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Publications by Khoshgoftaar, Taghi

In Journal (refereed)

1. X. Su, T. Khoshgoftaar, R. Greiner. "Making an accurate classifier ensemble by voting on classifications from imputed learning sets". International Journal of Information and Decision Sciences, (ed: Dr. Reda Alhajj and Dr. Kang Zhang), 1(3), pp 301-322, June 2009. PDFview

In Conference (refereed)

2. X. Su, R. Greiner, T. Khoshgoftaar, A. Napolitano. "Using Classifier-Based Nominal Imputation to Improve Machine Learning". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, May 2011. PDFview
3. X. Su, T. Khoshgoftaar, R. Greiner. "VipBoost: a More Accurate Boosting Algorithm". Florida AI Research Symposium, pp 356-360, May 2009. PDFview
4. X. Su, T. Khoshgoftaar, R. Greiner. "Imputed Neighborhood Based Collaborative Filtering". IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, pp 633-639, December 2008. PDFview
5. X. Su, T. Khoshgoftaar, R. Greiner. "Using Imputation Techniques to Help Learn Accurate Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 437-444, November 2008. PDFview
6. X. Su, T. Khoshgoftaar, R. Greiner. "A Mixture Imputation-Boosted Collaborative Filter". Florida AI Research Symposium, pp 312--317, May 2008. PDFview
7. X. Su, T. Khoshgoftaar, X. Zhu, R. Greiner. "Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers". ACM Symposium on Applied Computing, pp 949-950, March 2008. PDFview
8. X. Su, R. Greiner, T. Khoshgoftaar, X. Zhu. "Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts". IEEE/WIC/ACM International Conference on Web Intelligence, pp 645-649, November 2007. PDFview
9. X. Su, T. Khoshgoftaar. "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 497-504, November 2006. PDFview

Other Categories

10. X. Su, T. Khoshgoftaar. "Arbitrarily-Shaped Window Based Stereo Matching Using the Go-Light Optimization Algorithm". International Conference on Image Processing, September 2007. PDFview
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