Name

  • Tohgoroh Matsui

Contact Information

  • E-mail: TohgorohMatsui@tohgoroh.jp, matsui@cs.chubu.ac.jp
  • Postal: Department of Computer Science, College of Engineering, Chubu University, 1200 Matsumoto-cho, Kasugai, 487-8501 Aichi, Japan
  • Room: 6407, 4th floor, 6th building
  • Phone: +81-568-51-1111, Ext. 4405
  • Twitter: TohgorohMatsui

Education

  • Ph. D. in Engineering, from the Nagoya Institute of Technology, in 2003.

Professional Posts

  • Lecturer in the Department of Computer Science, College of Engineering, Chubu University, since 2010.
  • Director of Tohgoroh Machine Learning Research Institute, since 2009.
  • Assistant professor in the Department of Industrial Administration, Faculty of Science and Technology, Tokyo University of Science, from 2003 to 2009.
  • Part-time lecturer in the Nagoya University of Commerce & Business, from 1999 to 2003.

Academic Societies

  • Japanese Society of Artificial Intelligence (JSAI).
  • Information Processing Society of Japan (IPSJ).
  • American Association for Artificial Intelligence (AAAI).
  • Association for Computing Machinery (ACM).

Committees

  • Councilor of JSAI, since 2008.
  • Director of the SIG-FIN (Special Interest Group on AI Applications in Finance) in JSAI, since 2008.
  • Program committee of the Joint Agent Workshop & Symposium (JAWS), since 2008.
  • Program committee of the Annual Conference of JSAI, from 2008-2009.

Awards

  • SIG research award, from JSAI, in 2009.
  • Student-researcher award, from IPSJ Tokai branch, in 2002.

Research Topics

  • On-Line Profit Asharing (OnPS) Algorithm
  • Theoretical Analysis on Profit Sharing Algorithms
  • Stock Trading using Reinforcement Learning, etc.
  • Protein Structure Prediction using ILP
  • Detecting and revising misclassification using ILP
  • Integrating ILP and SVM, etc.
  • Blogger's review search engine (BREVIS)
  • Opinion extraction from weblogs
  • Text categorization with Ontology, etc.
  • Multi-Domain HMMER
  • Homology detection using Probabilistic Network
  • Protein Structure Prediction using ILP, etc.

