Ryozo Kitajima

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Topics

Sentiment Analysis

Patent Documents

Top Venues

IIAI-AAI-Winter

Publications

Tadanari Taniguchi, Ryozo Kitajima, Shinji Sakamoto, Masato Koizumi
A Sentiment Analysis of Data on Outings from Mothers with Infants and Toddlers during the COVID-19 Pandemic. DSDE (2023)
Ryotaro Kamimura, Ryozo Kitajima
Serially Disentangled Learning for Multi-Layered Neural Networks. IEA/AIE (2022)
Ryotaro Kamimura, Ryozo Kitajima
Min-Max Cost and Information Control in Multi-layered Neural Networks. FTC (1) (2022)
Ryotaro Kamimura, Ryozo Kitajima
Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks. IIAI-AAI-Winter (2021)
Kei Nakagawa, Shingo Sashida, Ryozo Kitajima, Hiroyuki Sakai
What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining. IIAI-AAI (2020)
Ryozo Kitajima, Ryotaro Kamimura, Hiroyuki Sakai
Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results). IIAI-AAI (2019)
Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji
Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis. IIAI-AAI (2019)
Ryotaro Kamimura, Ryozo Kitajima, Hiroyuki Sakai
Local Selective Learning for Interpreting Multi-Layered Neural Networks. SCIS&ISIS (2018)
Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi
Identifying Important Tweets by Considering the Potentiality of Neurons. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (8) (2016)
Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi
Neural potential learning for tweets classification and interpretation. SoCPaR (2015)
Ryozo Kitajima, Ryotaro Kamimura
Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements. J. Artif. Intell. Soft Comput. Res. 5 (3) (2015)
Ryotaro Kamimura, Ryozo Kitajima
Selective potentiality maximization for input neuron selection in self-organizing maps. IJCNN (2015)
Ryotaro Kamimura, Ryozo Kitajima
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. IJCNN (2007)
Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima
Interpreting cabinet approval ratings by neural networks. Artificial Intelligence and Applications (2007)
Ryotaro Kamimura, Fumihiko Yoshida, Yamashita Toshie, Ryozo Kitajima
Information-Theoretic Variable Selection in Neural Networks. FOCI (2007)
Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. ICONIP (1) (2006)