What-If Scenario Explorer for Performance and Scalability Simulations. - Mikio Nagasawa; Daisuke Nishioka; Tsuneyuki Imaki; Satoru Watanabe; Yoshio Suzuki; Fabian Sievers (Parallel Distributed Comput. Pract., 2000)

Instant Messaging with Mobile Phones to Support Awareness. - Madoka Mitsuoka; Satoru Watanabe; June Kakuta; Satoshi Okuyama (SAINT, 2001)

Generation of Relative Referring Expressions based on Perceptual Grouping. - Kotaro Funakoshi; Satoru Watanabe; Naoko Kuriyama; Takenobu Tokunaga (COLING, 2004)

Generating Referring Expressions Using Perceptual Groups. - Kotaro Funakoshi; Satoru Watanabe; Naoko Kuriyama; Takenobu Tokunaga (INLG, 2004)

Understanding Referring Expressions Involving Perceptual Grouping. - Kotaro Funakoshi; Satoru Watanabe; Takenobu Tokunaga; Naoko Kuriyama (CW, 2005)

Group-Based Generation of Referring Expressions. - Kotaro Funakoshi; Satoru Watanabe; Takenobu Tokunaga (INLG, 2006)

An extended star graph: a proposal of a new network topology and its fundamental properties. - Satoru Watanabe; Satoshi Okawa (Int. J. Comput. Sci. Eng., 2006)

A new modeling method in feature construction for the HSQC spectra screening problem. - Hiromi Arai; Satoru Watanabe; Takanori Kigawa; Masayuki Yamamura (Bioinform., 2009)

Signal and Noise Covariance Estimation Based on ICA for High-Resolution Cortical Dipole Imaging. - Junichi Hori; Kentarou Sunaga; Satoru Watanabe (IEICE Trans. Inf. Syst., 2010)

CyanoBase: a large-scale update on its 20th anniversary. - 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; et al. (Nucleic Acids Res., 2017)

Column-Oriented Database Acceleration Using FPGAs. - Satoru Watanabe; Kazuhisa Fujimoto; Yuji Saeki; Yoshifumi Fujikawa; Hiroshi Yoshino (ICDE, 2019)

Deep Neural Network Pruning Using Persistent Homology. - Satoru Watanabe; Hayato Yamana (AIKE, 2020)

Knowledge Graph-based Data Transformation Recommendation Engine. - Garima Natani; Satoru Watanabe (IEEE BigData, 2021)

Overfitting Measurement of Deep Neural Networks Using No Data. - Satoru Watanabe; Hayato Yamana (DSAA, 2021)

Topological measurement of deep neural networks using persistent homology. - Satoru Watanabe; Hayato Yamana (Ann. Math. Artif. Intell., 2022)

Overfitting measurement of convolutional neural networks using trained network weights. - Satoru Watanabe; Hayato Yamana (Int. J. Data Sci. Anal., 2022)

Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies. - Satoru Watanabe (CoRR, 2024)