2008 |
47 | EE | Shiro Usui,
Yoshihiro Okumura:
Basic Scheme of Neuroinformatics Platform: XooNIps.
WCCI 2008: 102-116 |
46 | EE | Jan G. Bjaalie,
Sten Grillner,
Shiro Usui:
Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system.
Neural Networks 21(8): 1045-1046 (2008) |
45 | EE | Antoine Naud,
Shiro Usui:
Exploration of a collection of documents in neuroscience and extraction of topics by clustering.
Neural Networks 21(8): 1205-1211 (2008) |
2007 |
44 | EE | Shunji Satoh,
Shiro Usui:
Engineering-Approach Accelerates Computational Understanding of V1-V2 Neural Properties.
ICONIP (1) 2007: 1051-1060 |
43 | EE | Shunji Satoh,
Shiro Usui:
Computational Understanding and Modeling of Filling-In Process at the Blind Spot.
ICONIP (1) 2007: 943-952 |
42 | EE | Shiro Usui,
Teiichi Furuichi,
Hiroyoshi Miyakawa,
Hidetoshi Ikeno,
Soichi Nagao,
Toshio Iijima,
Yoshimi Kamiyama,
Tadashi Isa,
Ryoji Suzuki,
Hiroshi Ishikane:
Japanese Neuroinformatics Node and Platforms.
ICONIP (2) 2007: 884-894 |
41 | EE | Ryoji Suzuki,
Kazuhisa Niki,
Norio Fujimaki,
Shinobu Masaki,
Kazuhisa Ichikawa,
Shiro Usui:
Neuro-Imaging Platform for Neuroinformatics.
ICONIP (2) 2007: 895-904 |
40 | EE | Hidetoshi Ikeno,
Ryohei Kanzaki,
Hitoshi Aonuma,
Masakazu Takahata,
Makoto Mizunami,
Kouji Yasuyama,
Nobuyuki Matsui,
Fumio Yokohari,
Shiro Usui:
Development of Invertebrate Brain Platform: Management of Research Resources for Invertebrate Neuroscience and Neuroethology.
ICONIP (2) 2007: 905-914 |
39 | EE | Antoine Naud,
Shiro Usui:
Exploration of a Text Collection and Identification of Topics by Clustering.
IDEAL 2007: 115-124 |
38 | EE | Shiro Usui,
Antoine Naud,
Naonori Ueda,
Tatsuki Taniguchi:
3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization.
IJCNN 2007: 1103-1108 |
37 | EE | Shiro Usui:
A Neuroinformatics Platform for Vision Science: Visiome.
IJCNN 2007: 2466-2470 |
2006 |
36 | EE | Shiro Usui,
Paulito P. Palmes,
Kazunori Nagata,
Tatsuki Taniguchi,
Naonori Ueda:
Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree.
IJCNN 2006: 5045-5050 |
35 | EE | Taichi Hayasaka,
Shigeki Nakauchi,
Shiro Usui:
An analysis of viewpoint dependency in three-dimensional object recognition using support vector machines.
Systems and Computers in Japan 37(1): 105-115 (2006) |
2005 |
34 | EE | Shiro Usui:
Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node.
ICNC (1) 2005: 1074-1079 |
33 | EE | Paulito P. Palmes,
Shiro Usui:
Invasive Connectionist Evolution.
ICNC (3) 2005: 1119-1127 |
32 | EE | Masashi Kitahara,
Taichi Hayasaka,
Shiro Usui:
On the statistical behavior of the learning error of layered neural networks.
Systems and Computers in Japan 36(8): 49-58 (2005) |
2004 |
31 | EE | Paulito P. Palmes,
Shiro Usui:
The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution.
ICONIP 2004: 199-204 |
30 | | Peter Géczy,
Shiro Usui,
J. Chmúrny,
D. Repcik,
M. Líska,
J. Stulrajter:
Dynamic instance selection for first order adaptable systems.
Neural Networks and Computational Intelligence 2004: 119-124 |
29 | EE | Taichi Hayasaka,
Masashi Kitahara,
Shiro Usui:
On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models.
Neural Computation 16(1): 99-114 (2004) |
28 | EE | Masashi Kitahara,
Taichi Hayasaka,
Naohiro Toda,
Shiro Usui:
On the statistical properties of least-square estimators of layered neural networks.
Systems and Computers in Japan 35(12): 1-9 (2004) |
2003 |
27 | EE | Paulito P. Palmes,
Taichi Hayasaka,
Shiro Usui:
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks.
GECCO 2003: 1600-1601 |
26 | EE | Shiro Usui:
Visiome: neuroinformatics research in vision project.
Neural Networks 16(9): 1293-1300 (2003) |
25 | EE | Keisuke Takebe,
Naoki Ito,
Shigeki Nakauchi,
Shiro Usui:
Digital color imaging with color constancy.
