Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. - Ryotaro Kamimura; Fumihiko Yoshida; Ryozo Kitajima (ICONIP (1), 2006)

Interpreting cabinet approval ratings by neural networks. - Ryotaro Kamimura; Fumihiko Yoshida; Ryozo Kitajima (Artificial Intelligence and Applications, 2007)

Information-Theoretic Variable Selection in Neural Networks. - Ryotaro Kamimura; Fumihiko Yoshida; Yamashita Toshie; Ryozo Kitajima (FOCI, 2007)

Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. - Ryotaro Kamimura; Ryozo Kitajima (IJCNN, 2007)

Selective potentiality maximization for input neuron selection in self-organizing maps. - Ryotaro Kamimura; Ryozo Kitajima (IJCNN, 2015)

Neural potential learning for tweets classification and interpretation. - Ryozo Kitajima; Ryotaro Kamimura; Osamu Uchida; Fujio Toriumi (SoCPaR, 2015)

Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements. - Ryozo Kitajima; Ryotaro Kamimura (J. Artif. Intell. Soft Comput. Res., 2015)

Identifying Important Tweets by Considering the Potentiality of Neurons. - Ryozo Kitajima; Ryotaro Kamimura; Osamu Uchida; Fujio Toriumi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Local Selective Learning for Interpreting Multi-Layered Neural Networks. - Ryotaro Kamimura; Ryozo Kitajima; Hiroyuki Sakai 003 (SCIS&ISIS, 2018)

Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results). - Ryozo Kitajima; Ryotaro Kamimura; Hiroyuki Sakai 003 (IIAI-AAI, 2019)

Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis. - Kaito Takano; Miryu Tanaka; Hiroyuki Sakai 003; Ryozo Kitajima; Takahisa Ota; Chinatsu Tanabe; Hiroki Sakaji (IIAI-AAI, 2019)

What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining. - Kei Nakagawa; Shingo Sashida; Ryozo Kitajima; Hiroyuki Sakai 003 (IIAI-AAI, 2020)

Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks. - Ryotaro Kamimura; Ryozo Kitajima (IIAI-AAI-Winter, 2021)

Min-Max Cost and Information Control in Multi-layered Neural Networks. - Ryotaro Kamimura; Ryozo Kitajima (FTC (1), 2022)

Serially Disentangled Learning for Multi-Layered Neural Networks. - Ryotaro Kamimura; Ryozo Kitajima (IEA/AIE, 2022)

A Sentiment Analysis of Data on Outings from Mothers with Infants and Toddlers during the COVID-19 Pandemic. - Tadanari Taniguchi; Ryozo Kitajima; Shinji Sakamoto; Masato Koizumi (DSDE, 2023)