Publications with keyword "Classifier"
| 1. | J. Li, O. Zaiane, A. Osornio-Vargas. "Discovering Statistical Significant Co-location Rules in Datasets with Extended Spatial Objects". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Munich, Germany, September 2014.   |
| 2. | P. Cao, D. Zhao, O. Zaiane. "Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD". Computerized Medical Imaging and Graphics, 38(3), pp 137-150, April 2014. |
| 3. | P. Cao, D. Zhao, O. Zaiane. "Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning". International Conference on Hybrid Intelligent Systems, Hammamet, Tunisia, pp 35-40, December 2013. |
| 4. | 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. |
| 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. |
| 6. | D. Chodos, O. Zaiane. "ARC-UI: A Visualization Tool for Associative Classifiers". Information Visualization, London, England, pp 296-301, July 2008. |
| 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. |
| 8. | C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. |
| 9. | A. Smola, P. Bartlett, B. Scholkopf, D. Schuurmans. "Introduction to Large Margin Classifiers". Value of Information in Inference, Learning and Decision-Making, Whistler, B.C., Canada, December 2005. |
| 10. | A. Kapoor, R. Greiner. "Budgeted Learning of Bounded Active Classifiers". Utility-Based Data Mining (UBDM), August 2005. |
| 11. | Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. |
| 12. | B. Shen, X. Su, R. Greiner, P. Musilek, C. Cheng. "Discriminative Parameter Learning of General Bayesian Network Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003. |
| 13. | R. Greiner, A. Grove, D. Roth. "Learning Cost-Sensitive Active Classifiers". Artificial Intelligence (AIJ), 139(2), pp 137--174, September 2002. |
| 14. | J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. |