Systems and Computers in Japan 34(1): 79-88 (2003) |
24 | EE | Yutaka Hirata,
Kazutsuna Yamaji,
Hiroyuki Sakai,
Shiro Usui:
Function of the pupil in vision and information capacity of retinal image.
Systems and Computers in Japan 34(8): 48-57 (2003) |
2001 |
23 | EE | Taichi Hayasaka,
Eiichi Ohnishi,
Shigeki Nakauchi,
Shiro Usui:
Analysis on the Viewpoint Dependency in 3-D Object Recognition by Support Vector Machines.
IWANN (2) 2001: 176-183 |
22 | EE | 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.
Neural Networks 14(10): 1419-1429 (2001) |
21 | EE | Kazutsuna Yamaji,
Yutaka Hirata,
Shiro Usui:
Improvement of the method for monitoring autonomic nervous activity by pupillary flash response.
Systems and Computers in Japan 32(13): 23-30 (2001) |
2000 |
20 | EE | Katsuyuki Hagiwara,
Kazuhiro Kuno,
Shiro Usui:
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.
IJCNN (6) 2000: 461-466 |
19 | | Shiro Usui,
Yoshifumi Arai,
Shigeki Nakauchi:
Neural networks for device-independent digital color imaging.
Inf. Sci. 123(1-2): 115-125 (2000) |
18 | EE | Hidetoshi Ikeno,
Shiro Usui:
Basic computational properties of Kenyon cell in the mushroom body of honeybee.
Neurocomputing 32-33: 167-172 (2000) |
17 | EE | Kazutsuna Yamaji,
Yutaka Hirata,
Shiro Usui:
A method for monitoring autonomic nervous activity by pupillary flash response.
Systems and Computers in Japan 31(4): 22-31 (2000) |
1999 |
16 | EE | Peter Géczy,
Shiro Usui:
Fuzzy Rule Acquisition from Trained Artificial Neural Networks.
JACIII 3(5): 357-367 (1999) |
15 | EE | Hidetoshi Ikeno,
Shiro Usui:
Mathematical description of ionic currents of the Kenyon cell in the mushroom body of honeybee.
Neurocomputing 26-27: 177-184 (1999) |
1998 |
14 | | Shiro Usui,
Takashi Omori:
The Fifth International Conference on Neural Information Processing, ICONIP'R98, Kitakyushu, Japan, October 21-23, 1998, Proceedings
IOA Press 1998 |
13 | | Peter Géczy,
Shiro Usui:
Theoretical Analysis and Classification of Training Problem in Neural Networks.
ICONIP 1998: 1381-1384 |
12 | | Toshihiro Aoyama,
Yoshimi Kamiyama,
Shiro Usui,
Roman Blanco,
Pedro de la Villa,
Cecilia F. Vaquero:
Ionic Current Model of Rabbit Retinal Horizontal Cell.
ICONIP 1998: 1521-1524 |
11 | | Peter Géczy,
Shiro Usui:
Deterministic Approach to Dynamic Sample Selection.
ICONIP 1998: 1612-1615 |
10 | | Tetsuo Iga,
Yoshifumi Arai,
Shiro Usui:
Trend of a Present Color Management Technology in the Industry.
ICONIP 1998: 40-43 |
9 | | Katsuyuki Hagiwara,
Kazuhiro Kuno,
Shiro Usui:
Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise.
ICONIP 1998: 502-505 |
8 | | Peter Géczy,
Shiro Usui:
Theoretical Concept of Network Pruning Based on Functional Convergence.
ICONIP 1998: 635-638 |
7 | EE | Shigeki Nakauchi,
Masahiro Imamura,
Shiro Usui:
Color gamut mapping by minimizing perceptual differences between images.
Systems and Computers in Japan 29(10): 46-56 (1998) |
1997 |
6 | EE | Jacek M. Zurada,
Aleksander Malinowski,
Shiro Usui:
Perturbation method for deleting redundant inputs of perceptron networks.
Neurocomputing 14(2): 177-193 (1997) |
5 | EE | Toshihiko Ogura,
Yoshimi Kamiyama,
Shiro Usui:
Ionic current model for the inner-segment of a retinal photoreceptor.
Systems and Computers in Japan 28(13): 55-66 (1997) |
1996 |
4 | EE | Keisuke Takebe,
Shigeki Nakauchi,
Shiro Usui:
A Computational Model for Color Constancy by Separating Reflectance and Illuminant Edges within a Scene.
Neural Networks 9(8): 1405-1415 (1996) |
1994 |
3 | EE | Qi Jia,
Katsuyuki Hagiwara,
Naohiro Toda,
Shiro Usui:
Equivalence relation between the back propagation learning process of an FNN and that of an FNNG.
Neural Networks 7(2): 411- (1994) |
2 | EE | Keihiro Ochiai,
Naohiro Toda,
Shiro Usui:
Kick-out learning algorithm to reduce the oscillation of weights.
Neural Networks 7(5): 797-807 (1994) |
1989 |
1 | | Shiro Usui:
Neural Computing.
IFIP Congress 1989: 371-374 |