Publications

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Zhong, M, Hecker J, Maidhoff I, Shibly P, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M.  2005.  Probabilistic Neural Network: Comparisons of the Cross-Validation Approach and a Fast Heuristic to choose the Smoothing Parameters. 2005 Artificial Neural Networks in Engineering.
Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S.  2007.  Experiments with Safe micro-ARTMAP: Effect of the Network Parameters on the Network Performance. Neural Networks. 20.2:245–259.
Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S.  2006.  Experiments with Safe ARTMAP and Comparisons to Other ART Networks. Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2006). :720–727.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2007.  Experiments with an Innovative Tree Pruning Algorithm. IASTED International Conference on Artificial Intelligence and Applications.
Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M, Richie S.  2005.  Experiments with Micro-ARTMAP: Effect of the Network Parameters on the Network Performance. 2005 Artificial Neural Networks in Engineerin.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M.  2006.  Generalized Entropy for Splitting Numerical Attributes in Decision Tree Classifiers. Proceedings of the 19th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (FLAIRS 2006). :604–609.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2007.  k-Norm Misclassification Rate Estimation for Decision Trees. Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007). :163–168.
Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M, Richie S.  2006.  Experiments with Safe Micro-ARTMAP: Effect of the Network Parameters on the Network Performance. WCCI 2006.
Zhong, M, Coggeshall D, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S.  2006.  Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks. :1870–1877.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2008.  A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Machine Learning. 71:55-88.
Zhong, M, Coggeshall D, Ghaneie EG, Pope T, Rivera MA, Georgiopoulos M, Anagnostopoulos GC.  2006.  Gap-Based Estimation: Choosing the smoothing parameters for Probabilistic and General Regression Neural Networks. WCCI 2006.
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Beck, JR, Garcia ME, Zhong M, Georgiopoulos M, Anagnostopoulos GC.  2008.  A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree’s performance. 21st Artificial Intelligence Research Symposium.