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ORCIDBo Zhou 0016
Person information
- affiliation: Waseda University, Graduate School of Information, Production and System, Fukuoka, Japan
Other persons with the same name
- Bo Zhou — disambiguation page
- Bo Zhou 0001
![[0000-0002-7824-3673]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7824-3673")
— Liverpool John Moores University, UK - Bo Zhou 0002 — University of California, Riverside, CA, USA
- Bo Zhou 0003 — University of California, Irvine, CA, USA
- Bo Zhou 0004 — Beijing Institute of Technology, School of Inf. and Electron., Beijing, China
- Bo Zhou 0005 — German Research Center for Artificial Intelligence, DFKI, Kaiserslautern, Germany
- Bo Zhou 0006 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
- Bo Zhou 0007 — South China Normal University, School of Mathematical Sciences, Guangzhou, China
- Bo Zhou 0008 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Bo Zhou 0009 — Yale University, School of Engineering and Applied Science, New Haven, CT, USA (and 2 more)
- Bo Zhou 0010 — Zhejiang University, College of Computer Science, Hangzhou, China
- Bo Zhou 0011 — Queen Mary University of London, School of Engineering and Materials Science, London, UK
- Bo Zhou 0012 — Virginia Tech, Bradley Department of Electrical and Computer Engineering, Blacksburg, VA, USA (and 1 more)
- Bo Zhou 0013 (aka: Bo "Bobby" Zhou) — University of Maryland, College Park, MD, USA (and 1 more)
- Bo Zhou 0014 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Jiangsu Key Laboratory of New Energy Generation and Power Conversion, Nanjing, China
- Bo Zhou 0015 — Qualcomm, San Diego, CA, USA (and 2 more)
- Bo Zhou 0017 — Southeast University, School of Automation, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, China
- Bo Zhou 0018 — Altera Corporation, San Jose, CA, USA (and 2 more)
- Bo Zhou 0019 — PLA University of Science and Technology, Institute of Command Automation, Nanjing, China
- Bo Zhou 0020 — Chinese PLA General Hospital, Department of Neurology, National Clinical Research Center for Geriatric Diseases, Beijing, China
- Bo Zhou 0021 — Chongqing Jiaotong University, College of Mathematics and Statistics, Chongqing, China (and 2 more)
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2020 – today
- 2023
[j3]Bo Zhou, Benhui Chen, Jinglu Hu:
Authors' Reply to the Comments by Kamata et al. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(11): 1446-1449 (2023)
2010 – 2019
- 2017
- [c9]Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu:
A mixture of multiple linear classifiers with sample weight and manifold regularization. IJCNN 2017: 3747-3752 - 2016
- [j2]Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu:
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2558-2565 (2016) - [c8]Weite Li, Bo Zhou, Jinglu Hu:
A kernel level composition of multiple local classifiers for nonlinear classification. IJCNN 2016: 3845-3850 - 2015
- [c7]Chao Dong, Bo Zhou, Jinglu Hu:
A hierarchical SVM based multiclass classification by using similarity clustering. IJCNN 2015: 1-6 - [c6]Di Fu, Bo Zhou, Jinglu Hu:
Improving SVM based multi-label classification by using label relationship. IJCNN 2015: 1-6 - [c5]Bo Zhou, Di Fu, Chao Dong, Jinglu Hu:
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification. IJCNN 2015: 1-7 - 2014
- [j1]Bo Zhou, Benhui Chen, Jinglu Hu:
Quasi-Linear Support Vector Machine for Nonlinear Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(7): 1587-1594 (2014) - [c4]Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu:
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification. IJCNN 2014: 1409-1415 - [c3]Chenlong Hu, Bo Zhou, Jinglu Hu:
Fast Support Vector Data Description training using edge detection on large datasets. IJCNN 2014: 2176-2182 - 2013
- [c2]Bo Zhou, Cheng Yang, Haixiang Guo, Jinglu Hu:
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification. IJCNN 2013: 1-7
2000 – 2009
- 2009
- [c1]Bo Zhou, Jinglu Hu:
A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series. NaBIC 2009: 1552-1555
Coauthor Index
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