2004 |
14 | EE | Hiroshi Tsukimoto,
Mitsuru Kakimoto,
Chie Morita,
Yoshiaki Kikuchi:
Nonparametric regression analysis of functional brain images.
Systems and Computers in Japan 35(1): 67-78 (2004) |
2003 |
13 | EE | Hiroshi Tsukimoto,
Hisaaki Hatano:
The functional localization of neural networks using genetic algorithms.
Neural Networks 16(1): 55-67 (2003) |
2002 |
12 | EE | Hiroshi Tsukimoto,
Mitsuru Kakimoto,
Chie Morita,
Yoshiaki Kikuchi:
Rule Discovery from fMRI Brain Images by Logical Regression Analysis.
Progress in Discovery Science 2002: 232-245 |
2001 |
11 | EE | Hiroshi Tsukimoto:
Pattern reasoning: Logical reasoning of neural networks.
Systems and Computers in Japan 32(2): 1-10 (2001) |
2000 |
10 | EE | Hiroshi Tsukimoto,
Mitsuru Kakimoto,
Chie Morita,
Yoshiaki Kikuchi,
Eiko Hatakeyama,
Yoshifumi Miyazaki:
Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis.
Discovery Science 2000: 212-224 |
9 | | Mitsuru Kakimoto,
Chie Morita,
Yoshiaki Kikuchi,
Hiroshi Tsukimoto:
Data Mining from Functional Brain Images.
MDM/KDD 2000: 91-97 |
1999 |
8 | EE | Hiroshi Tsukimoto:
Rule Extraction from Prediction Models.
PAKDD 1999: 34-43 |
1998 |
7 | EE | Hiroshi Tsukimoto,
Chie Morita:
The Discovery of Rules from Brain Images.
Discovery Science 1998: 198-209 |
6 | EE | Chie Morita,
Hiroshi Tsukimoto:
Knowledge discovery from numerical data.
Knowl.-Based Syst. 10(7): 413-419 (1998) |
1997 |
5 | | Hiroshi Tsukimoto:
Extracting Propositions from Trained Neural Networks.
IJCAI 1997: 1098-1105 |
4 | EE | Hiroshi Tsukimoto,
Chie Morita,
Nobuhiro Shimogori:
An inductive learning algorithm based on regression analysis.
Systems and Computers in Japan 28(3): 62-70 (1997) |
1994 |
3 | | Hiroshi Tsukimoto:
The Discovery of Logical Propositions in Numerical Data.
KDD Workshop 1994: 205-216 |
2 | | Hiroshi Tsukimoto,
Chie Morita:
The Discovery of Propositions in Noisy Data.
Machine Intelligence 13 1994: 143-167 |
1993 |
1 | | Hiroshi Tsukimoto,
Chie Morita:
Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning.
Machine Intelligence 14 1993: 435- |