Xiaoyuan Su

According to our database, Xiaoyuan Su authored at least 20 papers between 2003 and 2011.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2011

Using Classifier-Based Nominal Imputation to Improve Machine Learning.

Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2009

Making an accurate classifier ensemble by voting on classifications from imputed learning sets.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner

Int. J. Inf. Decis. Sci., 2009

A Survey of Collaborative Filtering Techniques.

Xiaoyuan Su, Taghi M. Khoshgoftaar

Adv. Artif. Intell., 2009

VipBoost: A More Accurate Boosting Algorithm.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008

Collabortive filtering using machine learning and statistical techniques.

Xiaoyuan Su

PhD thesis, 2008

Collaborative Filtering for Multi-Class Data Using Bayesian Networks.

Xiaoyuan Su, Taghi M. Khoshgoftaar

Int. J. Artif. Intell. Tools, 2008

Imputed Neighborhood Based Collaborative Filtering.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Imputation-boosted collaborative filtering using machine learning classifiers.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

VCI predictors: Voting on classifications from imputed learning sets.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

Using Imputation Techniques to Help Learn Accurate Classifiers.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

VoB predictors: Voting on bagging classifications.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Mixture Imputation-Boosted Collaborative Filter.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.

Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction.

Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

A Progressive Edge-Based Stereo Correspondence Method.

Xiaoyuan Su, Taghi M. Khoshgoftaar

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm.

Xiaoyuan Su, Taghi M. Khoshgoftaar

Proceedings of the International Conference on Image Processing, 2007

2006

Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms.

Xiaoyuan Su, Taghi M. Khoshgoftaar

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

2005

Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.

Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou

Mach. Learn., 2005

Query Size Estimation Using Clustering Techniques.

Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

2003

Discriminative Parameter Learning of General Bayesian Network Classifiers.

Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003