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2020 – today
- 2024
[j6]Shoki Sakaguchi
, Motoki Amagasaki, Masato Kiyama, Toshiaki Okamoto:
Multi-Camera People Tracking With Spatio-Temporal and Group Considerations. IEEE Access 12: 36066-36073 (2024)- [j5]Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita:
Advanced Implementation of DNN Translator using ResNet9 for Edge Devices. Int. J. Netw. Comput. 14(2): 145-156 (2024) - 2023
- [j4]Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama:
A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression. IEEE Access 11: 103544-103553 (2023) - [c6]Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita:
A Deep Neural Network Translator for Edge Site Implementation. CANDARW 2023: 52-55 - 2022
- [j3]Yasuhiro Nakahara, Masato Kiyama, Motoki Amagasaki, Qian Zhao, Masahiro Iida:
Reconfigurable Neural Network Accelerator and Simulator for Model Implementation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(3): 448-458 (2022) - [j2]Yasuhiro Nakahara, Yuta Masuda, Masato Kiyama, Motoki Amagasaki, Masahiro Iida:
A Posit Based Multiply-accumulate Unit with Small Quire Size for Deep Neural Networks. IPSJ Trans. Syst. LSI Des. Methodol. 15: 16-19 (2022) - 2021
- [i5]Kei Ishida, Masato Kiyama, Ali Ercan, Motoki Amagasaki, Tongbi Tu, Makoto Ueda:
Multi-Time-Scale Input Approaches for Hourly-Scale Rainfall-Runoff Modeling based on Recurrent Neural Networks. CoRR abs/2103.10932 (2021) - [i4]Kazuki Yokoo, Kei Ishida, Ali Ercan, Tongbi Tu, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki:
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM. CoRR abs/2106.07963 (2021) - [i3]Masato Kiyama, Motoki Amagasaki, Masahiro Iida:
Development of Quantized DNN Library for Exact Hardware Emulation. CoRR abs/2106.08892 (2021) - [i2]Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki:
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling. CoRR abs/2111.04732 (2021) - [i1]Takeyoshi Nagasato, Kei Ishida, Ali Ercan, Tongbi Tu, Masato Kiyama, Motoki Amagasaki, Kazuki Yokoo:
Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling. CoRR abs/2112.06571 (2021) - 2020
- [j1]Yasuhiro Nakahara, Masato Kiyama, Motoki Amagasaki, Masahiro Iida:
Relationship between Recognition Accuracy and Numerical Precision in Convolutional Neural Network Models. IEICE Trans. Inf. Syst. 103-D(12): 2528-2529 (2020)
2010 – 2019
- 2019
- [c5]Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida:
A Quantized Neural Network Library for Proper Implementation of Hardware Emulation. CANDAR Workshops 2019: 136-140 - [c4]Theingi Myint, Motoki Amagasaki, Qian Zhao, Masahiro Iida, Masato Kiyama:
A Novel SLM-Based Virtual FPGA Overlay Architecture. MCSoC 2019: 74-80 - [c3]Masato Kiyama, Motoki Amagasaki, Masahiro Iida:
Deep Learning Framework with Arbitrary Numerical Precision. MCSoC 2019: 81-86
2000 – 2009
- 2006
- [c2]Hyo Ashihara, Ai Kuramoto, Isaku Wada, Makoto Matsumoto, Hironori Kikuchi, Masato Kiyama:
Parallel Computations Reveal Hidden Errors of Commonly Used Random Number Generators. CSC 2006: 85-90 - 2005
- [c1]Hidenori Umeno, Masato Kiyama, Takafumi Fukunaga, Takashige Kubo:
New Method for Dispatching Waiting Logical Processors in Virtual Machine Systems. COMPSAC (1) 2005: 551-560
Coauthor Index
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