An incremental learning method with recalling interfered patterns. - Koichiro Yamauchi 001; Naohiro Ishii (ICNN, 1995)

A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors. - Koichiro Yamauchi 001; Mikiya Oota; Naohiro Ishii (International Conference on Evolutionary Computation, 1996)

Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors. - Koichiro Yamauchi 001; Satoshi Sugiura; Naohiro Ishii (ICONIP (1), 1997)

Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems. - Koichiro Yamauchi 001; Nobuhiko Yamaguchi; Naohiro Ishii (ICONIP (2), 1997)

Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network. - Sachio Itoh; Shinji Ishiguro; Koichiro Yamauchi 001; Naohiro Ishii (ICONIP, 1998)

Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells. - Koichiro Yamauchi 001; Naohiro Ishii (ICONIP, 1998)

An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems. - Koichiro Yamauchi 001; Toshie Imai; Naohiro Ishii (ICONIP, 1998)

A self-supervised learning system for pattern recognition by sensory integration. - Koichiro Yamauchi 001; Mikiya Oota; Naohiro Ishii (Neural Networks, 1999)

Incremental learning methods with retrieving of interfered patterns. - Koichiro Yamauchi 001; Nobuhiko Yamaguchi; Naohiro Ishii (IEEE Trans. Neural Networks, 1999)

Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning. - Kazunori Iwata 001; Nobuhiro Ito; Koichiro Yamauchi 001; Naohiro Ishii (IDEAL, 2000)

Optimization with Linear Constraints in the Neural Network. - Mikiya Oota; Naohiro Ishii; Koichiro Yamauchi 001; Mayumi Nakamura (IWANN (1), 2001)

Meta-learning for Fast Incremental Learning. - Takayuki Oohira; Koichiro Yamauchi 001; Takashi Omori (ICANN, 2003)

Incremental learning with sleep. - Koichiro Yamauchi 001 (IJCNN, 2003)

Improvement of Robot Sensor by Integrating Information Using Neural Network. - Hiromi Takeuchi; Yoshifumi Terabayashi; Koichiro Yamauchi 001; Naohiro Ishii (Int. J. Artif. Intell. Tools, 2003)

An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (ICONIP, 2004)

Incremental Learning and Dimension Selection Through Sleep. - Koichiro Yamauchi 001 (ICONIP, 2004)

A quick learning method that gambles: a learning system that hates learning. - Koichiro Yamauchi 001; Ryuji Oshima; Takashi Omori (IJCNN, 2004)

ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (Multiple Classifier Systems, 2005)

Fast incremental learning methods inspired by biological learning behavior. - Koichiro Yamauchi 001; Takayuki Oohira; Takashi Omori (Artif. Life Robotics, 2005)

Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-. - Koichiro Yamauchi 001; Jiro Hayami (FUZZ-IEEE, 2006)

An online learning algorithm with dimension selection using minimal hyper basis function networks. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (Syst. Comput. Jpn., 2006)

Detecting Concept Drift Using Statistical Testing. - Kyosuke Nishida; Koichiro Yamauchi 001 (Discovery Science, 2007)

Model of driver eye motion based on driving plan and prediction of changes in the environment. - Yuki Togashi; Takashi Omori; Koichiro Yamauchi 001 (FOCI, 2007)

Incremental Learning of Spatio-temporal Patterns with Model Selection. - Koichiro Yamauchi 001; Masayoshi Sato (ICANN (1), 2007)

PLS Mixture Model for Online Dimension Reduction. - Jiro Hayami; Koichiro Yamauchi 001 (ICONIP (1), 2007)

Quick online feature selection method for regression -A feature selection method inspired by human behavior-. - Youhei Tadeuchi; Ryuji Oshima; Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (SMC, 2007)

Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep. - Koichiro Yamauchi 001; Jiro Hayami (IEICE Trans. Inf. Syst., 2007)

Computational Modeling of Risk-Related Eye Movement of Car Drivers. - Masayoshi Sato; Yuki Togashi; Takashi Omori; Koichiro Yamauchi 001; Satoru Ishikawa; Toshihiro Wakita (ICONIP (1), 2008)

Covariate Shift and Incremental Learning. - Koichiro Yamauchi 001 (ICONIP (1), 2008)

Detecting sudden concept drift with knowledge of human behavior. - Kyosuke Nishida; Shohei Shimada; Satoru Ishikawa; Koichiro Yamauchi 001 (SMC, 2008)

Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network. - Yasushi Kohata; Koichiro Yamauchi 001; Masahito Kurihara (ICONIP (1), 2009)

