CHUBU UNIVERSITY
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YAMAUCHI Koichiro

Profile

Title Professor
Belong to Dept. of Computer Science
Computer Science (graduate school)
Graduated Osaka University, Graduate School of Basic Engineering
Degree PhD
Academic Institutional Membership Japan Neural Network Society (JNNS)
The Institute of Electronics Information and Communication Engineers (IEICE)
Information Processing Society of Japan
Japan Society of Fuzzy Theory and Intelligent Informatics
IEEE Computer Society
Field of Study Artificial Intelligence, Machine Learning, Pattern Recognition
Research, Studies Bio-inspired Learning algorithms, Application of machine learning methods for renewal energy systems, Maximum Power Point Tracking micro-converter for photovoltaic, Incremental learning method for small embedded systems
Curriculum Specialized Machine Learning, Operating System

Books Published, Translation

Book title: "Photovoltaic Materials and Solar Panels", Chapter title: "MPPT algorithm accelerated by an embedded incremental learning method.", InTechOpen in press (2018)

Academic Papers, Critique

Koichiro Yamauchi, Vanamala Narashimha Bhargav . "Minimum modal regression", in Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred , editors, ICPRAM2018 7th International Conference on Pattern Recognition Applications and Methods, pp. 448--455, January, (2018)

Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki . "Co-learning system for humans and machines using a weighted majority-based method ", International Journal of Hybrid Intelligent Systems, No.13, pp. 63--76, (2016)

Daisuke Nishio, Koichiro Yamauchi . "Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput", in Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu, editors, Neural Information Processing --23rd International Conference, ICONIP 2016--, Springer-Verlag, LNCS9948, pp. 204--213, October, (2016), Kyoto University, October 16--21, 2016

Kazuyoshi Kato, Koichiro Yamauchi . "Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget", in Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu, editors, Neural Information Processing --23rd International Conference, ICONIP 2016--, Springer-Verlag, LNCS9949, pp. 202--210, October, (2016), Kyoto University, October 16--21, 2016

Hidekazu Kato, Koichiro Yamauchi . "Quick MPPT microconverter using a limited general regression neural network with adaptive forgetting", in Sustainable Energy Engineering and Application (ICSEEA), 2015 International Conference on , IEEE, pp. 42--48, February, (2016)

Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki . "A Co-learning system for human and machines", in Proceedings of the 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR2015), The Institute of Electrical and Electronics Engineers, Inc. New York, New York, pp. 363--368, November, (2015).Fukuoka Japan, November 13-15, 2015

Akihisa Kato, Hirohito Kawahara, Koichiro Yamauchi . "Incremental learning on a budget and a quick calculation method using a tree-search algorithm ", in IJCNN2015: The International Joint Conference on Neural Networks 2015, The Institute of Electrical and Electronics Engineers, Inc. New York, New York, pp. 3719--3725, July, (2015).Killarney, Ireland, July12-17, 2015

Koichiro Yamauchi . "Incremental learning on a budget and its application to quick maximum power point tracking of photovoltaic systems", Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.18, No.4, pp. 682--696, (2014)

Kenta Igushi, Takaya Ogiso, Koichiro Yamauchi . "Acceleration of reinforcement learning via game-based renewal energy management system", in SCISISIS2014, The Institute of Electrical and Electronics Engineers, Inc. New York, New York, pp. 415--420, December, (2014).Kitakyusyu Intertnational Conference Center, Japan, December 3-6, 2014

Yusuke Kondo, Koichiro Yamauchi . "A Dynamic Pruning Strategy for Incremental Learning on a Budget", in Neural Information Processing -- The 21st International Conference, ICONIP2014 --, Springer-Verlag, vol.LNCS8834, No.1, pp. 295--303, November, (2014).Imperial Hotel, Kuching, Sarawaku, MALAYSIA , November 3-6, 2014

Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihira Kato . "Incremental learning on a budget and its application to power electronics", in Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil , editors, Neural Information Processing -- The 20th International Conference, ICONIP2013 --, Springer-Verlag, vol.LNCS8227, pp. 341--351, November, (2013)

Koichiro Yamauchi . "An importance weighted projection method for incremental learning under unstationary environments", in IJCNN2013: The International Joint Conference on Neural Networks 2013, The Institute of Electrical and Electronics Engineers, Inc. New York, New York, pp. 506--514, August, (2013)

Koichiro Yamauchi . "Incremental learning on a budget and its application to quick maximum power point tracking of photovoltaic systems", in The 6th International Conference on Soft Computing and Intelligent Systems, pp. 71--78, November, (2012)

Koichiro Yamauchi . "Incremental model selection and ensemble prediction under virtual concept drifting environments", Evolving Systems, vol.2, issue 4, pp 249--260, October, (2011)

"Optimal incremental learning under covariate shift", Memetic Computing, vol.1, No.4, pp. 271--279, (2009)

"Covariate Shift and Incremental Learning", in International Conference on Neural Information Processing (ICONIP2008), inpress, November, 2008

Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa. "Computational Modeling of Risk-Related Eye Movement of Car Drivers", in International Conference on Neural Information Processing (ICONIP2008), inpress, November, 2008

Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi . "Detecting Sudden Concept Drift with Knowledge of Human Behavior", in 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC 2008), The Institute of Electrical and Electronics Engineers, Inc. New York, New York, pp. 3261--3267, October, 2008

Incremental Learning and Model Selection for Radial Basis Function Network through Sleep, IEICE TRANSACTIONS on Information and Systems, vol. E90-D, No. 4, pp. 722-735, April, 2007

Social Activities

ICONIP2016 Publication Chair

IEEE Computer Society Japan Chapter Committee

IEICE Journal (ED) Associate Editor

IEEE, Japan Neural Network Society(JNNS),

The Institute of Electronics, Information and Communication Engineer (IEICE).

Japan Society for Fuzzy Theory and Intelligent Informatics.

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