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2020 – today
- 2023
[c8]Ken Sato, Daisuke Suzuki:
Design of a Nonvolatile-Neural-Network-Accelerator-Embedded Edge-IoT Device and Its Hardware Emulation. MCSoC 2023: 379-385- 2022
- [j4]Ryota Yoshimura
, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization. IEICE Trans. Inf. Syst. 105-D(5): 1010-1023 (2022) - [j3]Keita Mori, Naohiro Yamauchi, Haoyu Wang, Ken Sato, Yu Toyoshima, Yuichi Iino:
Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior. Neural Networks 145: 107-120 (2022) - 2021
- [c7]Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Adversarial Reinforcement Learning Based Robustification of Highlighted Map for Mobile Robot Localization. SICE 2021: 599-605 - 2020
- [j2]Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning. IEEE Access 8: 201527-201544 (2020)
2010 – 2019
- 2011
- [c6]Ken Sato, Koichi Miyazaki, Junji Mawaribuchi:
Simple Portfolio Strategies Utilizing Inflation Factor in Japanese Equity Market. ICCS 2011: 1716-1725 - 2010
- [j1]Ken Sato, Naoki Miyata, Yoshitsugu Kamimura, Yoshifumi Yamada:
A Freehand Scanning Method for Measuring EMF Distributions Using Magnetic Tracker. IEICE Trans. Commun. 93-B(7): 1865-1868 (2010)
2000 – 2009
- 2000
- [c5]Ken Sato, Tadashi Horiuchi, Toshihiro Hiraoka, Hiroshi Kawakami, Osamu Katai:
Decision making process via constraint-oriented fuzzy logic based on Chu space theory. FUZZ-IEEE 2000: 222-227
1990 – 1999
- 1999
- [c4]Norio Baba, Hiroyuki Asakawa, Ken Sato:
Application of techniques of computational intelligence for constructing reliable decision support systems. IJCNN 1999: 3856-3859 - [c3]Ken Sato, Tadashi Horiuchi, Toshihiro Hiraoka, Hiroshi Kawakami, Osamu Katai:
Fuzzy Logic as Interfacing Media for Contraint Propagation Based on Theories of Chu Space and Information Flow. RSFDGrC 1999: 314-323 - 1998
- [c2]Norio Baba, Ken Sato:
A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum. KES (3) 1998: 7-12 - [c1]Ken Sato, Norio Baba:
A research concerning a concept generation and an action of an agent. KES (3) 1998: 32-35
Coauthor Index
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