Chubu University Department of Information Science
[Japanese]

Yamauchi Laboratory Biomimetic Intelligent System Laboratory

k_yamauchi-at-isc.chubu.ac.jp (email address has been changed.) [public key] PGPFP: E6FD 31B5 AD13 8518 3B31  EE00 2110 279C 1A73 B3DF

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Koichiro Yamauchi (Dr. Eng)

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News & Topics  Last Update  July 2, 2019

Recent papers:
  • Masaharu Yamamoto, Koichiro Yamauchi . "Swap kernel regression", in ICANN2019, Accepted (2019).

  • Ashwin Devanga, Koichiro Yamauchi . "Collaborative Learning of Human and Computer: SupervisedActor-Critic based Collaboration Scheme", in Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred , editors, Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), SCITEPRESS Science and Technology Publications, Lda. , pp. 794--801, February, (2019). (short paper)
  • Koichiro Yamauchi . "A Quick Maximum Power Point Tracking Method Using an Embedded Learning Algorithm for Photovoltaics on Roads", in Dr. Natarajan Prabaharan , editors, Recent Developments in Photovoltaic Materials and Devices , InTechOpen, pp. 85--106, November, (2018).
  • Koki Ando, Koichiro Yamauchi . "One-pass incremental-Learning of temporal patterns with a bounded memory constraint ", in Olga Valenzuela , Fernando Rojas , Hector Pomares , Ignacio Rojas , editors, Proceedings ITISE 2018. Granada, 19--21, Godel Impresiones Digitales S.L. , vol.3, pp. 1253--1264, September, (2018).
  • 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).

  • Daisuke Nishio, Koichiro Yamauchi . "Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput", in  Neural Information Processing --23rd International Conference, ICONIP 2016--, Springer-Verlag, LNCS9948, pp. 204--213, October, (2016).

  • Kazuyoshi Kato, Koichiro Yamauchi . "Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget",  Neural Information Processing --23rd International Conference, ICONIP 2016--, Springer-Verlag, LNCS9949, pp. 202--210, October, (2016).
  • Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki . "Co-learning system for humans and machines using a weightedmajority-based method" Accepted to IJHIS (IOS Press).
  • 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), IEEE, pp. 363--368, November, (2015).

  • Hidekazu Kato, Koichiro Yamauchi "Quick MPPT microconverter using a limited general regression neural network with adaptive forgetting." ICSEEA2015 Bandung Indonesia (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, pp. 3719--3725, July, (2015).


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