Publications

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Zooghby, EAH, Christodoulou CG, Georgiopoulos M.  1998.  Adaptive interference cancellation in circular arrays with radialbasis function neural networks. IEEE Antennas and Propagation Society International Symposium.
Zooghby, EAH, Christodoulou CG, Georgiopoulos M.  1998.  Multiple sources neural network direction finding with arbitrary separations. IEEE-APS Conference on Antennas and Propagation for Wireless Communications. :57–60.
Zooghby, AHE, Christodoulou CG, Georgiopoulos M.  1998.  Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays. IEEE Transactions on Antennas and Propagation. 46:1891-1893.
Zooghby, AH, Christodoulou CG, Georgiopoulos M.  2000.  A Neural Network-Based Smart Antenna for Multiple Source Tracking. IEEE Transactions on Antennas and Propagation. 48.5:768–776.
Zooghby, EAH, Christodoulou C, Georgiopoulos M.  1998.  Neural Network-Based Adaptive Beamforming for One- and Two-Dimensional Antenna Arrays. IEEE Transactions on Antennas and Propagation. 46.1:1891–1893.
Zooghby, EAH, Christodoulou CG, Georgiopoulos M.  1998.  Radial basis function neural network algorithm for adaptivebeamforming in cellular communication systems. IEEE-APS Conference on Antennas and Propagation for Wireless Communications. :53–56.
Zooghby, EAH, Christodoulou CG, Georgiopoulos M.  1997.  Performance of Radial-Basis Function Networks for Direction of Arrival Estimation with Antenna Arrays. IEEE Transactions on Antennas and Propagation. 45.11:1611–1617.
Zooghby, EAH, Christodoulou C, Georgiopoulos M.  1999.  A neural-network-based linearly constrained minimum variance beamformer. Microwave and Optical Technology Letters. 21.6:451–455.
Zooghby, EA, Christodoulou CG, Georgiopoulos M.  1998.  Neural Network based beamforming for interference cancellation. Conference on Applications and Science of Computational Intelligence. :420–429.
Zooghby, AHE, Christodoulou CG, Georgiopoulos M.  1998.  Adaptive interference cancellation with neural networks. 1998 Virginia Tech Symposium on Wireless Personal Communications.
Zooghby, AE, Christodoulou CG, Georgiopoulos M.  1997.  Neural network approach for direction of arrival estimation. Proceedings SPIE; Conference of Applications and Science of.
Zooghby, EAH, Christodoulou CG, Georgiopoulos M.  1999.  Multiple mobile user tracking with neural network-based adaptive array antennas. SPIE Conference on Digital Wireless Communications. :88–97.
Zooghby, AH, Christodoulou CG, Georgiopoulos M.  1998.  A novel approach to adaptive nulling with neural networks. Southeastcon. :216–219.
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.
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.