Kazuki Sato

19 papers A 1B 2C 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method.
Int. J. Comput. Assist. Radiol. Surg.
Sota Kusakari, Kazuki Sato, Yuta Tsushima, Masahiro Matsuoka, Tenta Sasaya, Naoki Sunaguchi, Keisuke Matsubara, Hidekazu Kawashima, Kazuyuki Hyodo, Tetsuya Yuasa, Tsutomu Zeniya
2025 — conf
Revisiting Relations of Security Notions in Searchable Encryption.
APKC@AsiaCCS
Kazuki Sato, Takumi Amada, Kyoichi Asano, Yohei Watanabe, Mitsugu Iwamoto, Kazuo Ohta
2025 — conf
SoK: Searchable Encryption with Differential Privacy.
APKC@AsiaCCS
Christopher Johann Clarke, Yugo Kasashima, Kazuki Sato, Yohei Watanabe
2024 J jnl
The Reality of a Head-Mounted Display (HMD) Environment Tested via Lightness Perception.
J. Imaging
Ichiro Kuriki, Kazuki Sato, Satoshi Shioiri
2023 — conf
Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation.
BI
Luis Alfredo Moctezuma, Kazuki Sato, Marta Molinas, Takashi Abe
2023 J jnl
Development of a Simple and Lightweight Phantom for Evaluating Human Body Avoidance Technology in Microwave Wireless Power Transfer.
IEICE Trans. Commun.
Kazuki Sato, Kazuyuki Saito
2022 J jnl
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity.
IEEE Trans. Cybern.
Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara
2022 J jnl
Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data.
IEICE Trans. Inf. Syst.
Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara
2021 J jnl
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss.
CoRR
Masaki Nakanishi, Kazuki Sato, Hideo Terada
2020 J jnl
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data.
npj Digit. Medicine
Kotaro Miura, Shinichi Goto, Yoshinori Katsumata, Hidehiko Ikura, Yasuyuki Shiraishi, Kazuki Sato, Keiichi Fukuda
2019 — conf
Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning.
AINA Workshops
Kazuki Sato, Tomonobu Ozaki
2019 B conf
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation.
IJCNN
Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara
2017 — conf
A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks.
IIH-MSP (2)
Kazuki Sato, Takashi Nose, Akira Ito, Yuya Chiba, Akinori Ito, Takahiro Shinozaki
2014 C conf
Error performance for non-destructive quantum receiver of M-ary coherent-state signals.
ISITA
Kazuki Sato, Kenji Nakahira, Shogo Usami, Tsuyoshi Sasaki Usuda
2013 — conf
Motion estimation for environment-contact task with position controlled manipulator.
ISR
Kazuki Sato, Yasumichi Aiyama
2012 — conf
Task management principles for e-learning environments.
HCCE
Ruth Cortez, Alexander Vazhenin, Kazuki Sato
2006 — conf
MANET Protocol for Information Gathering from Disaster Victims.
PerCom Workshops
Takaaki Umedu, Hiroaki Urabe, Jun Tsukamoto, Kazuki Sato, Teruo Higashino
2005 A conf
Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation.
MSWiM
Kumiko Maeda, Kazuki Sato, Kazuki Konishi, Akiko Yamasaki, Akira Uchiyama, Hirozumi Yamaguchi, Keiichi Yasumoto, Teruo Higashino
2005 B conf
MobiREAL Simulator Evaluating MANET Applications in Real Environments.
MASCOTS
Kazuki Konishi, Kumiko Maeda, Kazuki Sato, Akiko Yamasaki, Hirozumi Yamaguchi, Teruo Higashino, Keiichi Yasumoto