Masato Kiyama

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 15

Top Topics

Rainfall Runoff

Temporal Dependencies

Top Venues

IEICE Trans. Inf. Syst.

Publications

Shoki Sakaguchi, Motoki Amagasaki, Masato Kiyama, Toshiaki Okamoto
Multi-Camera People Tracking With Spatio-Temporal and Group Considerations. IEEE Access 12 (2024)
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) (2024)
Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita
A Deep Neural Network Translator for Edge Site Implementation. CANDARW (2023)
Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama
A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression. IEEE Access 11 (2023)
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. (3) (2022)
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 (2022)
Masato Kiyama, Motoki Amagasaki, Masahiro Iida
Development of Quantized DNN Library for Exact Hardware Emulation. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Yasuhiro Nakahara, Masato Kiyama, Motoki Amagasaki, Masahiro Iida
Relationship between Recognition Accuracy and Numerical Precision in Convolutional Neural Network Models. IEICE Trans. Inf. Syst. (12) (2020)
Theingi Myint, Motoki Amagasaki, Qian Zhao, Masahiro Iida, Masato Kiyama
A Novel SLM-Based Virtual FPGA Overlay Architecture. MCSoC (2019)
Masato Kiyama, Motoki Amagasaki, Masahiro Iida
Deep Learning Framework with Arbitrary Numerical Precision. MCSoC (2019)
Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida
A Quantized Neural Network Library for Proper Implementation of Hardware Emulation. CANDAR Workshops (2019)
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)
Hidenori Umeno, Masato Kiyama, Takafumi Fukunaga, Takashige Kubo
New Method for Dispatching Waiting Logical Processors in Virtual Machine Systems. COMPSAC (1) (2005)