MobiREAL Simulator Evaluating MANET Applications in Real Environments. - Kazuki Konishi; Kumiko Maeda; Kazuki Sato; Akiko Yamasaki; Hirozumi Yamaguchi; Teruo Higashino; Keiichi Yasumoto (MASCOTS, 2005)

Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation. - Kumiko Maeda; Kazuki Sato; Kazuki Konishi; Akiko Yamasaki; Akira Uchiyama; Hirozumi Yamaguchi; Keiichi Yasumoto; Teruo Higashino (MSWiM, 2005)

MANET Protocol for Information Gathering from Disaster Victims. - Takaaki Umedu; Hiroaki Urabe; Jun Tsukamoto; Kazuki Sato; Teruo Higashino (PerCom Workshops, 2006)

Task management principles for e-learning environments. - Ruth Cortez; Alexander Vazhenin; Kazuki Sato (HCCE, 2012)

Motion estimation for environment-contact task with position controlled manipulator. - Kazuki Sato; Yasumichi Aiyama (ISR, 2013)

Error performance for non-destructive quantum receiver of M-ary coherent-state signals. - Kazuki Sato; Kenji Nakahira; Shogo Usami; Tsuyoshi Sasaki Usuda (ISITA, 2014)

A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks. - Kazuki Sato; Takashi Nose; Akira Ito 002; Yuya Chiba; Akinori Ito; Takahiro Shinozaki (IIH-MSP (2), 2017)

Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning. - Kazuki Sato; Tomonobu Ozaki (AINA Workshops, 2019)

Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. - Kazuki Sato; Kenta Hama; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2019)

Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data. - Kotaro Miura; Shinichi Goto; Yoshinori Katsumata; Hidehiko Ikura; Yasuyuki Shiraishi; Kazuki Sato; Keiichi Fukuda (npj Digit. Medicine, 2020)

Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss. - Masaki Nakanishi; Kazuki Sato; Hideo Terada (CoRR, 2021)

Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. - Kazuki Sato; Satoshi Nakata; Takashi Matsubara 001; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2022)

Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. - Takashi Matsubara 001; Kazuki Sato; Kenta Hama; Ryosuke Tachibana; Kuniaki Uehara (IEEE Trans. Cybern., 2022)

Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation. - Luis Alfredo Moctezuma; Kazuki Sato; Marta Molinas; Takashi Abe (BI, 2023)

Development of a Simple and Lightweight Phantom for Evaluating Human Body Avoidance Technology in Microwave Wireless Power Transfer. - Kazuki Sato; Kazuyuki Saito (IEICE Trans. Commun., 2023)

The Reality of a Head-Mounted Display (HMD) Environment Tested via Lightness Perception. - Ichiro Kuriki; Kazuki Sato; Satoshi Shioiri (J. Imaging, 2024)

SoK: Searchable Encryption with Differential Privacy. - Christopher Johann Clarke; Yugo Kasashima; Kazuki Sato; Yohei Watanabe 001 (APKC@AsiaCCS, 2025)

Revisiting Relations of Security Notions in Searchable Encryption. - Kazuki Sato; Takumi Amada; Kyoichi Asano; Yohei Watanabe 001; Mitsugu Iwamoto; Kazuo Ohta (APKC@AsiaCCS, 2025)

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. - Sota Kusakari; Kazuki Sato; Yuta Tsushima; Masahiro Matsuoka; Tenta Sasaya; Naoki Sunaguchi; Keisuke Matsubara; Hidekazu Kawashima; Kazuyuki Hyodo; Tetsuya Yuasa; Tsutomu Zeniya (Int. J. Comput. Assist. Radiol. Surg., 2025)