Publications

  • Analysis on financial markets' fluctuation by textual information. Kiyoshi Izumi, Takashi Goto, Tohgoroh Matsui. Journal of The Japanese Society for Artificial Intelligence, Vol. 25, No. 3, pp. 383-387 (2010), in Japanese.
  • Acquiring a government bond trading strategy using reinforcement learning. Tohgoroh Matsui, Takashi Goto, Kiyoshi Izumi. Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 6, pp. 691-696 (2009).
  • Machine learning in economic research. Kiyoshi Izumi, Toshiya Kaihara, Tohgoroh Matsui. JSAI Magazine, Vol. 24, No. 6, pp. 796-803 (2009), in Japanese.
  • Data mining from web. Tohgoroh Matsui, TUS Science Forum, Vol. 26, No. 5, pp. 29-34 (2009), in Japanese.
  • Acquiring and analyzing trading strategy in financial market using reinforcement learning. Tohgoroh Matsui and Takashi Goto. JSAI Magazine, Vol. 24, No. 3, pp. 400-407 (2009), in Japanese.
  • Editorial: Special Issue on AI applications in finance. Takao Terano, Tohgoroh Matsui, Kiyoshi Izumi. JSAI Magazine, Vol. 24, No. 3, pp. 373-375 (2009), in Japanese.
  • Protein Fold Prediction from Primary Structure Using Inductive Logic Programming. Tohgoroh Matsui, Hayato Ohwada, Kazuyuki Kuchitsu. Proceedings of the Workshop on Knowledge, Language, and Learning in Bioinformatics (KLLBI 2008), accepted (2008). Hanoi, Vietnam, December 2008.
  • Long-Target Market Analysis Using Text Mining. Kiyoshi Izumi, Takashi Goto, Tohgoroh Matsui. Proceedings of the 7th International Conference on Computational Intelligence in Economics and Finance (CIEF 2008), accepted (2008). Taoyuan, Taiwan, December 2008.
  • Artificial Market and Trading Agent Strategy. Kiyoshi Izumi, Fujio Toriumi, Tohgoroh Matsui. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol. 20, No. 4, pp. 609-615 (2008). August, 2008. Written in Japanese.
  • Artificial Intelligence: A Modern Approach (2nd Edition), Chapter 16: Making Simple Decisions (Japanese Translation). Stuart Russell, Peter Norvig (Authors), Koichi Furukawa (Translation supervisor), Hayato Ohwada, Tohgoroh Matsui (Translators). pp. 589-617, Kyoritsu Shuppan (2008). July, 2008. Written in Japanese.
  • Introduction to KabuRobo: Stock trading using artificial intelligence. Tohgoroh Matsui. Journal of Japanese Society on Artificial Intelligence, Vol. 22, No. 4, pp. 540-547 (2007). Written in Japanese.
  • Using ILP for constructing process network in dies production. Atsushi Yamazaki, Tohgoroh Matsui, Hayato Ohwada, and Kazuhiko Nakajima. Stephen Muggleton and Ramon Otero (Eds.), The Short Papers of the 16th International Conference on Inductive Logic Programming (ILP-2006), pp. 228-230 (2006). Santiago de Compostela, Spain, August 2006.
  • Detecting and revising misclassifications using ILP. Masaki Yokoyama, Tohgoroh Matsui, and Hayato Ohwada. Proceedings of The 8th International Conference on Discovery Science (DS-2005), pp. 362-369 (2005). Singapore, October 2005. [Paper: PDF].
  • Detecting errors in POS-tagging using ILP. Masaki Yokoyama, Tohgoroh Matsui, and Hayato Ohwada. Late-Braking Papers of The 15th International Conference on Inductive Logic Programming (ILP-2005), Stefan Kramer and Bernhard Pfahringer (Eds.), Technical Notes TUM-I0510, pp. 75-80 (2005). Bonn, Germany, August 2005. [Paper: Refer to DS-2005, Poster: PDF].
  • Extracting common concepts from WordNet to classify documents. Yoko Ino, Tohgoroh Matsui, and Hayato Ohwada. Proceedings of The IASTED International Conference on Artificial Intelligence and Applications (AIA-2005), pp. 656-661 (2005). Innsbruck, Austria, February 2005. [Paper: PDF].
  • Active background-knowledge selection in inductive logic programming. Hidenori Shirai, Tohgoroh Matsui, and Hayato Ohwada. Short Presentations of The 13th International Conference on Inductive Logic Programming (ILP-2003), Tamas Horvath and Akihiro Yamamoto (Eds.), pp. 95-104 (2003). Szeged, Hungary, September/October 2003. [Paper: PDF].
  • Predicting and revising misclassification using ILP. Toshihide Iwasaki, Tohgoroh Matsui, and Hayato Ohwada. Short Presentations of The 13th International Conference on Inductive Logic Programming (ILP-2003), Tamas Horvath and Akihiro Yamamoto (Eds.), pp. 22-29 (2003). Szeged, Hungary, September/October 2003. [Paper: PDF].
