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Conference and Workshop Papers
- 2023
[c8]Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi:
An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool. WSC 2023: 138-149- 2022
- [c7]Shuang Chang
, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori:
Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making. PRIMA 2022: 122-138 - 2019
- [c6]Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Xiangyu Zhang, Kouji Kozaki:
Report on the First Knowledge Graph Reasoning Challenge 2018. JIST 2019: 18-34 - 2018
- [c5]Kazunari Tanaka, Tomoya Iwakura, Yusuke Koyanagi, Noriko Ikeda, Hiroyuki Shindo, Yuji Matsumoto:
Chemical Compounds Knowledge Visualization with Natural Language Processing and Linked Data. LREC 2018 - 2012
- [c4]Yusuke Koyanagi, Toyohide Watanabe:
Online News Browsing over Interrelated Target Events. IIMSS 2012: 429-438 - [c3]Yoshimune Tabuchi, Yusuke Koyanagi, Toyohide Watanabe:
Aggregation of News Articles, being Time-dependent on Particular Topic. KES 2012: 1011-1020 - 2008
- [c2]Wei Fan, Yusuke Koyanagi, Koichi Asakura, Toyohide Watanabe:
Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation. PKAW 2008: 12-26 - 2007
- [c1]Yusuke Koyanagi, Koichi Asakura, Toyohide Watanabe:
Inter-Vehicle Communication Protocol for Acquiring Traffic Information on Specified Position. ICWN 2007: 431-434
Informal and Other Publications
- 2024
- [i4]Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino:
A Logical Approach to Criminal Case Investigation. CoRR abs/2402.08284 (2024) - [i3]Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi:
DCDILP: a distributed learning method for large-scale causal structure learning. CoRR abs/2406.10481 (2024) - 2022
- [i2]Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag:
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. CoRR abs/2211.14221 (2022) - 2019
- [i1]Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Shawn Zhang, Kouji Kozaki:
Report on the First Knowledge Graph Reasoning Challenge 2018 - Toward the eXplainable AI System. CoRR abs/1908.08184 (2019)
Coauthor Index
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