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Yuki Yamaguchi
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2020 – today
- 2023
- [c6]Kosuke Kinoshita, Takahiro Kumura, Yuki Yamaguchi, Taichi Tanaka:
Anomalous Displacement Detection of Bridges Using Satellite SAR: A Case Study on a Collapse of Musota Water Pipe Bridge. IGARSS 2023: 1720-1723 - [c5]Yuki Yamaguchi, Taichi Tanaka, Masato Toda:
Change Detection Robust to Orbital Variation using Bayesian SAR Tomography. IGARSS 2023: 5786-5789
2010 – 2019
- 2019
- [j4]Yuki Yamaguchi, Kohei Shimizu, Atsushi Matsuzaki, Daisuke Sano, Tomoya Sato
, Yuya Tanaka
, Hisao Ishii
:
Gap States of a Polyethylene Model Oligomer Observed by Using High-Sensitivity Ultraviolet Photoelectron Spectroscopy. IEICE Trans. Electron. 102-C(2): 168-171 (2019) - 2016
- [j3]Yuko Sano, Akihiko Kandori
, Keisuke Shima
, Yuki Yamaguchi, Toshio Tsuji
, Masafumi Noda, Fumiko Higashikawa, Masaru Yokoe, Saburo Sakoda:
Quantifying Parkinson's disease finger-tapping severity by extracting and synthesizing finger motion properties. Medical Biol. Eng. Comput. 54(6): 953-965 (2016) - [c4]Hiroaki Togashi, Hiroshi Furukawa, Yuki Yamaguchi, Ryuta Abe, Junpei Shimamura:
Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. IPIN 2016: 1-8 - 2015
- [j2]Kuniaki Noda, Yuki Yamaguchi, Kazuhiro Nakadai, Hiroshi G. Okuno
, Tetsuya Ogata
:
Audio-visual speech recognition using deep learning. Appl. Intell. 42(4): 722-737 (2015) - 2014
- [c3]Kuniyuki Takahashi, Tetsuya Ogata
, Hadi Tjandra, Yuki Yamaguchi, Yuki Suga, Shigeki Sugano
:
Tool-body assimilation model using a neuro-dynamical system for acquiring representation of tool function and motion. AIM 2014: 1255-1260 - [c2]Kuniaki Noda, Yuki Yamaguchi, Kazuhiro Nakadai, Hiroshi G. Okuno, Tetsuya Ogata:
Lipreading using convolutional neural network. INTERSPEECH 2014: 1149-1153 - 2013
- [j1]Jeff Kershaw, Christoph Leuze, Ichio Aoki
, Takayuki Obata
, Iwao Kanno, Hiroshi Ito, Yuki Yamaguchi
, Hiroshi Handa:
Systematic changes to the apparent diffusion tensor of in vivo rat brain measured with an oscillating-gradient spin-echo sequence. NeuroImage 70: 10-20 (2013) - [c1]Yuki Yamaguchi, Kuniaki Noda, Shun Nishide, Hiroshi G. Okuno
, Tetsuya Ogata:
Learning and association of synaesthesia phenomenon using deep neural networks. SII 2013: 659-664
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last updated on 2023-11-08 22:58 CET by the dblp team
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