Weather Map Prediction Using RGB Metaphorical Feature Extraction for Atmospheric Pressure Patterns. - Takeru Hakii; Koshi Shimada; Takafumi Nakanishi; Ryotaro Okada; Keigo Matsuda; Ryo Onishi; Keiko Takahashi (ICIS, 2021)

An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval. - Koshi Shimada; Shota Saito; Toshiyasu Matsushima (ITW, 2021)

Hyperparameter Learning of Bayesian Context Tree Models. - Yuta Nakahara; Shota Saito; Koshi Shimada; Toshiyasu Matsushima (ISIT, 2023)

Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems. - Naoki Ichijo; Ryota Maniwa; Yuta Nakahara; Koshi Shimada; Toshiyasu Matsushima (ISITA, 2024)

An Efficient Image Segmentation Algorithm Based on Bayes Decision Theory and its Application for Region Detection. - Yilun Wang; Koshi Shimada; Toshiyasu Matsushima (ISITA, 2024)

An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process. - Keito Tajima; Naoki Ichijo; Yuta Nakahara; Koshi Shimada; Toshiyasu Matsushima (SMC, 2024)

An Efficient Bayes Coding Algorithm for Changing Context Tree Model. - Koshi Shimada; Shota Saito; Toshiyasu Matsushima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)