforms. [Citation Graph (, )][DBLP]


  41. A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. [Citation Graph (, )][DBLP]


  42. RAST: A Related Abstract Search Tool. [Citation Graph (, )][DBLP]


  43. Exploration of a Text Collection and Identification of Topics by Clustering. [Citation Graph (, )][DBLP]


  44. 3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. [Citation Graph (, )][DBLP]


  45. A Neuroinformatics Platform for Vision Science: Visiome. [Citation Graph (, )][DBLP]


  46. Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree. [Citation Graph (, )][DBLP]


  47. Basic Scheme of Neuroinformatics Platform: XooNIps. [Citation Graph (, )][DBLP]


  48. Acquisition of color opponent representation by a three-layered neural network model. [Citation Graph (, )][DBLP]


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