Well-balanced learning for reducing the variance of summed squared errors. - Kazuhiro Kohara; Tsukasa Kawaoka (ANNES, 1993)

Neural multivariate prediction using even-knowledge and selective presentation learning. - Kazuhiro Kohara (ICNN, 1995)

Selective Presentation Learning for Neural Network Forecasting of Stock Markets. - Kazuhiro Kohara; Yoshimi Fukuhara; Yukihiro Nakamura (Neural Comput. Appl., 1996)

Stock Price Prediction Using Prior Knowledge and Neural Networks. - Kazuhiro Kohara; Tsutomu Ishikawa; Yoshimi Fukuhara; Yukihiro Nakamura (Intell. Syst. Account. Finance Manag., 1997)

Asian distance training experiment using CALAT-PARTHENON courseware. - Kazuhiro Kohara; Katsumi Hosoya; Masahiko Tsujimoto; Tomonori Izumi; Yukihiro Nakamura (ICON, 2001)

Selective-Learning-Rate Approach for Stock Market Prediction by Simple Recurrent Neural Networks. - Kazuhiro Kohara (KES, 2003)

Clustering and Visualization of Products with Self-Organizing Maps for Purchase Decision Support. - Kazuhiro Kohara; Tetsuya Tsuda (ICDM (Workshops), 2010)

Creating Product Maps with Self-Organizing Maps for Purchase Decision Making. - Kazuhiro Kohara; Tetsuya Tsuda (Trans. Mach. Learn. Data Min., 2010)

Corporate Decision Making with Self-Organizing Patent Maps Labeled by Technical Terms and AHP. - Kazuhiro Kohara; Takumi Kato; Hisashi Kouno (CONF-IRM, 2012)

Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning. - Kazuhiro Kohara; Isao Sugiyama (MLDM, 2013)

Considering Corporate Strategies with Self-Organizing Patent Maps and Decision Making with AHP. - Kazuhiro Kohara; Yuuki Maeda (CONF-IRM, 2015)

Clustering Professional Baseball Players with SOM and Deciding Team Reinforcement Strategy with AHP. - Kazuhiro Kohara; Shota Enomoto (ICDM, 2018)