Ryozo Kitajima

According to our database, Ryozo Kitajima authored at least 16 papers between 2006 and 2023.

Collaborative distances:

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

2023

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

Proceedings of the 6th International Conference on Data Storage and Data Engineering, 2023

2022

Serially Disentangled Learning for Multi-Layered Neural Networks.

Ryotaro Kamimura, Ryozo Kitajima

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Min-Max Cost and Information Control in Multi-layered Neural Networks.

Ryotaro Kamimura, Ryozo Kitajima

Proceedings of the Future Technologies Conference, 2022

2021

Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks.

Ryotaro Kamimura, Ryozo Kitajima

Proceedings of 11th International Congress on Advanced Applied Informatics, 2021

2020

What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining.

Kei Nakagawa, Shingo Sashida, Ryozo Kitajima, Hiroyuki Sakai

Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

2019

Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis.

Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

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

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

2018

Local Selective Learning for Interpreting Multi-Layered Neural Networks.

Ryotaro Kamimura, Ryozo Kitajima, Hiroyuki Sakai

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2016

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

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

Neural potential learning for tweets classification and interpretation.

Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Selective potentiality maximization for input neuron selection in self-organizing maps.

Ryotaro Kamimura, Ryozo Kitajima

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2007

Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning.

Ryotaro Kamimura, Ryozo Kitajima

Proceedings of the International Joint Conference on Neural Networks, 2007

Information-Theoretic Variable Selection in Neural Networks.

Ryotaro Kamimura, Fumihiko Yoshida, Yamashita Toshie, Ryozo Kitajima

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Interpreting cabinet approval ratings by neural networks.

Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006

Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.

Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima

Proceedings of the Neural Information Processing, 13th International Conference, 2006