Yamauchi-Lab(Chubu-University Department of Information Science)

Recent papers/books:

K.Yamauchi "Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting" Evolving Systems (2022) https://doi.org/10.1007/s12530-022-09476-8
Abhilash Reddy Shankarampeta, Koichiro Yamauchi . "Few-shot Class Incremental learning with Generative Feature Replay", in Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021), SCITEPRESS Science and Technology Publications, Lda., (2021).
A new textbook for programming neural networks using Python is released. The title is "Studying neural network architecture through programming.
--From the fundamentals of the machine learning to continual learning --" (tentative)
(Note: This book is written in Japanese so far.)

Taiki Watanabe, Koichiro Yamauchi . "Lightweight Modal Regression for Stand Alone Embedded Systems", in Neural Information Processing --26th International Conference, ICONIP 2019--, Springer-Verlag, vol.LNCS11594, pp. 367--379, December, (2019).
Masaharu Yamamoto, Koichiro Yamauchi . "Swap kernel regression", in Artificial Neural Networks and Machine Learning -- ICANN2019, Elsevier Science Publishers B. V. (North-Holland), LNCS 11728, pp. 579--592, (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).

Yusuke Kondo, Koichiro Yamauchi . "A dynamic pruning strategy for incremental learning on a budget", to appear in Neural Information Processing -- The 21th International Conference, ICONIP2014 November, (2014).
"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).
"Incremental learning on a budget and its application to power electronics" (ICONIP2013)
"An importance weighted projection method for incremental learning under unstationary environments " (IJCNN2013)

Chubu University Department of Information Science	[Japanese]
Yamauchi Laboratory Biomimetic Intelligent System Laboratory k_yamauchi-at-isc.chubu.ac.jp [public key] PGPFP: E6FD 31B5 AD13 8518 3B31 EE00 2110 279C 1A73 B3DF
Research Theme Publication Member Professor: Koichiro Yamauchi (Dr. Eng) Students Access　 top page	News & Topics Last Update April 3, 2023 Recent papers/books: K.Yamauchi "Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting" Evolving Systems (2022) https://doi.org/10.1007/s12530-022-09476-8 Abhilash Reddy Shankarampeta, Koichiro Yamauchi . "Few-shot Class Incremental learning with Generative Feature Replay", in Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021), SCITEPRESS Science and Technology Publications, Lda., (2021). A new textbook for programming neural networks using Python is released. The title is "Studying neural network architecture through programming. --From the fundamentals of the machine learning to continual learning --" (tentative) (Note: This book is written in Japanese so far.) Taiki Watanabe, Koichiro Yamauchi . "Lightweight Modal Regression for Stand Alone Embedded Systems", in Neural Information Processing --26th International Conference, ICONIP 2019--, Springer-Verlag, vol.LNCS11594, pp. 367--379, December, (2019). Masaharu Yamamoto, Koichiro Yamauchi . "Swap kernel regression", in Artificial Neural Networks and Machine Learning -- ICANN2019, Elsevier Science Publishers B. V. (North-Holland), LNCS 11728, pp. 579--592, (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). Yusuke Kondo, Koichiro Yamauchi . "A dynamic pruning strategy for incremental learning on a budget", to appear in Neural Information Processing -- The 21th International Conference, ICONIP2014 November, (2014). "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). "Incremental learning on a budget and its application to power electronics" (ICONIP2013) "An importance weighted projection method for incremental learning under unstationary environments " (IJCNN2013) Research Theme Publication
Chubu University

Yamauchi Laboratory Biomimetic Intelligent System Laboratory