Koichiro Yamauchi

According to our database, Koichiro Yamauchi authored at least 54 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems.

Taihei Asai, Koichiro Yamauchi

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting.

Koichiro Yamauchi

Evol. Syst., June, 2023

2021

Few-Shot Class Incremental Learning with Generative Feature Replay.

Abhilash Reddy Shankarampeta, Koichiro Yamauchi

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2019

Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme.

Ashwin Devanga, Koichiro Yamauchi

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Lightweight Modal Regression for Stand Alone Embedded Systems.

Taiki Watanabe, Koichiro Yamauchi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Swap Kernel Regression.

Masaharu Yamamoto, Koichiro Yamauchi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Minimum Modal Regression.

Koichiro Yamauchi, Vanamala Narasimha Bhargav

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2016

Co-learning system for humans and machines using a weighted majority-based method.

Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki

Int. J. Hybrid Intell. Syst., 2016

Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput.

Daisuke Nishio, Koichiro Yamauchi

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget.

Kazuyoshi Kato, Koichiro Yamauchi

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

A co-learning system for humans and machines.

Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Incremental learning on a budget and a quick calculation method using a tree-search algorithm.

Akihisa Kato, Hirohito Kawahara, Koichiro Yamauchi

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Incremental Learning on a Budget and its Application to Quick Maximum Power Point Tracking of Photovoltaic Systems.

Koichiro Yamauchi

J. Adv. Comput. Intell. Intell. Informatics, 2014

Acceleration of reinforcement learning via game-based renewal energy management system.

Kenta Igushi, Takaya Ogiso, Koichiro Yamauchi

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

A Dynamic Pruning Strategy for Incremental Learning on a Budget.

Yusuke Kondo, Koichiro Yamauchi

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

An importance weighted projection method for incremental learning under unstationary environments.

Koichiro Yamauchi

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Incremental Learning on a Budget and Its Application to Power Electronics.

Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihisa Kato

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011

Incremental model selection and ensemble prediction under virtual concept drifting environments.

Koichiro Yamauchi

Evol. Syst., 2011

Pruning with replacement and automatic distance metric detection in limited general regression neural networks.

Koichiro Yamauchi

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks.

Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara

J. Adv. Comput. Intell. Intell. Informatics, 2010

Modeling of Car Driver Cognitive Process Based on Hazard Perception in Front of Car.

Kazutaka Kouda, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa

Aust. J. Intell. Inf. Process. Syst., 2010

Incremental learning and model selection under virtual concept drifting environments.

Koichiro Yamauchi

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Optimal incremental learning under covariate shift.

Koichiro Yamauchi

Memetic Comput., 2009

Computational Modeling of Risk-Dependent Eye Movements of Car Drivers.

Takashi Omori, Masayoshi Sato, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita

Proceedings of the IEEE International Conference on Systems, 2009

Learning, detecting, understanding, and predicting concept changes.

Kyosuke Nishida, Koichiro Yamauchi

Proceedings of the International Joint Conference on Neural Networks, 2009

Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network.

Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Detecting sudden concept drift with knowledge of human behavior.

Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi

Proceedings of the IEEE International Conference on Systems, 2008

Covariate Shift and Incremental Learning.

Koichiro Yamauchi

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Computational Modeling of Risk-Related Eye Movement of Car Drivers.

Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep.

Koichiro Yamauchi, Jiro Hayami

IEICE Trans. Inf. Syst., 2007

Quick online feature selection method for regression -A feature selection method inspired by human behavior-.

Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori

Proceedings of the IEEE International Conference on Systems, 2007

PLS Mixture Model for Online Dimension Reduction.

Jiro Hayami, Koichiro Yamauchi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Incremental Learning of Spatio-temporal Patterns with Model Selection.

Koichiro Yamauchi, Masayoshi Sato

Proceedings of the Artificial Neural Networks, 2007

Model of driver eye motion based on driving plan and prediction of changes in the environment.

Yuki Togashi, Takashi Omori, Koichiro Yamauchi

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Detecting Concept Drift Using Statistical Testing.

Kyosuke Nishida, Koichiro Yamauchi

Proceedings of the Discovery Science, 10th International Conference, 2007

2006

An online learning algorithm with dimension selection using minimal hyper basis function networks.

Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori

Syst. Comput. Jpn., 2006

Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-.

Koichiro Yamauchi, Jiro Hayami

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

Fast incremental learning methods inspired by biological learning behavior.

Koichiro Yamauchi, Takayuki Oohira, Takashi Omori

Artif. Life Robotics, 2005

ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments.

Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004

Incremental Learning and Dimension Selection Through Sleep.

Koichiro Yamauchi

Proceedings of the Neural Information Processing, 11th International Conference, 2004

An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.

Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Improvement of Robot Sensor by Integrating Information Using Neural Network.

Hiromi Takeuchi, Yoshifumi Terabayashi, Koichiro Yamauchi, Naohiro Ishii

Int. J. Artif. Intell. Tools, 2003

Meta-learning for Fast Incremental Learning.

Takayuki Oohira, Koichiro Yamauchi, Takashi Omori

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2001

Optimization with Linear Constraints in the Neural Network.

Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura

Proceedings of the Connectionist Models of Neurons, 2001

2000

Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning.

Kazunori Iwata, Nobuhiro Ito, Koichiro Yamauchi, Naohiro Ishii

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Incremental learning methods with retrieving of interfered patterns.

Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii

IEEE Trans. Neural Networks, 1999

A self-supervised learning system for pattern recognition by sensory integration.

Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii

Neural Networks, 1999

1998

An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems.

Koichiro Yamauchi, Toshie Imai, Naohiro Ishii

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells.

Koichiro Yamauchi, Naohiro Ishii

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network.

Sachio Itoh, Shinji Ishiguro, Koichiro Yamauchi, Naohiro Ishii

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems.

Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors.

Koichiro Yamauchi, Satoshi Sugiura, Naohiro Ishii

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996

A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors.

Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995

An incremental learning method with recalling interfered patterns.

Koichiro Yamauchi, Naohiro Ishii

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995