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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

  • 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, in press.

  • 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, 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), 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, 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, 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, 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, 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, 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, 243-269, 2015.

  • Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Efficient analysis of node influence based on SIR model over huge complex networks, Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA 2014), 216-222, IEEE, 2014.

  • Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Analyzing mediator-activity effects for trust-network evolution in social media, Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), LNAI 8862, 297-308, Springer, 2014.

  • Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: A method to divide stream data of scores over review sites, Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), LNAI 8862, 913-919, Springer, 2014.

  • Masahito Kumano, Satoshi Iwabuchi, Motonori Koseki, Keiko Ono, and Masahiro Kimura: Visualization of attractive periods for popular photo spots based on collective wisdom, Journal of the Society for Art and Science, Vol.13, No.4, 218-228, 2014, in Japanese.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Resampling-based framework for estimating node centrality of large social network, Proceedings of the 17th International Conference on Discovery Science (DS 2014), LNAI 8777, 228-239, Springer, 2014.

  • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: A new approach for item ranking based on review scores reflecting temporal trust factor, Proceedings of the 7th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2014), LNCS 8393, 161-168, Springer, 2014.

  • Masahito Kumano, Takayuki Kamei, Keiko Ono, and Masahiro Kimura: Modeling user behaviors for social ties and activities in social media, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J97-D, No.2, 247-259, 2014, in Japanese.


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    Last modified on: February 12, 2016.