(Japanese)

MATSUHARA Masafumi

Associate Professor (Ph.D., Eng.)
Dept. of Software & Information Science
Iwate Prefectural University. JAPAN 020-0693
URL: http://www.chishiki.soft.iwate-pu.ac.jp/~masafumi/
E-mail: masafumi[at]IPU
Biography:
Masafumi Matsuhara received B.E. and M.E. degrees from Hokkai-Gakuen University, Hokkaido, Japan in 1996 and 2000, respectively. He received Ph.D. degree in engineering from Hokkaido University, Hokkaido, Japan in 2003. He was an assistant professor of Iwate Prefectural University in 2003-2014. He is currently an associate professor of Faculty of Software and Information Science, Iwate Prefectural University. His research interests include artificial intelligence and natural language processing.
Research Activities:

  1. Masafumi Matsuhara, Kenji Araki, Yoshio Momouchi and Koji Tochinai:
    "Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input"
    N. Foo (Ed.): Advanced Topics in Artificial Intelligence(AI'99), Lecture Note in Artificial Intelligence 1747, pp. 474-475, Springer-Verlag, December 1999.
    (Also appeared in Proceedings of 12th Australian Joint Conference on Artificial Intelligence, pp.474-475, Sydney, Australia, December 1999.)

  2. Masafumi Matsuhara, Kenji Araki and Koji Tochinai:
    "Evaluation of Number-Kanji Translation Method Using Inductive Learning on E-Mail"
    Proceedings of Third IASTED International Conference on Artificial Intelligence and Soft Computing (ASC'2000) , pp.487-493, Banff, Alberta, Canada, July 2000.

  3. Masafumi Matsuhara, Kenji Araki and Koji Tochinai:
    "Effectiveness for Machine Translation Method Using Inductive Learning on Number Representation"
    Bob Mckay, John Slaney(Eds.), AI2002: Advances in Artificial Intelligence, Lecture Note in Artificial Intelligence 2557, pp.648-659, Springer-Verlag, December 2002.
    (Also appeared in Proceedings of 15th Australian Joint Conference on Artificial Intelligence, pp.648-659, Canberra, Australia, December 2002.)

  4. Kenji Araki, Hiroshi Echizen-ya, Masafumi Matsuhara and Yasutomo Kimura:
    "Applications of Natural Language Processing Method Using Inductive Learning"
    Exhibition Brochure of 41st Annual Meeting of the Association for Computational Linguistics (ACL 2003), p.18, Sapporo, Japan, July 2003.

  5. D. Senzaki, G. Chakraborty, H. Mabuchi and M. Matsuhara:
    "Distance Based Location Management in Cellular PCS Network - A Critical Study"
    Proc. of The 18th International Conference on Advanced Information Networking and Applications (AINA 2004), 244, pp.95-98, Fukuoka, Japan, March 2004.

  6. D. Senzaki, G. Chakraborty, M. Matsuhara and H. Mabuchi:
    "Improvement of Paging Cost by Updating Using Paging Delay Divergence"
    Lecture Note in Computer Science 3326, pp.502-507, Springer-Verlag, December 2004.
    (Also appeared in Proceedings of IWDC 2004: 6th International Workshop, Kolkata, India, December 27-30, 2004.)

  7. Daisuke Senzaki, Goutam Chakraborty, Hiroshi Mabuchi, and Masafumi Matsuhara:
    "Performance Analysis of Distance Based Trigger Update Location Management Algorithm with Respect to Cell Size and Mobility Behavior"
    Proc. of The 2nd IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS2005), pp.89-94, Hokkaido University, Sapporo, August 4-5, 2005.

  8. Takuma Jumonji, Goutam Chakraborty, Hiroshi Mabuchi, and Masafumi Matsuhara:
    "An Efficient Genetic Algorithm with Adaptive of Group Formation"
    Proc. of The Eighth International Conference on Humans and Computers(HC'2005), pp.25-30, Aizu, Japan 31 Aug. - 2 Sep. 2005.

  9. Satoko Kikuchi, Goutam Chakraborty, Hiroshi Mabuchi, and Masafumi Matsuhara:
    "A genetic algorithm approach to assemble DNA fragment"
    Proc. of The Eighth International Conference on Humans and Computers(HC'2005), pp.31-36, Aizu, Japan 31 Aug. - 2 Sep. 2005.

  10. Daisuke Senzaki, Goutam Chakraborty, Hiroshi Mabuchi, and Masafumi Matsuhara:
    "Mobility Pattern Learning and Route Prediction Based Location Management in PCS Network"
    Proc. of The 20th International Conference on Advanced Information Networking and Applications (AINA 2006), pp.351-355, Vienna University of Technology, Vienna, Austria, April 18-20, 2006.

