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2020 – today
- 2026
[c5]Nanami Inoue
, Takamasa Kikuchi, Koki Shibata, Makoto Yoshida, Tomokazu Matsui, Hirohiko Suwa, Keiichi Yasumoto:
Desk work activity recognition using multiple vibration sensors and machine learning. ICDCN Companion 2026: 108-113- 2025
- [j1]Koki Shibata, Sumiko Miyata:
Edge Server Placement and Task Allocation for Maximum Delay Reduction. IEEE Open J. Commun. Soc. 6: 6207-6217 (2025) - [c4]Junnosuke Furukawa, Koki Shibata, Kenshin Yamauchi, Naoko Misawa, Satoshi Awamura, Chihiro Matsui, Ken Takeuchi:
Bayesian Neural Network Realization by Random Telegraph Noise in 40nm TaOX ReRAM CiM. IMW 2025: 1-4 - [c3]Takamasa Kikuchi, Koki Shibata, Keiichi Yasumoto, Jinxiao Zhu, Yin Chen:
Poster: Evaluating Effectiveness of Temporal Features and DTW Distance for Radio Frequency Fingerprinting. MobiCom 2025: 1296-1298 - [i3]Koki Shibata, Tianheng Ling, Chao Qian, Tomokazu Matsui, Hirohiko Suwa, Keiichi Yasumoto, Gregor Schiele:
Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks. CoRR abs/2510.23156 (2025) - 2024
- [i2]Taketo Tsujimoto, Koki Shibata, Takuya Mieno, Yuto Nakashima, Shunsuke Inenaga:
Computing Longest Common Subsequence under Cartesian-Tree Matching Model. CoRR abs/2402.19146 (2024) - 2023
- [c2]Takuro Fujii, Koki Shibata, Atsuki Yamaguchi, Terufumi Morishita, Yasuhiro Sogawa:
How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese. ACL (student) 2023: 39-49 - [i1]Takuro Fujii, Koki Shibata, Atsuki Yamaguchi, Terufumi Morishita, Yasuhiro Sogawa:
How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese. CoRR abs/2306.09572 (2023) - 2022
- [c1]Koki Shibata, Makoto P. Kato:
Active Learning for Efficient Partial Improvement of Learning to Rank. ICADL 2022: 135-143
Coauthor Index
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