Bing-Yu Sun

According to our database1, Bing-Yu Sun authored at least 32 papers between 2004 and 2017.

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

Timeline

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Bibliography

2017
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.
Bioinformatics, 2017

2016
From Observational Studies to Causal Rule Mining.
ACM TIST, 2016

2015
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression.
Neural Processing Letters, 2015

Using causal discovery for feature selection in multivariate numerical time series.
Machine Learning, 2015

From Observational Studies to Causal Rule Mining.
CoRR, 2015

2014
Discovering statistically non-redundant subgroups.
Knowl.-Based Syst., 2014

An improvement of symbolic aggregate approximation distance measure for time series.
Neurocomputing, 2014

2013
A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI.
Remote Sensing, 2013

The Markov Model of Bean Optimization Algorithm and Its Convergence Analysis.
Int. J. Comput. Intell. Syst., 2013

A Novel Evolutionary Algorithm Inspired by Beans Dispersal.
Int. J. Comput. Intell. Syst., 2013

Inferring microRNA-mRNA causal regulatory relationships from expression data.
Bioinformatics, 2013

Mining Causal Association Rules.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Prediction about time series based on updated prediction ARMA model.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
An Improved Bean Optimization Algorithm for Solving TSP.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Factor selection and regression for forecasting relief food demand.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Discovery of Causal Rules Using Partial Association.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Application of wavelet transform in image fusion based on remotely sensed data.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

2010
Feature fusion using locally linear embedding for classification.
IEEE Trans. Neural Networks, 2010

Kernel Discriminant Learning for Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2010

An improved ordinal regression approach with Sum-of-Margin principle.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Visualizing the Result of Fuzzy Clustering Using GIS.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

Climate Prediction by SVM Based on Initial Conditions.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
Training SVMs for Multiple Features Classification Problems.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
On Constructing and Pruning SVM Ensembles.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

A Study on the Dynamic Time Warping in Kernel Machines.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

2006
Autonomous Grasping of a Space Robot Multisensory Gripper.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Support Vector Machine for Multiple Feature Classifcation.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2005
Lidar signal denoising using least-squares support vector machine.
IEEE Signal Process. Lett., 2005

A novel robust regression approach of Lidar signal based on modified least squares support vector machine.
IJPRAI, 2005

2004
Human face recognition based on multi-features using neural networks committee.
Pattern Recognition Letters, 2004

Support Vector Machine Committee for Classification.
Proceedings of the Advances in Neural Networks, 2004


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