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Shohei Usui
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2020 – today
- 2022
- [j3]Shu Liu, Fujio Toriumi, Mao Nishiguchi, Shohei Usui:
A flexible framework for multiple-role discovery in real networks. Appl. Netw. Sci. 7(1): 67 (2022) - 2021
- [c5]Shu Liu, Fujio Toriumi, Mao Nishiguchi, Shohei Usui:
Multiple Role Discovery in Complex Networks. COMPLEX NETWORKS 2021: 415-427 - 2020
- [j2]Shumpei Kikuta, Fujio Toriumi, Mao Nishiguchi, Shu Liu, Tomoki Fukuma, Takanori Nishida, Shohei Usui:
Framework for role discovery using transfer learning. Appl. Netw. Sci. 5(1): 45 (2020)
2010 – 2019
- 2019
- [c4]Shumpei Kikuta, Fujio Toriumi, Mao Nishiguchi, Tomoki Fukuma, Takanori Nishida, Shohei Usui:
Domain-Invariant Latent Representation Discovers Roles. COMPLEX NETWORKS (1) 2019: 834-844 - 2018
- [c3]Shohei Usui, Mitsuo Yoshida, Fujio Toriumi:
Analysis of Information Polarization During Japan's 2017 Election. IEEE BigData 2018: 4383-4386 - 2016
- [c2]Shohei Usui, Fujio Toriumi:
Analysis of Condition for the Cooperation Achievement on Arbitrary Networks: (Extended Abstract). AAMAS 2016: 1321-1322 - 2014
- [j1]Shohei Usui, Fujio Toriumi, Masato Matsuo, Takatsugu Hirayama, Kenji Mase:
Greedy Network Growth Model of Social Network Service. J. Adv. Comput. Intell. Intell. Informatics 18(4): 590-597 (2014) - 2013
- [c1]Shohei Usui, Fujio Toriumi, Takatsugu Hirayama, Kenji Mase:
Analysis of Influential Features for Information Diffusion. SocialCom 2013: 905-908
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