Bo Zhou

Affiliations:
  • Waseda University, Graduate School of Information, Production and System, Fukuoka, Japan


According to our database1, Bo Zhou authored at least 12 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Authors' Reply to the Comments by Kamata et al.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., November, 2023

2017
A mixture of multiple linear classifiers with sample weight and manifold regularization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A kernel level composition of multiple local classifiers for nonlinear classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving SVM based multi-label classification by using label relationship.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A hierarchical SVM based multiclass classification by using similarity clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Quasi-Linear Support Vector Machine for Nonlinear Classification.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fast Support Vector Data Description training using edge detection on large datasets.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2009
A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


  Loading...