Publications

Refereed Journal Papers
[5] X. Su, T.M. Khoshgoftaar, R. Greiner, Collaborative Filtering Using Imputation Techniques (submitted to refereed journal).
[4] X. Su, T.M. Khoshgoftaar, A Survey of Collaborative Filtering Techniques, Advances in Artificial Intelligence (AAI) , vol. 2009, Article ID 421425, 19 pages, 2009. doi:10.1155/2009/421425.
[3] X. Su, T.M. Khoshgoftaar, R. Greiner, Making an Accurate Classifier Ensemble by Voting on Classifications from Imputed Learning Sets, International Journal on Information and Decision Sciences (IJIDS), 1(3), pp.301-322, 2009.
[2] X. Su, T.M. Khoshgoftaar, Collaborative Filtering Using Bayesian Networks, International Journal on Artificial Intelligence Tools (IJAIT), 17(1), pp71-85, 2008.
[1] R. Greiner, X. Su, B. Shen, W. Zhou, Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers, Machine Learning, 59(3), pp.297-322, 2005.

Refereed Conference Papers
[15] X. Su, R. Greiner, T.M. Khoshgoftaar, A. Napolitano, Using Classifier-Based Nominal Imputation to Improve Machine Learning, The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzhen, China, May 24-27, 2011.
[14] X. Su, T.M. Khoshgoftaar, R. Greiner, VipBoost: a More Accurate Boosting Algorithm, the 22nd Conference of Florida Artificial Intelligence Research Society (FLAIRS’09), pp. 356-360, Sanibel Island, FL, USA, May 2009 (AAAI Press).
[13] X. Su, T. M. Khoshgoftaar, R. Greiner, Imputed Neighborhood Based Collaborative Filtering,  IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), pp. 633-639, Sydney, Australia, Dec. 2008.
[12] X. Su, T. M. Khoshgoftaar, R. Greiner, Using Imputation Techniques to Help Learn Accurate Classifiers,  The 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'08), 1, pp. 437-444, Dayton, OH, USA, Nov. 2008.
[11] X. Su, T. M. Khoshgoftaar, X. Zhu, VoB Predictors: Voting on Bagging Classifications,  The 19th International Conference on Pattern Recognition (ICPR'08), Tampa, FL, USA, December 2008.
[10] X. Su, T. M. Khoshgoftaar, X. Zhu, Voting on Classifications from Imputed Learning Sets, The IEEE International Conference on Information Reuse and Integration (IRI'08), pp. 296-301, Las Vegas, NV, USA, July 2008.
[9] X. Su, T.M. Khoshgoftaar, R. Greiner, A Mixture Imputation-Boosted Collaborative Filter, the 21st Conference of Florida Artificial Intelligence Research Society (FLAIRS’08), pp. 312-317, Coconut Grove, FL, USA, May 2008.
[8] X. Su, T.M. Khoshgoftaar, X. Zhu, R. Greiner, Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers, the 23rd Annual ACM Symposium on Applied Computing (SAC'08), pp. 949-950, Ceará, Brazil, March 2008.
[7] X. Su, T.M. Khoshgoftaar, A Progressive Edge-Based Stereo Matching Method, the 3rd International Symposium on Visual Computing (ISVC’07), G. Bebis et al. (Eds.) Part I, Lecture Notes in Computer Science (LNCS) 4841, pp. 248-257, Lake Tahoe, USA, Nov.2007.
[6] X. Su, T.M. Khoshgoftaar, X. Zhu, A. Folleco, Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction, the 3rd International Symposium on Visual Computing (ISVC’07), G. Bebis et al. (Eds.) Part II, Lecture Notes in Computer Science (LNCS) 4842, pp. 469-478, Lake Tahoe, USA, Nov. 2007.
[5] X. Su, R. Greiner, T.M. Khoshgoftaar, and X. Zhu, Hybrid Collaborative Filtering Algorithms with a Mixture of Experts, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), pp. 645-649, Silicon Valley, USA, Nov. 2007.
[4] X. Su, T.M. Khoshgoftaar, Arbitrarily-Shaped Window Based Stereo Matching Using the Go-Light Optimization Algorithm, the 14th IEEE International Conference on Image Processing (ICIP'07), No. 6, pp. 556-559, San Antonio, USA, Sept. 2007.
[3] X. Su, T.M. Khoshgoftaar, Collaborative Filtering for Multi-class Data Using Belief Net Algorithms, the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), pp. 497-504, Washington D.C., USA, Nov. 2006.
[2] X. Su, M. Kubat, M.A.Tapia, and C. Hu, Query Size Estimation Using Clustering Techniques, the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), pp.185-189, Hong Kong, China, Nov. 2005.
[1] B. Shen, X. Su, R. Greiner, et al., Discriminative Parameter Learning of General Bayesian Network Classifiers, the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), pp.296-305, Sacramento, California, USA, Nov. 2003.

Presentations
05/2011, "Using Classifier-Based Nominal Imputation to Improve Machine Learning", The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzhen, China.
05/2008, "A Mixture Imputation-Boosted Collaborative Filter", the 21st Conference of Florida Artificial Intelligence Research Society (FLAIRS’08), Coconut Grove, FL, USA.
11/2007, "A Progressive Edge-Based Stereo Correspondence Method", the 3rd International Symposium on Visual Computing (ISVC '07), Lake Tahoe, USA.
11/2007, "Hybrid Collaborative Filtering Algorithms with a Mixture of Experts", IEEE/WIC/ACM International Conference on Web Intelligence (WI '07), Silicon Valley, USA.
09/2007, "Arbitrarily-Shaped Window Based Stereo Matching Using the Go-Light Optimization Algorithm, the 14th IEEE International Conference on Image Processing (ICIP'07), San Antonio, TX, USA.
11/2006, "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms", IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), Washington D.C., USA.
11/2005, "Query Size Estimation Using Clustering Techniques", IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), Hong Kong, China.
11/2003, "Discriminative Parameter Learning of General Bayesian Network Classifiers", IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), Sacramento, CA, USA.

My Chinese Publications

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