Multiclass Functional Discriminant Analysis and Its Application to Gesture Recognition. - Hidetoshi Matsui; Takamitsu Araki; Sadanori Konishi (J. Classif., 2011)

Variable selection for functional regression models via the L1 regularization. - Hidetoshi Matsui; Sadanori Konishi (Comput. Stat. Data Anal., 2011)

Variable and boundary selection for functional data via multiclass logistic regression modeling. - Hidetoshi Matsui (Comput. Stat. Data Anal., 2014)

Variable selection for varying-coefficient models with the sparse regularization. - Hidetoshi Matsui; Toshihiro Misumi (Comput. Stat., 2015)

A note on variable selection in functional regression via random subspace method. - Lukasz Smaga; Hidetoshi Matsui (Stat. Methods Appl., 2018)

Sparse group lasso for multiclass functional logistic regression models. - Hidetoshi Matsui (Commun. Stat. Simul. Comput., 2019)

Causal Discovery for Linear Mixed Data. - Yan Zeng 002; Shohei Shimizu; Hidetoshi Matsui; Fuchun Sun 001 (CLeaR, 2022)

Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability. - Shotaro Watanabe; Hidetoshi Matsui (Neural Comput., 2023)

Density Ratio-based Causal Discovery from Bivariate Continuous-Discrete Data. - Takashi Nicholas Maeda; Shohei Shimizu; Hidetoshi Matsui (CoRR, 2025)

Automatic assignment of optimal data acquisition protocols for MRI examinations in Japanese. - Yusuke Fukui; Yukihiro Nagatani; Hidetoshi Matsui; Masayori Ishikawa; Shinnosuke Hiratsuka; Harumi Iguchi; Masahiro Yoshimura; Yoshiyuki Watanabe (Multim. Tools Appl., 2025)