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2020 – today
- 2022
[j4]Itsuki Maeda
, Akinori Sato, Shunsuke Tamura, Tomoyuki Miyao:
Ligand-based approaches to activity prediction for the early stage of structure-activity-relationship progression. J. Comput. Aided Mol. Des. 36(3): 237-252 (2022)- 2021
- [j3]Akinori Sato, Tomoyuki Miyao, Swarit Jasial, Kimito Funatsu:
Comparing predictive ability of QSAR/QSPR models using 2D and 3D molecular representations. J. Comput. Aided Mol. Des. 35(2): 179-193 (2021)
2010 – 2019
- 2018
- [c3]Akinori Sato, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase:
Gaze-Inspired Learning for Estimating the Attractiveness of a Food Photo. ISM 2018: 36-43 - 2015
- [c2]Yuto Yoshimura, Tomoaki Kondo, Michihiro Kawanishi, Tatsuo Narikiyo, Akinori Sato:
Model predictive control of EV storage battery with HEMS based on particle swarm optimization. ISGT Asia 2015: 1-5
2000 – 2009
- 2009
- [j2]Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi:
Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection. Stat. Anal. Data Min. 2(1): 1-17 (2009) - 2008
- [c1]Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato:
Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection. SDM 2008: 472-482
1990 – 1999
- 1998
- [j1]Koichi Kise, Akinori Sato, Motoi Iwata:
Segmentation of Page Images Using the Area Voronoi Diagram. Comput. Vis. Image Underst. 70(3): 370-382 (1998)
Coauthor Index
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