Learning, detecting, understanding, and predicting concept changes. - Kyosuke Nishida; Koichiro Yamauchi 001 (IJCNN, 2009)

Computational Modeling of Risk-Dependent Eye Movements of Car Drivers. - Takashi Omori; Masayoshi Sato; Koichiro Yamauchi 001; Satoru Ishikawa; Toshihiro Wakita (SMC, 2009)

Optimal incremental learning under covariate shift. - Koichiro Yamauchi 001 (Memetic Comput., 2009)

Incremental learning and model selection under virtual concept drifting environments. - Koichiro Yamauchi 001 (IJCNN, 2010)

Modeling of Car Driver Cognitive Process Based on Hazard Perception in Front of Car. - Kazutaka Kouda; Takashi Omori; Koichiro Yamauchi 001; Satoru Ishikawa (Aust. J. Intell. Inf. Process. Syst., 2010)

High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks. - Yasushi Kohata; Koichiro Yamauchi 001; Masahito Kurihara (J. Adv. Comput. Intell. Intell. Informatics, 2010)

Pruning with replacement and automatic distance metric detection in limited general regression neural networks. - Koichiro Yamauchi 001 (IJCNN, 2011)

Incremental model selection and ensemble prediction under virtual concept drifting environments. - Koichiro Yamauchi 001 (Evol. Syst., 2011)

Incremental Learning on a Budget and Its Application to Power Electronics. - Koichiro Yamauchi 001; Yusuke Kondo; Akinari Maeda; Kiyotaka Nakano; Akihisa Kato (ICONIP (2), 2013)

An importance weighted projection method for incremental learning under unstationary environments. - Koichiro Yamauchi 001 (IJCNN, 2013)

A Dynamic Pruning Strategy for Incremental Learning on a Budget. - Yusuke Kondo; Koichiro Yamauchi 001 (ICONIP (1), 2014)

Acceleration of reinforcement learning via game-based renewal energy management system. - Kenta Igushi; Takaya Ogiso; Koichiro Yamauchi 001 (SCIS&ISIS, 2014)

Incremental Learning on a Budget and its Application to Quick Maximum Power Point Tracking of Photovoltaic Systems. - Koichiro Yamauchi 001 (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Incremental learning on a budget and a quick calculation method using a tree-search algorithm. - Akihisa Kato; Hirohito Kawahara; Koichiro Yamauchi 001 (IJCNN, 2015)

A co-learning system for humans and machines. - Takaya Ogiso; Koichiro Yamauchi 001; Norio Ishii; Yuri Suzuki 001 (SoCPaR, 2015)

Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget. - Kazuyoshi Kato; Koichiro Yamauchi 001 (ICONIP (3), 2016)

Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput. - Daisuke Nishio; Koichiro Yamauchi 001 (ICONIP (2), 2016)

Co-learning system for humans and machines using a weighted majority-based method. - Takaya Ogiso; Koichiro Yamauchi 001; Norio Ishii; Yuri Suzuki 001 (Int. J. Hybrid Intell. Syst., 2016)

Minimum Modal Regression. - Koichiro Yamauchi 001; Vanamala Narasimha Bhargav (ICPRAM, 2018)

Swap Kernel Regression. - Masaharu Yamamoto; Koichiro Yamauchi 001 (ICANN (1), 2019)

Lightweight Modal Regression for Stand Alone Embedded Systems. - Taiki Watanabe; Koichiro Yamauchi 001 (ICONIP (2), 2019)

Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme. - Ashwin Devanga; Koichiro Yamauchi 001 (ICPRAM, 2019)

Few-Shot Class Incremental Learning with Generative Feature Replay. - Abhilash Reddy Shankarampeta; Koichiro Yamauchi 001 (ICPRAM, 2021)

Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting. - Koichiro Yamauchi 001 (Evol. Syst., 2023)

What Should Insect Brains Forget? - Koichiro Yamauchi 001; Takahiro Hirate (ICONIP (11), 2024)

Pruning Neural Network Parameters Using Recurrent Neural Networks. - Koki kinugasa; Koichiro Yamauchi 001 (ICONIP (3), 2024)

Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems. - Taihei Asai; Koichiro Yamauchi 001 (ICPRAM, 2024)

Low Cost Active Learning Framework for Short Answer Scoring. - Tatsuya Hori; Koichiro Yamauchi 001 (PKAW, 2024)

Virtual Learning Machine for Tiny Devices. - Nozomi Kitagawa; Koichiro Yamauchi 001 (PKAW, 2024)

Lifelong Learning Needs Sleep: Few-Shot Incremental Learning Enhanced by Sleep. - Yuma Kishimoto; Koichiro Yamauchi 001 (ICPRAM, 2025)