Koichiro Yamauchi

63 papers B 18C 9Journal 13Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Lifelong Learning Needs Sleep: Few-Shot Incremental Learning Enhanced by Sleep. ICPRAM Yuma Kishimoto, Koichiro Yamauchi
2024	C	`conf`	Low Cost Active Learning Framework for Short Answer Scoring. PKAW Tatsuya Hori, Koichiro Yamauchi
2024	—	`conf`	Pruning Neural Network Parameters Using Recurrent Neural Networks. ICONIP (3) Koki kinugasa, Koichiro Yamauchi
2024	C	`conf`	Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems. ICPRAM Taihei Asai, Koichiro Yamauchi
2024	C	`conf`	Virtual Learning Machine for Tiny Devices. PKAW Nozomi Kitagawa, Koichiro Yamauchi
2024	—	`conf`	What Should Insect Brains Forget? ICONIP (11) Koichiro Yamauchi, Takahiro Hirate
2023	J	`jnl`	Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting. Evol. Syst. Koichiro Yamauchi
2021	C	`conf`	Few-Shot Class Incremental Learning with Generative Feature Replay. ICPRAM Abhilash Reddy Shankarampeta, Koichiro Yamauchi
2019	C	`conf`	Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme. ICPRAM Ashwin Devanga, Koichiro Yamauchi
2019	—	`conf`	Lightweight Modal Regression for Stand Alone Embedded Systems. ICONIP (2) Taiki Watanabe, Koichiro Yamauchi
2019	—	`conf`	Swap Kernel Regression. ICANN (1) Masaharu Yamamoto, Koichiro Yamauchi
2018	C	`conf`	Minimum Modal Regression. ICPRAM Koichiro Yamauchi, Vanamala Narasimha Bhargav
2016	J	`jnl`	Co-learning system for humans and machines using a weighted majority-based method. Int. J. Hybrid Intell. Syst. Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki
2016	—	`conf`	Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput. ICONIP (2) Daisuke Nishio, Koichiro Yamauchi
2016	—	`conf`	Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget. ICONIP (3) Kazuyoshi Kato, Koichiro Yamauchi
2015	—	`conf`	A co-learning system for humans and machines. SoCPaR Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki
2015	B	`conf`	Incremental learning on a budget and a quick calculation method using a tree-search algorithm. IJCNN Akihisa Kato, Hirohito Kawahara, Koichiro Yamauchi
2014	—	`conf`	A Dynamic Pruning Strategy for Incremental Learning on a Budget. ICONIP (1) Yusuke Kondo, Koichiro Yamauchi
2014	—	`conf`	Acceleration of reinforcement learning via game-based renewal energy management system. SCIS&ISIS Kenta Igushi, Takaya Ogiso, Koichiro Yamauchi
2014	J	`jnl`	Incremental Learning on a Budget and its Application to Quick Maximum Power Point Tracking of Photovoltaic Systems. J. Adv. Comput. Intell. Intell. Informatics Koichiro Yamauchi
2013	B	`conf`	An importance weighted projection method for incremental learning under unstationary environments. IJCNN Koichiro Yamauchi
2013	—	`conf`	Incremental Learning on a Budget and Its Application to Power Electronics. ICONIP (2) Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihisa Kato
2012	—	`conf`	Incremental learning on a budget and its application to quick maximum power point tracking of photovoltaic systems. SCIS&ISIS Koichiro Yamauchi
2011	J	`jnl`	Incremental model selection and ensemble prediction under virtual concept drifting environments. Evol. Syst. Koichiro Yamauchi
2011	B	`conf`	Pruning with replacement and automatic distance metric detection in limited general regression neural networks. IJCNN Koichiro Yamauchi
2010	J	`jnl`	High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks. J. Adv. Comput. Intell. Intell. Informatics Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara
2010	B	`conf`	Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments. PRICAI Koichiro Yamauchi
2010	B	`conf`	Incremental learning and model selection under virtual concept drifting environments. IJCNN Koichiro Yamauchi
2010	J	`jnl`	Modeling of Car Driver Cognitive Process Based on Hazard Perception in Front of Car. Aust. J. Intell. Inf. Process. Syst. Kazutaka Kouda, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa
2009	B	`conf`	Computational Modeling of Risk-Dependent Eye Movements of Car Drivers. SMC Takashi Omori, Masayoshi Sato, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita
2009	B	`conf`	Learning, detecting, understanding, and predicting concept changes. IJCNN Kyosuke Nishida, Koichiro Yamauchi
2009	J	`jnl`	Optimal incremental learning under covariate shift. Memetic Comput. Koichiro Yamauchi
