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Ryozo Kitajima
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2020 – today
- 2023
- [c14]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: 49-53 - 2022
- [c13]Ryotaro Kamimura, Ryozo Kitajima:
Min-Max Cost and Information Control in Multi-layered Neural Networks. FTC (1) 2022: 1-17 - [c12]Ryotaro Kamimura, Ryozo Kitajima:
Serially Disentangled Learning for Multi-Layered Neural Networks. IEA/AIE 2022: 669-681 - 2021
- [c11]Ryotaro Kamimura, Ryozo Kitajima:
Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks. IIAI-AAI-Winter 2021: 24-40 - 2020
- [c10]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: 516-521
2010 – 2019
- 2019
- [c9]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: 667-672 - [c8]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: 697-700 - 2018
- [c7]Ryotaro Kamimura, Ryozo Kitajima, Hiroyuki Sakai:
Local Selective Learning for Interpreting Multi-Layered Neural Networks. SCIS&ISIS 2018: 115-122 - 2016
- [j2]Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi:
Identifying Important Tweets by Considering the Potentiality of Neurons. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(8): 1555-1559 (2016) - 2015
- [j1]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): 161 (2015) - [c6]Ryotaro Kamimura, Ryozo Kitajima:
Selective potentiality maximization for input neuron selection in self-organizing maps. IJCNN 2015: 1-8 - [c5]Ryozo Kitajima, Ryotaro Kamimura, Osamu Uchida, Fujio Toriumi:
Neural potential learning for tweets classification and interpretation. SoCPaR 2015: 141-148
2000 – 2009
- 2007
- [c4]Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima:
Interpreting cabinet approval ratings by neural networks. Artificial Intelligence and Applications 2007: 72-77 - [c3]Ryotaro Kamimura, Fumihiko Yoshida, Yamashita Toshie, Ryozo Kitajima:
Information-Theoretic Variable Selection in Neural Networks. FOCI 2007: 222-227 - [c2]Ryotaro Kamimura, Ryozo Kitajima:
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. IJCNN 2007: 1779-1784 - 2006
- [c1]Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima:
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. ICONIP (1) 2006: 626-633
Coauthor Index
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