Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKoichiro Yamauchi 0001
Person information
- affiliation: Chubu University, Computer Science, Japan
- affiliation: Hokkaido University, Japan
- affiliation: Nagoya Institute of Technology, Japan
Other persons with the same name
- Koichiro Yamauchi 0002 — Aishin AW Co., Ltd. (and 3 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c43]Taihei Asai, Koichiro Yamauchi:
Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems. ICPRAM 2024: 418-427- 2023
- [j13]Koichiro Yamauchi
:
Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting. Evol. Syst. 14(3): 437-460 (2023) - 2021
- [c42]Abhilash Reddy Shankarampeta, Koichiro Yamauchi:
Few-Shot Class Incremental Learning with Generative Feature Replay. ICPRAM 2021: 259-267
2010 – 2019
- 2019
- [c41]Masaharu Yamamoto, Koichiro Yamauchi:
Swap Kernel Regression. ICANN (1) 2019: 223-238 - [c40]Taiki Watanabe, Koichiro Yamauchi:
Lightweight Modal Regression for Stand Alone Embedded Systems. ICONIP (2) 2019: 367-379 - [c39]Ashwin Devanga, Koichiro Yamauchi:
Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme. ICPRAM 2019: 794-801 - 2018
- [c38]Koichiro Yamauchi, Vanamala Narasimha Bhargav:
Minimum Modal Regression. ICPRAM 2018: 448-455 - 2016
- [j12]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): 63-76 (2016) - [c37]Kazuyoshi Kato, Koichiro Yamauchi:
Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget. ICONIP (3) 2016: 202-210 - [c36]Daisuke Nishio, Koichiro Yamauchi:
Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput. ICONIP (2) 2016: 204-213 - 2015
- [c35]Akihisa Kato, Hirohito Kawahara, Koichiro Yamauchi:
Incremental learning on a budget and a quick calculation method using a tree-search algorithm. IJCNN 2015: 1-7 - [c34]Takaya Ogiso, Koichiro Yamauchi, Norio Ishii, Yuri Suzuki:
A co-learning system for humans and machines. SoCPaR 2015: 363-368 - 2014
- [j11]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): 682-696 (2014) - [c33]Yusuke Kondo, Koichiro Yamauchi:
A Dynamic Pruning Strategy for Incremental Learning on a Budget. ICONIP (1) 2014: 295-303 - [c32]Kenta Igushi, Takaya Ogiso, Koichiro Yamauchi:
Acceleration of reinforcement learning via game-based renewal energy management system. SCIS&ISIS 2014: 415-420 - 2013
- [c31]Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihisa Kato:
Incremental Learning on a Budget and Its Application to Power Electronics. ICONIP (2) 2013: 341-351 - [c30]Koichiro Yamauchi:
An importance weighted projection method for incremental learning under unstationary environments. IJCNN 2013: 1-9 - 2012
- [c29]Koichiro Yamauchi:
Incremental learning on a budget and its application to quick maximum power point tracking of photovoltaic systems. SCIS&ISIS 2012: 71-78 - 2011
- [j10]Koichiro Yamauchi:
Incremental model selection and ensemble prediction under virtual concept drifting environments. Evol. Syst. 2(4): 249-260 (2011) - [c28]Koichiro Yamauchi:
Pruning with replacement and automatic distance metric detection in limited general regression neural networks. IJCNN 2011: 899-906 - 2010
- [j9]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) - [j8]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): 677-682 (2010) - [c27]Koichiro Yamauchi:
Incremental learning and model selection under virtual concept drifting environments. IJCNN 2010: 1-8 - [c26]Koichiro Yamauchi:
Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments. PRICAI 2010: 570-582
2000 – 2009
- 2009
- [j7]Koichiro Yamauchi:
Optimal incremental learning under covariate shift. Memetic Comput. 1(4): 271-279 (2009) - [c25]Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara:
Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network. ICONIP (1) 2009: 606-613 - [c24]Kyosuke Nishida, Koichiro Yamauchi:
