Ryozo Kitajima

16 papers B 2C 1Journal 2Unranked 11
YearRankTypeTitle / Venue / Authors
2023 — conf
A Sentiment Analysis of Data on Outings from Mothers with Infants and Toddlers during the COVID-19 Pandemic.
DSDE
Tadanari Taniguchi, Ryozo Kitajima, Shinji Sakamoto, Masato Koizumi
2022 — conf
Min-Max Cost and Information Control in Multi-layered Neural Networks.
FTC (1)
Ryotaro Kamimura, Ryozo Kitajima
2022 C conf
Serially Disentangled Learning for Multi-Layered Neural Networks.
IEA/AIE
Ryotaro Kamimura, Ryozo Kitajima
2021 — conf
Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks.
IIAI-AAI-Winter
Ryotaro Kamimura, Ryozo Kitajima
2020 — conf
What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining.
IIAI-AAI
Kei Nakagawa, Shingo Sashida, Ryozo Kitajima, Hiroyuki Sakai
2019 — conf
Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis.
IIAI-AAI
Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji
2019 — conf
Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results).
IIAI-AAI
Ryozo Kitajima, Ryotaro Kamimura, Hiroyuki Sakai
2018 — conf
Local Selective Learning for Interpreting Multi-Layered Neural Networks.
SCIS&ISIS
Ryotaro Kamimura, Ryozo Kitajima, Hiroyuki Sakai
2016 J jnl
Identifying Important Tweets by Considering the Potentiality of Neurons.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi
2015 J jnl
Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements.
J. Artif. Intell. Soft Comput. Res.
Ryozo Kitajima, Ryotaro Kamimura
2015 — conf
Neural potential learning for tweets classification and interpretation.
SoCPaR
Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi
2015 B conf
Selective potentiality maximization for input neuron selection in self-organizing maps.
IJCNN
Ryotaro Kamimura, Ryozo Kitajima
2007 B conf
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning.
IJCNN
Ryotaro Kamimura, Ryozo Kitajima
2007 — conf
Information-Theoretic Variable Selection in Neural Networks.
FOCI
Ryotaro Kamimura, Fumihiko Yoshida, Yamashita Toshie, Ryozo Kitajima
2007 — conf
Interpreting cabinet approval ratings by neural networks.
Artificial Intelligence and Applications
Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima
2006 — conf
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.
ICONIP (1)
Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima