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ORCIDKazuki Sato
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2020 – today
- 2024
[j5]Ichiro Kuriki
, Kazuki Sato, Satoshi Shioiri:
The Reality of a Head-Mounted Display (HMD) Environment Tested via Lightness Perception. J. Imaging 10(2): 36 (2024)- 2023
- [j4]Kazuki Sato, Kazuyuki Saito:
Development of a Simple and Lightweight Phantom for Evaluating Human Body Avoidance Technology in Microwave Wireless Power Transfer. IEICE Trans. Commun. 106(8): 645-651 (2023) - [c10]Luis Alfredo Moctezuma, Kazuki Sato, Marta Molinas, Takashi Abe:
Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation. BI 2023: 71-82 - 2022
- [j3]Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara:
Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. IEICE Trans. Inf. Syst. 105-D(2): 436-440 (2022) - [j2]Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara:
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. IEEE Trans. Cybern. 52(6): 5161-5173 (2022) - 2021
- [i1]Masaki Nakanishi, Kazuki Sato, Hideo Terada:
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss. CoRR abs/2105.10214 (2021) - 2020
- [j1]Kotaro Miura, Shinichi Goto, Yoshinori Katsumata, Hidehiko Ikura, Yasuyuki Shiraishi, Kazuki Sato, Keiichi Fukuda:
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [c9]Kazuki Sato, Tomonobu Ozaki:
Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning. AINA Workshops 2019: 314-323 - [c8]Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara:
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. IJCNN 2019: 1-7 - 2017
- [c7]Kazuki Sato, Takashi Nose, Akira Ito, Yuya Chiba, Akinori Ito, Takahiro Shinozaki:
A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks. IIH-MSP (2) 2017: 112-118 - 2014
- [c6]Kazuki Sato, Kenji Nakahira, Shogo Usami, Tsuyoshi Sasaki Usuda:
Error performance for non-destructive quantum receiver of M-ary coherent-state signals. ISITA 2014: 246-249 - 2013
- [c5]Kazuki Sato, Yasumichi Aiyama:
Motion estimation for environment-contact task with position controlled manipulator. ISR 2013: 1-5 - 2012
- [c4]Ruth Cortez, Alexander Vazhenin, Kazuki Sato:
Task management principles for e-learning environments. HCCE 2012: 32-38
2000 – 2009
- 2006
- [c3]Takaaki Umedu, Hiroaki Urabe, Jun Tsukamoto, Kazuki Sato, Teruo Higashino:
MANET Protocol for Information Gathering from Disaster Victims. PerCom Workshops 2006: 442-446 - 2005
- [c2]Kazuki Konishi, Kumiko Maeda, Kazuki Sato, Akiko Yamasaki, Hirozumi Yamaguchi, Teruo Higashino, Keiichi Yasumoto:
MobiREAL Simulator Evaluating MANET Applications in Real Environments. MASCOTS 2005: 499-502 - [c1]Kumiko Maeda, Kazuki Sato, Kazuki Konishi, Akiko Yamasaki, Akira Uchiyama, Hirozumi Yamaguchi, Keiichi Yasumoto, Teruo Higashino:
Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation. MSWiM 2005: 151-158
Coauthor Index
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