| A survey of collaborative filtering techniques X Su, TM Khoshgoftaar Advances in artificial intelligence 2009 (1), 421425, 2009 | 5221 | 2009 |
| Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers R Greiner, X Su, B Shen, W Zhou Machine Learning 59, 297-322, 2005 | 290 | 2005 |
| Collaborative filtering for multi-class data using belief nets algorithms X Su, TM Khoshgoftaar 2006 18th IEEE international conference on Tools with Artificial …, 2006 | 191 | 2006 |
| Imputation-boosted collaborative filtering using machine learning classifiers X Su, TM Khoshgoftaar, X Zhu, R Greiner Proceedings of the 2008 ACM symposium on Applied computing, 949-950, 2008 | 111 | 2008 |
| Hybrid collaborative filtering algorithms using a mixture of experts X Su, R Greiner, TM Khoshgoftaar, X Zhu IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), 645-649, 2007 | 65 | 2007 |
| Discriminative parameter learning of general Bayesian network classifiers B Shen, X Su, R Greiner, P Musilek, C Cheng Proceedings. 15th IEEE International Conference on Tools with Artificial …, 2003 | 51 | 2003 |
| A Mixture Imputation-Boosted Collaborative Filter. X Su, TM Khoshgoftaar, R Greiner FLAIRS, 312-316, 2008 | 39 | 2008 |
| Using imputation techniques to help learn accurate classifiers X Su, TM Khoshgoftaar, R Greiner 2008 20th IEEE International Conference on Tools with Artificial …, 2008 | 34 | 2008 |
| Imputed neighborhood based collaborative filtering X Su, TM Khoshgoftaar, R Greiner 2008 IEEE/WIC/ACM international conference on web intelligence and …, 2008 | 31 | 2008 |
| Collaborative filtering for multi-class data using Bayesian networks X Su, TM Khoshgoftaar International Journal on Artificial Intelligence Tools 17 (01), 71-85, 2008 | 29 | 2008 |
| Advances in artificial intelligence X Su, TM Khoshgoftaar Proceedings of 17th Australian Joint Conference on Artificial Intelligence, 2009 | 22 | 2009 |
| Using classifier-based nominal imputation to improve machine learning X Su, R Greiner, TM Khoshgoftaar, A Napolitano Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011 | 19 | 2011 |
| Making an accurate classifier ensemble by voting on classifications from imputed learning sets X Su, TM Khoshgoftaar, R Greiner International Journal of Information and Decision Sciences 1 (3), 301-322, 2009 | 16 | 2009 |
| Rule-based multiple object tracking for traffic surveillance using collaborative background extraction X Su, TM Khoshgoftaar, X Zhu, A Folleco Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake …, 2007 | 15 | 2007 |
| Query size estimation using clustering techniques X Su, M Kubat, MA Tapia 17th IEEE International Conference on Tools with Artificial Intelligence …, 2005 | 10 | 2005 |
| VoB predictors: Voting on bagging classifications X Su, TM Khoshgoftarr, X Zhu 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 7 | 2008 |
| Collaborative filtering using machine learning and statistical techniques X Su Florida Atlantic University, 2008 | 6 | 2008 |
| Arbitrarily-shaped window based stereo matching using the go-light optimization algorithm X Su, TM Khoshgoftaar 2007 IEEE International Conference on Image Processing 6, VI-556-VI-559, 2007 | 6 | 2007 |
| A progressive edge-based stereo correspondence method X Su, TM Khoshgoftaar International Symposium on Visual Computing, 248-257, 2007 | 4 | 2007 |
| VCI predictors: voting on classifications from imputed learning sets X Su, TM Khoshgoftarr, X Zhu 2008 IEEE International Conference on Information Reuse and Integration, 296-301, 2008 | 2 | 2008 |
Taghi M. KhoshgoftaarMotorola Endowed Chair Professor, Computer Science, Florida Atlantic University在 fau.edu 的电子邮件经过验证