2009	—	`conf`	Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network. ICONIP (1) Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara
2008	—	`conf`	Computational Modeling of Risk-Related Eye Movement of Car Drivers. ICONIP (1) Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita
2008	—	`conf`	Covariate Shift and Incremental Learning. ICONIP (1) Koichiro Yamauchi
2008	B	`conf`	Detecting sudden concept drift with knowledge of human behavior. SMC Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi
2007	B	`conf`	Detecting Concept Drift Using Statistical Testing. Discovery Science Kyosuke Nishida, Koichiro Yamauchi
2007	J	`jnl`	Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep. IEICE Trans. Inf. Syst. Koichiro Yamauchi, Jiro Hayami
2007	—	`conf`	Incremental Learning of Spatio-temporal Patterns with Model Selection. ICANN (1) Koichiro Yamauchi, Masayoshi Sato
2007	—	`conf`	Model of driver eye motion based on driving plan and prediction of changes in the environment. FOCI Yuki Togashi, Takashi Omori, Koichiro Yamauchi
2007	—	`conf`	PLS Mixture Model for Online Dimension Reduction. ICONIP (1) Jiro Hayami, Koichiro Yamauchi
2007	B	`conf`	Quick online feature selection method for regression -A feature selection method inspired by human behavior-. SMC Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2006	J	`jnl`	An online learning algorithm with dimension selection using minimal hyper basis function networks. Syst. Comput. Jpn. Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2006	B	`conf`	Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-. FUZZ-IEEE Koichiro Yamauchi, Jiro Hayami
2005	—	`conf`	ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. Multiple Classifier Systems Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2005	J	`jnl`	Fast incremental learning methods inspired by biological learning behavior. Artif. Life Robotics Koichiro Yamauchi, Takayuki Oohira, Takashi Omori
2004	B	`conf`	A quick learning method that gambles: a learning system that hates learning. IJCNN Koichiro Yamauchi, Ryuji Oshima, Takashi Omori
2004	B	`conf`	An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. ICONIP Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2004	B	`conf`	Incremental Learning and Dimension Selection Through Sleep. ICONIP Koichiro Yamauchi
2003	J	`jnl`	Improvement of Robot Sensor by Integrating Information Using Neural Network. Int. J. Artif. Intell. Tools Hiromi Takeuchi, Yoshifumi Terabayashi, Koichiro Yamauchi, Naohiro Ishii
2003	B	`conf`	Incremental learning with sleep. IJCNN Koichiro Yamauchi
2003	C	`conf`	Meta-learning for Fast Incremental Learning. ICANN Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
2001	—	`conf`	Optimization with Linear Constraints in the Neural Network. IWANN (1) Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura
2000	C	`conf`	Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning. IDEAL Kazunori Iwata, Nobuhiro Ito, Koichiro Yamauchi, Naohiro Ishii
1999	J	`jnl`	A self-supervised learning system for pattern recognition by sensory integration. Neural Networks Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii
1999	J	`jnl`	Incremental learning methods with retrieving of interfered patterns. IEEE Trans. Neural Networks Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii
1998	B	`conf`	An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems. ICONIP Koichiro Yamauchi, Toshie Imai, Naohiro Ishii
1998	B	`conf`	Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells. ICONIP Koichiro Yamauchi, Naohiro Ishii
1998	B	`conf`	Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network. ICONIP Sachio Itoh, Shinji Ishiguro, Koichiro Yamauchi, Naohiro Ishii
1997	—	`conf`	Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems. ICONIP (2) Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii
1997	—	`conf`	Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors. ICONIP (1) Koichiro Yamauchi, Satoshi Sugiura, Naohiro Ishii
1996	—	`conf`	A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors. International Conference on Evolutionary Computation Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii
1995	—	`conf`	An incremental learning method with recalling interfered patterns. ICNN Koichiro Yamauchi, Naohiro Ishii