Japanese
MASAHIRO KIMURA, Ph. D.
Professor
Faculty of Advanced Science and Technology
Ryukoku University
Email:
kimura@rins.ryukoku.ac.jp
Tel:
+81 77 543 7406
Fax:
+81 77 543 7428
Address:
Faculty of Advanced Science and Technology,
Ryukoku University,
Seta, Otsu 520-2194, Japan
Recent Papers
Masahiro Ikeda, Masahito Kumano, Joao Gama, and Masahiro Kimura:
Simplicial Closure in Significant Higher-Order Network among Cooking Ingredients,
Book of Abstract of the 9th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020),
in press.
Teru Fujii, Masahito Kumano, Joao Gama, and Masahiro Kimura:
Detecting Geographical Competitive Structure for POI Visit Dynamics,
Proceedings of the 9th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020),
in press.
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph,
Proceedings of 2020 IEEE International Conference on Big Data (BigData 2020),
in press.
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks,
Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020),
in press.
Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links,
Proceedings of the 23rd International Conference on Discovery Science (DS 2020),
LNAI 12323, pp.421-436, Springer, 2020.
Mario Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, Joao Gama:
Identifying, Ranking and Tracking Community Leaders in Evolving Social Networksk,
Proceedings of the 8th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019),
Studies in Computational Intelligence 881, pp.198-210, Springer, 2020.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes,
International Journal of Data Science and Analytics, Vol.9, No.2, pp.175-195, 2020.
Minoru Higuchi, Kanji Matsutani, Masahito Kumano, Masahiro Kimura:
Extracting influence structure in geographical attention dynamics,
IEICE Transactions on Information and Systems (Japanese Edition),
Vol.J102-D, No.10, pp.685-697, 2019.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network,
Proceedings of the 22nd International Conference on Discovery Science (DS 2019),
LNAI 11828, pp.428-442, Springer, 2019.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Critical node identification based on articulation point detection for uncertain network,
International Journal of Networking and Computing, Vol.9, No.2, pp.201-216, 2019.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint,
Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019),
LNAI 11671, pp.404-418, Springer, 2019.
Minoru Higuchi, Kanji Matsutani, Masahito Kumano, and Masahiro Kimura:
Discovering spatio-temporal latent influence in geographical attention dynamics,
In M. Berlingerio et al. (Eds.):
Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2018), LNAI 11052, pp.517-534, Springer, 2019.
Keiko Ono, Yoshiko Hanada, Masahito Kumano, and Masahiro Kimura:
Enhancing island model genetic programming by controlling frequent trees,
Journal of Artificial Intelligence and Soft Computing Research, Vol.9, No.1, pp.51-65, 2019.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Critical node identification based on articulation point detection for network with uncertain connectivity,
Proceedings of the 6th International Symposium on Computing and Networking (CANDAR'18), pp.146-152, IEEE, 2018.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Critical link identification based on bridge detection for network with uncertain connectivity,
Proceedings of the 24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018), LNAI 11177, pp.88-99, Springer, 2018.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Accurate and efficient detection of critical links in network to minimize information loss,
Journal of Intelligent Information Systems, Vol.51, No.2, pp.235-255, 2018.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient detection of critical links to maintain performance of network with uncertain connectivity,
Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018),
LNAI 11012, pp.282-295, Springer, 2018.
Yuuki Kikuchi, Masahito Kumano, and Masahiro Kimura:
Extracting active co-occurrence patterns of cooking ingredient usage in recipe sharing sites,
IPSJ Transactions on Mathematical Modeling and its Applications,
Vol.11, No.2, pp.30-40, 2018, in Japanese.
Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda:
Extracting cooperative structure among online items from share-event sequence,
Transactions of the Japanese Society for Artificial Intelligence, Vol.33, No.3,
p.A-HA1_1-12, 2018, in Japanese.
Masahito Kumano, Kazuya Hashimoto, and Masahiro Kimura:
Digest visualization of photo spots in terms of seasonal uniqueness,
Journal of the Society for Art and Science,
Vol.17, No.1, pp.8-25, 2018, in Japanese.
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Which is more influential, "who" or "when" for a user to rate in online review site?,
Intelligent Data Analysis, Vol.22, No.3, pp.639-657, 2018.
Publications
Last modified on: November 2, 2020.