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MASAHIRO KIMURA, Ph. D.

Professor
Department of Electronics and Informatics
Faculty of Science and Technology
Ryukoku University

Email: kimura@rins.ryukoku.ac.jp
Tel: +81 77 543 7406
Fax: +81 77 543 7428
Address: Department of Electronics and Informatics, Ryukoku University, Seta, Otsu 520-2194, Japan



Recent Papers

  • 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, to appear.

  • Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Discovering cooperative structure among online items for attention dynamics, Proceedings of 2017 IEEE International Conference on Data Mining Workshops (ICDMW 2017), in press.

  • Yuuki Kikuchi, Masahito Kumano, and Masahiro Kimura: Analyzing dynamical activities of co-occurrence patterns for cooking ingredients, Proceedings of 2017 IEEE International Conference on Data Mining Workshops (ICDMW 2017), in press.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Maximizing network performance based on group centrality by creating most effective k-links, Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), in press.

  • Kanji Matsutani and Masahiro Kimura: Learning attention dynamics for items in social media, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.10, No.2, pp.14-24, 2017, in Japanese

  • Hiroki Takahashi and Masahiro Kimura: Analyzing time-decay effects of mediating-objects in creating trust-links, In A. Appice et al. (Eds.), New Frontiers in Mining Complex Patterns, 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Revised Selected Papers, Lecture Notes in Artificial Intelligence, Vol.10312, pp.99-114, Springer, 2017.

  • Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: An accurate and efficient method to detect critical links to maintain information flow in network, Proceedings of the 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017), LNAI 10352, pp.116-126, Springer, 2017.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Accelerating computation of distance based centrality measures for spatial networks, Proceedings of the 19th International Conference on Discovery Science (DS 2016), LNAI 9956, pp.376-391, Springer, 2016.

  • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Detecting critical links in complex network to maintain information flow/reachability, Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016), LNAI 9810, pp.419-432, Springer, 2016.

  • Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Speeding-up node influence computation for huge social networks, International Journal of Data Science and Analytics, Vol.1, pp.3-16, 2016.

  • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Super mediator - A new centrality measure of node importance for information diffusion over social network, Information Sciences, Vol.329, pp.985-1000, 2016.

  • Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Combining activity-evaluation information with NMF for trust-link prediction in social media, Proceedings of 2015 IEEE International Conference on Big Data (BigData 2015), pp.2263-2272, IEEE, 2015.

  • Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda: Analysis of mediator-activity effects for trust-network evolution in social media, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.8, No.2, pp.44-56, 2015, in Japanese.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Change Point Detection for Information Diffusion Tree, Proceedings of the 18th International Conference on Discovery Science (DS 2015), LNAI 9356, pp.161-169, Springer, 2015.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Resampling-based gap analysis for detecting nodes with high centrality on large social network, Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), LNAI 9077, pp.135-147, Springer, 2015.

  • Keiko Ono, Masahito Kumano, and Masahiro Kimura: Genetic programming for cooperative single-objective optimization, Transactions on ISCIE, Vol.28, No.5, pp.173-180, 2015, in Japanese.

  • Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Efficient learning of user conformity on review score, Proceedings of the 8th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2015), LNCS 9021, pp.182-192, Springer, 2015.

  • Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Change Point Detection for Burst Analysis from an Observed Information Diffusion Sequence of Tweets, Journal of Intelligent Information Systems, Vol.44, No.2, pp.243-269, 2015.


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    Last modified on: September 12, 2017.