  • On-line profit sharing works efficiently. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. Proceedings of The 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2003), Part 1, Vasile Palate, Rovert J. Howlett, and Lakhmi Jain (Eds.), Lecture Notes in Artificial Intelligence, Vol. 2773, pp. 317-324, Springer-Verlag (2003). Oxford, UK, September 2003. [Paper: PDF].
  • Reinforcement learning methods to handle actions with differing costs in MDPs. Takahisa Ishiguro, Tohgoroh Matsui, Nobuhiro Inuzuka, and Koichi Wada. Proceedings of The 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2003), Part 2, Vasile Palate, Rovert J. Howlett, and Lakhmi Jain (Eds.), Lecture Notes in Artificial Intelligence, Vol. 2774, pp. 553-560, Springer-Verlag (2003). Oxford, UK, September 2003.
  • Adapting to subsequent changes of environment by learning policy preconditions. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. International Journal of Computer & Information Science, Vol. 3, No. 1, pp. 49-58 (2002). [Paper: PDF].
  • Using concept learning for restructuring control policy in reinforcement learning. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, and Hidenoti Itoh. Transactions of The Japanese Society for Artificial Intelligence, Vol. 17, No. 2, pp. 135-144 (2002). Written in Japanese. [Paper: Online Journal, PDF].
  • A comparison of three methods for parallelizing an ILP algorithm FOIL. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. The Transactions of The Institute of Electronics, Information and Communication Engineers, Vol. J85-D-I, No. 6, pp.566-568 (2002). Written in Japanese. [Paper: PDF].
  • Feature selection for effective calculation of a similarity measure. Tomoya Ogawa, Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. Proceedings of The IASTED International Conference on Artificial and Computational Intelligence (ACI 2002), pp. 318-323 (2002). Tokyo, Japan, September 2002. [Paper: PDF].
  • Learning preconditions for control policies in reinforcement learning. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. Proceedings of The ACIS 2nd International Conference on Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing (SNPD '01), Naohiro Ishii, Tadanori Mizuno, and Roger Y. Lee (Eds.), pp. 47-54, (2001). Nagoya, Japan, August 2001. [Paper: PDF, Slides: HTML].
  • Adaptive behavior by inductive prediction in soccer agents. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. Proceedings of The 6th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), Riichiro Mizoguchi and John Slaney (Eds.), Lecture Notes in Artificial Intelligence, Vol. 1886, p. 807, Springer-Verlag (2000). Melbourne, Australia, August/September 2000. [Paper: PDF].
  • A proposal for inductive learning agent using first-order logic. Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki. Work-in-progress reports of The 10th International Conference on Inductive Logic Programming (ILP 2000), James Cussens and Alan Frisch (Eds.), CEUR Workshop Proceedings, Vol. 35, pp. 180-193 (2000). London, UK, August 2000. [Paper: PDF, Poster: PDF].
  • Soccer agents learning from past behavior with inductive logic programming. Tohgoroh Matsui, Kazuo Kashiwabara, Nobuhiro Inuzuka, Hirohisa Seki, and Hidenori Itoh. Proceedings of The First IMC Workshop on Knowledge Mining in The Real-world, pp. 77-88 (1999). Tokyo, Japan, December 1999. [Paper: PDF].
  • An induction algorithm based on fuzzy logic programming. Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, and Hidenori Itoh. Proceedings of The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), Ning Zhong and Lizhu Zhou (Eds.), Lecture Notes in Artificial Intelligence, Vol. 1574, pp.268-273, Springer-Verlag (1999). Beijing, China, April 1999.
  • Parallel induction algorithms for large samples. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, and Hidenori Itoh. Proceedings of The First International Conference on Discovery Science on Discovery Science (DS'98), Setsuo Arikawa and Hiroshi Motoda (Eds.), Lecture Notes in Artificial Intelligence, Vol. 1532, pp.397-398, Springer-Verlag (1998). Fukuoka Japan, December 1998. [Paper: PDF].
  • Comparison of three parallel implementations of an induction algorithm. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, and Hidenori Itoh. Proceedings of 8th International Parallel Computing Workshop (PCW'98), Yong Meng Teo, Ming Dong Feng, Tok Wang Ling, and Esther Loh (Eds.), pp.181-188 (1998). Singapore, September 1998. [Paper: PDF].