  11. Takuma Jumonji, Goutam Chakraborty, Hiroshi Mabuchi, Masafumi Matsuhara:
    "Auto-Adjust Genetic Algorithm"
    IEEE SMC Hiroshima Chapter, 2nd International Workshop on COMPUTATIONAL INTELLIGENCE & APPLICATIONS, P10, Okayama University, Japan, 15-Dec-2006.

  12. Takuma Jumonji, Goutam Chakraborty, Hiroshi Mabuchi, Masafumi Matsuhara:
    "A Novel Distributed Genetic Algorithm Implementation with Variable Number of Islands"
    Proc. of 2007 IEEE Congress on Evolutionary Computation (CEC2007), pp.4698-4705, Singapore, 25-28 September 2007.

  13. Goutam Chakraborty, Hideyuki Kurokawa, B. Chakraborty, M. Matsuhara, H. Mabuchi, Y. Terayama, C. Yoshida:
    "What is Better for Restoring Operation of a Damaged ANN - Retraining or Reinitialize and Training"
    2008 International Conference on Software, Knowledge, Information Management and Applications(SKIMA2008), Paper 173, Kathmandu, Nepal, 18-21 March 2008.

  14. Rafal Rzepka, Hideyuki Shibuki, Yasutomo Kimura, Keiichi Takamaru, Masafumi Matsuhara and Koji Murakami:
    "Judicial Precedents Processing Project for Supporting Japanese Lay Judge System"
    Workshop on Semantic Processing of Legal Texts, LREC2008, pp.33-41, Marrakech, Morocco, May 2008.

  15. Keiichi Takamaru, Hideyuki Shibuki, Rafal Rzepka, Masafumi Matsuhara, Koji Murakami and Yasutomo Kimura:
    "Proposal of Precedents Processing System for Supporting Japanese Lay Judges"
    Second International Symposium on Universal Communication(ISUC2008), Poster Session No. 8, Osaka, Japan, December 2008.

  16. Rafal Rzepka, Masafumi Matsuhara, Yasutomo Kimura, Keiichi Takamaru, Hideyuki Shibuki and Koji Murakami:
    "Toward Automatic Support For Japanese Lay Judge System - Processing Precedent Factors For Sentencing Trends Discovery"
    Proceedings of NTCIR-7 Workshop Meeting, pp.563-570, Tokyo, Japan, December 2008.

  17. Kazuhiko Yamashita, Goutam Chakraborty, Hiroshi Mabuchi and Masafumi Matsuhara:
    "An Efficient Method to Set RBF Network Parameters Based on SOM Training"
    Proc. of The 10th IEEE International Conference on Computer and Information Technology (CIT-10), pp.426-431, Bradford, UK, 29 June - 1 July, 2010.

  18. Goutam Chakraborty, Hideyuki Kurokawa, Basabi Chakraborty, Masafumi Matsuhara, Hiroshi Mabuchi and Yasuo Terayama:
    "How best to restore operations of a Damaged ANN?"
    Proc. of the IEEE World Congress on Computational Intelligence, pp.2225--2231, Spain, July 2010.

  19. Yuji Mizuno, Hiroshi Mabuchi, Goutam Chakraborty and Masafumi Matsuhara:
    "Clustering of EEG Data Using Maximum Entropy Method and LVQ"
    Proc. of The 10th WSEAS International Conference on SYSTEMS THEORY AND SCIENTIFIC COMPUTATION (ISTASC '10), 647-163, Taipei, Taiwan, August 20-22, 2010.

  20. Yuji Mizuno, Hiroshi Mabuchi, Goutam Chakraborty and Masafumi Matsuhara:
    "Clustering of EEG Data using Maximum Entropy Method and LVQ"
    INTERNATIONAL JOURNAL OF COMPUTERS, Issue 4, Volume 4, pp.193-200, 2010.

  21. Masafumi Matsuhara and Satoshi Suzuki:
    "An Efficient Context-Aware Character Input Algorithm for Mobile Phone Based on Artificial Neural Network"
    Proc. of The 3rd International Conference on Awareness Science and Technology (iCAST 2011), pp.314-318, Dalian, China, September 27-30, 2011.

  22. Toshihiro Yoshida, Masafumi Matsuhara, Goutam Chakraborty and Hiroshi Mabuchi:
    "A Novel Ranking Method of Web Search Result Using Clustering and Concordance Count"
    Proc. of WCCI 2012 IEEE World Congress on Computational Intelligence, pp.902--907, Brisbane, Australia, June, 10-15, 2012.

  23. Masafumi Matsuhara and Satoshi Suzuki:
    "Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network"
    Applied Computational Intelligence and Soft Computing, Volume 2012 (2012), Article ID 896948, 6 pages.

