Shintaro Hashimoto

According to our database, Shintaro Hashimoto authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian boundary trend filtering.

Takahiro Onizuka, Fumiya Iwashige, Shintaro Hashimoto

Comput. Stat. Data Anal., March, 2024

Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations.

Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa

Stat. Comput., February, 2024

2022

Research on Data Sufficiency and Model Validity toward AI for Critical Systems.

Shintaro Hashimoto, Haruhiko Higuchi, Naoki Ishihama

Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022

2021

On Default Priors for Robust Bayesian Estimation with Divergences.

Tomoyuki Nakagawa, Shintaro Hashimoto

Entropy, 2021

Improvement of Bobrovsky-Mayor-Wolf-Zakai Bound.

Kenichi Koike, Shintaro Hashimoto

Entropy, 2021

Robust Bayesian Changepoint Analysis in the Presence of Outliers.

Shonosuke Sugasawa, Shintaro Hashimoto

Proceedings of the Intelligent Decision Technologies, 2021

2020

Robust Bayesian Regression with Synthetic Posterior Distributions.

Shintaro Hashimoto, Shonosuke Sugasawa

Entropy, 2020

Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling.

Tomoyuki Myojin, Shintaro Hashimoto, Naoki Ishihama

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Lunar Crater Detection based on Grid Partition using Deep Learning.

Shintaro Hashimoto, Kenji Mori

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

System Construction for Both Lunar Obstacle Detection and Annotation Support Based on Neurons' Decision Validity.

Shintaro Hashimoto, Kenji Mori

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout.

Tomoyuki Myojin, Shintaro Hashimoto, Kenji Mori, Keisuke Sugawara, Naoki Ishihama

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Self-localization from a 360-Degree Camera Based on the Deep Neural Network.

Shintaro Hashimoto, Kosuke Namihira

Proceedings of the Advances in Computer Vision, 2019

2018

Ship Classification from SAR Images Based on Deep Learning.

Shintaro Hashimoto, Yohei Sugimoto, Ko Hamamoto, Naoki Ishihama

Proceedings of the Intelligent Systems and Applications, 2018