Koichiro Yamauchi

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 10

Top Topics

Incremental Learning

Maximum Power Point Tracking

Kernel Regression

Nadaraya Watson

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Taihei Asai, Koichiro Yamauchi
Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems. ICPRAM (2024)
Koichiro Yamauchi
Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting. Evol. Syst. 14 (3) (2023)
Abhilash Reddy Shankarampeta, Koichiro Yamauchi
Few-Shot Class Incremental Learning with Generative Feature Replay. ICPRAM (2021)
Masaharu Yamamoto, Koichiro Yamauchi
Swap Kernel Regression. ICANN (1) (2019)
Ashwin Devanga, Koichiro Yamauchi
Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme. ICPRAM (2019)
Taiki Watanabe, Koichiro Yamauchi
Lightweight Modal Regression for Stand Alone Embedded Systems. ICONIP (2) (2019)
Koichiro Yamauchi, Vanamala Narasimha Bhargav
Minimum Modal Regression. ICPRAM (2018)
Kazuyoshi Kato, Koichiro Yamauchi
Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget. ICONIP (3) (2016)
Daisuke Nishio, Koichiro Yamauchi
Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput. ICONIP (2) (2016)
Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki
Co-learning system for humans and machines using a weighted majority-based method. Int. J. Hybrid Intell. Syst. 13 (1) (2016)
Akihisa Kato, Hirohito Kawahara, Koichiro Yamauchi
Incremental learning on a budget and a quick calculation method using a tree-search algorithm. IJCNN (2015)
Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki
A co-learning system for humans and machines. SoCPaR (2015)
Kenta Igushi, Takaya Ogiso, Koichiro Yamauchi
Acceleration of reinforcement learning via game-based renewal energy management system. SCIS&ISIS (2014)
Koichiro Yamauchi
Incremental Learning on a Budget and its Application to Quick Maximum Power Point Tracking of Photovoltaic Systems. J. Adv. Comput. Intell. Intell. Informatics 18 (4) (2014)
Yusuke Kondo, Koichiro Yamauchi
A Dynamic Pruning Strategy for Incremental Learning on a Budget. ICONIP (1) (2014)
Koichiro Yamauchi
An importance weighted projection method for incremental learning under unstationary environments. IJCNN (2013)
Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihisa Kato
Incremental Learning on a Budget and Its Application to Power Electronics. ICONIP (2) (2013)
Koichiro Yamauchi
Incremental learning on a budget and its application to quick maximum power point tracking of photovoltaic systems. SCIS&ISIS (2012)
Koichiro Yamauchi
Incremental model selection and ensemble prediction under virtual concept drifting environments. Evol. Syst. 2 (4) (2011)
Koichiro Yamauchi
Pruning with replacement and automatic distance metric detection in limited general regression neural networks. IJCNN (2011)
Koichiro Yamauchi
Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments. PRICAI (2010)
Koichiro Yamauchi
Incremental learning and model selection under virtual concept drifting environments. IJCNN (2010)
Kazutaka Kouda, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa
Modeling of Car Driver Cognitive Process Based on Hazard Perception in Front of Car. Aust. J. Intell. Inf. Process. Syst. 11 (3) (2010)
Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara
High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 14 (6) (2010)
Takashi Omori, Masayoshi Sato, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita
Computational Modeling of Risk-Dependent Eye Movements of Car Drivers. SMC (2009)
Koichiro Yamauchi
Optimal incremental learning under covariate shift. Memetic Comput. 1 (4) (2009)
Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara
Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network. ICONIP (1) (2009)
Kyosuke Nishida, Koichiro Yamauchi
Learning, detecting, understanding, and predicting concept changes. IJCNN (2009)
Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi
Detecting sudden concept drift with knowledge of human behavior. SMC (2008)
Koichiro Yamauchi
Covariate Shift and Incremental Learning. ICONIP (1) (2008)
Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita
Computational Modeling of Risk-Related Eye Movement of Car Drivers. ICONIP (1) (2008)
Jiro Hayami, Koichiro Yamauchi
PLS Mixture Model for Online Dimension Reduction. ICONIP (1) (2007)
Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
Quick online feature selection method for regression -A feature selection method inspired by human behavior-. SMC (2007)
Yuki Togashi, Takashi Omori, Koichiro Yamauchi
Model of driver eye motion based on driving plan and prediction of changes in the environment. FOCI (2007)
Koichiro Yamauchi, Masayoshi Sato
Incremental Learning of Spatio-temporal Patterns with Model Selection. ICANN (1) (2007)
Kyosuke Nishida, Koichiro Yamauchi
Detecting Concept Drift Using Statistical Testing. Discovery Science (2007)
Koichiro Yamauchi, Jiro Hayami
Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep. IEICE Trans. Inf. Syst. (4) (2007)
Koichiro Yamauchi, Jiro Hayami
Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-. FUZZ-IEEE (2006)
Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
An online learning algorithm with dimension selection using minimal hyper basis function networks. Systems and Computers in Japan 37 (11) (2006)
Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. Multiple Classifier Systems (2005)
Koichiro Yamauchi, Takayuki Oohira, Takashi Omori
Fast incremental learning methods inspired by biological learning behavior. Artif. Life Robotics 9 (3) (2005)
Koichiro Yamauchi
Incremental Learning and Dimension Selection Through Sleep. ICONIP (2004)
Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. ICONIP (2004)
Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
Meta-learning for Fast Incremental Learning. ICANN (2003)
Hiromi Takeuchi, Yoshifumi Terabayashi, Koichiro Yamauchi, Naohiro Ishii
Improvement of Robot Sensor by Integrating Information Using Neural Network. Int. J. Artif. Intell. Tools 12 (2) (2003)
Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura
Optimization with Linear Constraints in the Neural Network. IWANN (1) (2001)
Kazunori Iwata, Nobuhiro Ito, Koichiro Yamauchi, Naohiro Ishii
Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning. IDEAL (2000)
Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii
Incremental learning methods with retrieving of interfered patterns. IEEE Trans. Neural Networks 10 (6) (1999)
Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii
A self-supervised learning system for pattern recognition by sensory integration. Neural Networks 12 (10) (1999)
Sachio Itoh, Shinji Ishiguro, Koichiro Yamauchi, Naohiro Ishii
Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network. ICONIP (1998)
Koichiro Yamauchi, Toshie Imai, Naohiro Ishii
An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems. ICONIP (1998)
Koichiro Yamauchi, Naohiro Ishii
Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells. ICONIP (1998)
Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii
Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems. ICONIP (2) (1997)
Koichiro Yamauchi, Satoshi Sugiura, Naohiro Ishii
Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors. ICONIP (1) (1997)
Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii
A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors. International Conference on Evolutionary Computation (1996)
Koichiro Yamauchi, Naohiro Ishii
An incremental learning method with recalling interfered patterns. ICNN (1995)