Learning, detecting, understanding, and predicting concept changes. IJCNN 2009: 2280-2287 - [c23]Takashi Omori, Masayoshi Sato, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita:
Computational Modeling of Risk-Dependent Eye Movements of Car Drivers. SMC 2009: 2457-2461 - 2008
- [c22]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: 293-300 - [c21]Koichiro Yamauchi:
Covariate Shift and Incremental Learning. ICONIP (1) 2008: 1154-1162 - [c20]Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi:
Detecting sudden concept drift with knowledge of human behavior. SMC 2008: 3261-3267 - 2007
- [j6]Koichiro Yamauchi, Jiro Hayami:
Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep. IEICE Trans. Inf. Syst. 90-D(4): 722-735 (2007) - [c19]Kyosuke Nishida, Koichiro Yamauchi:
Detecting Concept Drift Using Statistical Testing. Discovery Science 2007: 264-269 - [c18]Yuki Togashi, Takashi Omori, Koichiro Yamauchi:
Model of driver eye motion based on driving plan and prediction of changes in the environment. FOCI 2007: 289-295 - [c17]Koichiro Yamauchi, Masayoshi Sato:
Incremental Learning of Spatio-temporal Patterns with Model Selection. ICANN (1) 2007: 149-158 - [c16]Jiro Hayami, Koichiro Yamauchi:
PLS Mixture Model for Online Dimension Reduction. ICONIP (1) 2007: 279-288 - [c15]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: 1895-1900 - 2006
- [j5]Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
An online learning algorithm with dimension selection using minimal hyper basis function networks. Syst. Comput. Jpn. 37(11): 11-21 (2006) - [c14]Koichiro Yamauchi, Jiro Hayami:
Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-. FUZZ-IEEE 2006: 1186-1193 - 2005
- [j4]Koichiro Yamauchi, Takayuki Oohira, Takashi Omori:
Fast incremental learning methods inspired by biological learning behavior. Artif. Life Robotics 9(3): 128-134 (2005) - [c13]Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. Multiple Classifier Systems 2005: 176-185 - 2004
- [c12]Koichiro Yamauchi:
Incremental Learning and Dimension Selection Through Sleep. ICONIP 2004: 489-495 - [c11]Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. ICONIP 2004: 502-507 - 2003
- [j3]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): 139-152 (2003) - [c10]Takayuki Oohira, Koichiro Yamauchi, Takashi Omori:
Meta-learning for Fast Incremental Learning. ICANN 2003: 157-164 - 2001
- [c9]Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura:
Optimization with Linear Constraints in the Neural Network. IWANN (1) 2001: 561-569 - 2000
- [c8]Kazunori Iwata, Nobuhiro Ito, Koichiro Yamauchi, Naohiro Ishii:
Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning. IDEAL 2000: 326-331
1990 – 1999
- 1999
- [j2]Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii:
A self-supervised learning system for pattern recognition by sensory integration. Neural Networks 12(10): 1347-1358 (1999) - [j1]Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii:
Incremental learning methods with retrieving of interfered patterns. IEEE Trans. Neural Networks 10(6): 1351-1365 (1999) - 1998
- [c7]Sachio Itoh, Shinji Ishiguro, Koichiro Yamauchi, Naohiro Ishii:
Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network. ICONIP 1998: 364-368 - [c6]Koichiro Yamauchi, Naohiro Ishii:
Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells. ICONIP 1998: 757-760 - [c5]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: 761-766 - 1997
- [c4]Koichiro Yamauchi, Satoshi Sugiura, Naohiro Ishii:
Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors. ICONIP (1) 1997: 149-152 - [c3]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: 859-864 - 1996
- [c2]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: 694-699 - 1995
- [c1]Koichiro Yamauchi, Naohiro Ishii:
An incremental learning method with recalling interfered patterns. ICNN 1995: 3159-3164
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-03 22:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
