Ship Classification from SAR Images Based on Deep Learning. - Shintaro Hashimoto; Yohei Sugimoto; Ko Hamamoto; Naoki Ishihama (IntelliSys (1), 2018)

Self-localization from a 360-Degree Camera Based on the Deep Neural Network. - Shintaro Hashimoto; Kosuke Namihira (CVC (1), 2019)

Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout. - Tomoyuki Myojin; Shintaro Hashimoto; Kenji Mori; Keisuke Sugawara; Naoki Ishihama (ICANN (3), 2019)

System Construction for Both Lunar Obstacle Detection and Annotation Support Based on Neurons' Decision Validity. - Shintaro Hashimoto; Kenji Mori (ICIP, 2019)

Lunar Crater Detection based on Grid Partition using Deep Learning. - Shintaro Hashimoto; Kenji Mori (SACI, 2019)

Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling. - Tomoyuki Myojin; Shintaro Hashimoto; Naoki Ishihama (ICANN (2), 2020)

Robust Bayesian Regression with Synthetic Posterior Distributions. - Shintaro Hashimoto; Shonosuke Sugasawa (Entropy, 2020)

Robust Bayesian Changepoint Analysis in the Presence of Outliers. - Shonosuke Sugasawa; Shintaro Hashimoto (KES-IDT, 2021)

Improvement of Bobrovsky-Mayor-Wolf-Zakai Bound. - Kenichi Koike; Shintaro Hashimoto (Entropy, 2021)

On Default Priors for Robust Bayesian Estimation with Divergences. - Tomoyuki Nakagawa; Shintaro Hashimoto (Entropy, 2021)

Research on Data Sufficiency and Model Validity toward AI for Critical Systems. - Shintaro Hashimoto; Haruhiko Higuchi; Naoki Ishihama (SACI, 2022)

Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. - Takahiro Onizuka; Shintaro Hashimoto; Shonosuke Sugasawa (Stat. Comput., 2024)

Bayesian boundary trend filtering. - Takahiro Onizuka; Fumiya Iwashige; Shintaro Hashimoto (Comput. Stat. Data Anal., 2024)

Robust Bayesian graphical modeling using γ-divergence. - Takahiro Onizuka; Shintaro Hashimoto (J. Multivar. Anal., 2025)