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Hiroshi Tsukimoto Vis

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*2004
15EEHiroshi 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
14EEHiroshi Tsukimoto, Hisaaki Hatano: The functional localization of neural networks using genetic algorithms. Neural Networks 16(1): 55-67 (2003)
2002
13EEHiroshi 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
12EEHiroshi Tsukimoto: Pattern reasoning: Logical reasoning of neural networks. Systems and Computers in Japan 32(2): 1-10 (2001)
2000
11EEHiroshi 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
10 Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, Hiroshi Tsukimoto: Data Mining from Functional Brain Images. MDM/KDD 2000: 91-97
1999
9EEHiroshi Tsukimoto: Rule Extraction from Prediction Models. PAKDD 1999: 34-43
1998
8EEHiroshi Tsukimoto, Chie Morita: The Discovery of Rules from Brain Images. Discovery Science 1998: 198-209
7EEChie Morita, Hiroshi Tsukimoto: Knowledge discovery from numerical data. Knowl.-Based Syst. 10(7): 413-419 (1998)
1997
6 Hiroshi Tsukimoto: Extracting Propositions from Trained Neural Networks. IJCAI 1997: 1098-1105
5EEHiroshi Tsukimoto, Chie Morita, Nobuhiro Shimogori: An inductive learning algorithm based on regression analysis. Systems and Computers in Japan 28(3): 62-70 (1997)
1996
4 Chie Morita, Hiroshi Tsukimoto: Knowledge Discovery from Numerical Data. IEA/AIE 1996: 425-430
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-

Coauthor Index

1Eiko Hatakeyama [11]
2Hisaaki Hatano [14]
3Mitsuru Kakimoto [10] [11] [13] [15]
4Yoshiaki Kikuchi [10] [11] [13] [15]
5Yoshifumi Miyazaki [11]
6Chie Morita [1] [2] [4] [5] [7] [8] [10] [11] [13] [15]
7Nobuhiro Shimogori [5]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)