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Satoru Watanabe
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Journal Articles
- 2022
- [j7]Satoru Watanabe, Hayato Yamana:
Topological measurement of deep neural networks using persistent homology. Ann. Math. Artif. Intell. 90(1): 75-92 (2022) - [j6]Satoru Watanabe, Hayato Yamana:
Overfitting measurement of convolutional neural networks using trained network weights. Int. J. Data Sci. Anal. 14(3): 261-278 (2022) - 2017
- [j5]Takatomo Fujisawa, Rei Narikawa, Shin-ichi Maeda, Satoru Watanabe, Yu Kanesaki, Koichi Kobayashi, Jiro Nomata, Mitsumasa Hanaoka, Mai Watanabe, Shigeki Ehira, Eiji Suzuki, Koichiro Awai, Yasukazu Nakamura:
CyanoBase: a large-scale update on its 20th anniversary. Nucleic Acids Res. 45(Database-Issue): D551-D554 (2017) - 2010
- [j4]Junichi Hori, Kentarou Sunaga, Satoru Watanabe:
Signal and Noise Covariance Estimation Based on ICA for High-Resolution Cortical Dipole Imaging. IEICE Trans. Inf. Syst. 93-D(9): 2626-2634 (2010) - 2009
- [j3]Hiromi Arai, Satoru Watanabe, Takanori Kigawa, Masayuki Yamamura:
A new modeling method in feature construction for the HSQC spectra screening problem. Bioinform. 25(7): 948-953 (2009) - 2006
- [j2]Satoru Watanabe, Satoshi Okawa:
An extended star graph: a proposal of a new network topology and its fundamental properties. Int. J. Comput. Sci. Eng. 2(1/2): 32-36 (2006) - 2000
- [j1]Mikio Nagasawa, Daisuke Nishioka, Tsuneyuki Imaki, Satoru Watanabe, Yoshio Suzuki, Fabian Sievers:
What-If Scenario Explorer for Performance and Scalability Simulations. Parallel Distributed Comput. Pract. 3(4) (2000)
Conference and Workshop Papers
- 2021
- [c11]Garima Natani, Satoru Watanabe:
Knowledge Graph-based Data Transformation Recommendation Engine. IEEE BigData 2021: 4617-4623 - [c10]Satoru Watanabe, Hayato Yamana:
Overfitting Measurement of Deep Neural Networks Using No Data. DSAA 2021: 1-10 - 2020
- [c9]Satoru Watanabe, Hayato Yamana:
Deep Neural Network Pruning Using Persistent Homology. AIKE 2020: 153-156 - [c8]Satoru Watanabe, Hayato Yamana:
Topological Measurement of Deep Neural Networks Using Persistent Homology. ISAIM 2020 - 2019
- [c7]Satoru Watanabe, Kazuhisa Fujimoto, Yuji Saeki, Yoshifumi Fujikawa, Hiroshi Yoshino:
Column-Oriented Database Acceleration Using FPGAs. ICDE 2019: 686-697 - 2006
- [c6]Kotaro Funakoshi, Satoru Watanabe, Takenobu Tokunaga:
Group-Based Generation of Referring Expressions. INLG 2006: 73-80 - 2005
- [c5]Kotaro Funakoshi, Satoru Watanabe, Takenobu Tokunaga, Naoko Kuriyama:
Understanding Referring Expressions Involving Perceptual Grouping. CW 2005: 413-420 - 2004
- [c4]Kotaro Funakoshi, Satoru Watanabe, Naoko Kuriyama, Takenobu Tokunaga:
Generation of Relative Referring Expressions based on Perceptual Grouping. COLING 2004 - [c3]Kotaro Funakoshi, Satoru Watanabe, Naoko Kuriyama, Takenobu Tokunaga:
Generating Referring Expressions Using Perceptual Groups. INLG 2004: 51-60 - 2003
- [c2]Satoru Watanabe, Satoshi Okawa:
An Extended Star Graph: A Proposal of a New Network Topology and Its Fundamental Properties. ISPA 2003: 220-227 - 2001
- [c1]Madoka Mitsuoka, Satoru Watanabe, June Kakuta, Satoshi Okuyama:
Instant Messaging with Mobile Phones to Support Awareness. SAINT 2001: 223-230
Informal and Other Publications
- 2024
- [i2]Satoru Watanabe:
Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies. CoRR abs/2409.07081 (2024) - 2021
- [i1]Satoru Watanabe, Hayato Yamana:
Topological Measurement of Deep Neural Networks Using Persistent Homology. CoRR abs/2106.03016 (2021)
Coauthor Index
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