  24. Masafumi Matsuhara:
    "AN EFFICIENT WEB SEARCH ALGORITHM FOR MOBILE TERMINAL"
    International Journal of Latest Research in Science and Technology, Volume 2, Issue 1, pp.465-469, January-February 2013.

  25. Masafumi Matsuhara, Miki Itoh, Goutam Chakraborty, Hiroshi Mabuchi:
    "An Efficient Pressure-Aware Character Input Algorithm for Mobile Phones"
    Proc. of 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013), pp.191-196, University of Aizu, Aizu-Wakamatsu city, Japan, November 2-4, 2013.

  26. Masafumi Matsuhara, Toshihiro Yoshida:
    "An Effective Cluster-Aware Labeling Method for Web Search Results Using Concordant Document Frequencies"
    International Journal of Intelligent Information Systems. Vol. 3, No. 1, pp. 1-7, February 2014.

  27. Masafumi Matsuhara, Taichi Sugawara, Goutam Chakraborty and Hiroshi Mabuchi:
    "An Efficient Image-Aware Kana-Kanji Conversion Algorithm for Twitter on Mobile Phones"
    The IEEE 7th International Conference on Awareness Science and Technology (iCAST 2015), Session 3-2, Qinhuangdao, China, Sep.22-24,2015.

  28. Masafumi Matsuhara:
    "Effectiveness of Ambiguity-aware Web Search Algorithm for Mobile Phone"
    International Journal of New Technology and Research (IJNTR), ISSN:2454-4116, Volume-4, Issue-3, Pages 31-36, March 2018.

  29. Hiroyuki Abe, Masafumi Matsuhara, Goutam Chakraborty and Hiroshi Mabuchi:
    "Topic-Aware Automatic Snippet Generation for Resolving Multiple Meaning on Web Search Result"
    The 9th IEEE International Conference on Awareness Science and Technology (iCAST 2018), September 19 - 21, 2018, Fukuoka, Japan, pp.133-138.

  30. Norifumi Watanabe, Masafumi Matsuhara, Goutam Chakraborty and Hiroshi Mabuchi:
    "Method to Present Situation Aware Suitable Reply Candidate on Mobile Terminal"
    The 10th IEEE International Conference on Awareness Science and Technology (iCAST 2019), October 23 - 25, 2019, Morioka, Japan, pp.395-400.

  31. Yuki Okude, Masafumi Matsuhara, Goutam Chakraborty and Hiroshi Mabuchi:
    "Improving Awareness of Emotional Meaning of Emoticon by Representing as Numelical Vectors"
    The 10th IEEE International Conference on Awareness Science and Technology (iCAST 2019), October 23 - 25, 2019, Morioka, Japan, pp.401-406.

  32. Yu-Ching Lu, Goutam Chakraborty and Masafumi Matsuhara:
    "A two stage converging genetic algorithm for graph clustering"
    International Journal of Applied Science and Engineering, 17, 299-310, Sep. 2020.

  33. Yuching Lu, Totsuka Koki, Goutam Chakraborty and Masafumi Matsuhara:
    "Performance Comparison of Clustering Algorithm Based Collaborative Filtering Recommendation System"
    The 7th Multidisciplinary International Social Networks Conference (MISNC 2020), Session 7-2 (Online), Oct.31 - Nov.2 Kaohsiung, Taiwan.

  34. Masafumi Matsuhara, Norifumi Watanabe, Goutam Chakraborty and Hiroshi Mabuchi:
    "Situation-based reply candidate presentation method for mobile phone"
    International Journal of Information Technology, Communications and Convergence, 2020 Vol.3 No.4, pp.319 - 336, Jan. 2021.

  35. Yuching Lu, Koki Tozuka, Goutam Chakraborty and Masafumi Matsuhara:
    "A Novel Item Cluster-Based Collaborative Filtering Recommendation System"
    The Review of Socionetwork Strategies, August 2021. https://doi.org/10.1007/s12626-021-00084-7

  36. Haruki Asano, Masafumi Matsuhara:
    "Multi-task Learning Method using Emoji Prediction as Auxiliary Task for Sentiment Analysis"
    8th International Congress on Information and Communication Technology (ICICT 2023), Virtual Room 2D-4, London, United Kingdom, February 2023.

  37. Masafumi Matsuhara and Jin Tsushima:
    "Effectiveness of Automatic Caption Generation Method for Video in Japanese"
    1st International Conference on Optimization Techniques for Learning (ICOTL 2023), Paper ID 111, Hybrid Mode, Angallu, India, December 2023.

Copyright (C) Masafumi Matsuhara, All rights reserved.

Last Update : 2023.12.09
(by masafumi)