Publications

Export 241 results:
Sort by: [ Author (Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Z
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, AH, Christodoulou CG, Georgiopoulos M.  1998.  A novel approach to adaptive nulling with neural networks. Southeastcon. :216–219.
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 C, Georgiopoulos M.  1999.  A neural-network-based linearly constrained minimum variance beamformer. Microwave and Optical Technology Letters. 21.6:451–455.
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, 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, AHE, Christodoulou CG, Georgiopoulos M.  1998.  Adaptive interference cancellation with neural networks. 1998 Virginia Tech Symposium on Wireless Personal Communications.
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 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.  1999.  Multiple mobile user tracking with neural network-based adaptive array antennas. SPIE Conference on Digital Wireless Communications. :88–97.
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, EA, Christodoulou CG, Georgiopoulos M.  1998.  Neural Network based beamforming for interference cancellation. Conference on Applications and Science of Computational Intelligence. :420–429.
Zooghby, AE, Christodoulou CG, Georgiopoulos M.  1997.  Neural network approach for direction of arrival estimation. Proceedings SPIE; Conference of Applications and Science of.
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, 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, 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, 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, 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 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, 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.  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, 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, 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, Georgiopoulos M, Anagnostopoulos GC.  2007.  Experiments with an Innovative Tree Pruning Algorithm. IASTED International Conference on Artificial Intelligence and Applications.
Y
Young, C, Georgiopoulos M, Hagen S, Geiger C, Dagley-Falls M, Islas A, Ramsey P, Lancey P, Forde D, Bradbury E.  2011.  Improving Student Learning in Calculus through Applications. International Journal of Mathematical Education in Science and Technology. 42:591-604.
Y.Huang, M. Georgiopoulos, R. DeMara, G.C. Anagnostopoulos, M. Georgiopoulos.  2011.  Accelerated Learning of Generalized Sammon Mappings. International Joint Conference on Neural Networks (IJCNN).
W
Watkins, RC, Reynolds KM, DeMara R, Georgiopoulos M, Gonzalez A, Eaglin R.  2003.  TRACKING DIRTY PROCEEDS: EXPLORING DATA MINING TECHNOLOGIES AS TOOLS TO INVESTIGATE MONEY LAUNDERING. Police Practice and Research. 4.2:163–178.
V
Verzi, S, Heileman G, Georgiopoulos M, Healy M.  2008.  Hierarchical ARTMAP. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :41–46.
Verzi, S, Heileman GL, Georgiopoulos M, Anagnostopoulos GC.  2002.  Off-line structural risk minimization and BARTMAP-S. the 2002 International Joint Conference on Neural Networks.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2002.  Off-line structural risk minimization and BARTMAP-S. Neural Networks. :2533–2538.
Verzi, SJ, Heileman GL, Georgiopoulos M, Healy MJ.  2001.  Rademacher penalization applied to Fuzzy ARTMAP and Boosted ARTMAP. Proceedings of the International Joint Conference on Neural Networks. :1191–1196.
Verzi, S, Heileman GL, Georgiopoulos M.  2006.  Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting Theory. Neural Networks. 19.4:446–468.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2003.  Universal approximation with Fuzzy ART and Fuzzy ARTMAP. Neural Networks. :1987–1992.
Verzi, SJ, Heileman GL, Georgiopoulos M, Healy MJ.  1998.  Boosted ARTMAP. IEEE International Joint Conference on Neural Networks. :396–401.
Vartak, A, Georgiopoulos M, Anagnostopoulos GC.  2005.  On-line Gaussae Newton-based learning for fully recurrent neural networks. Nonlinear Analysis. 63:e867–e876.
Vargas, JJ, DeMara RF, Gonzalez AJ, Georgiopoulos M, Marshall H.  2004.  PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic. Journal of Defense Modeling and Simulation. 1.3:171–183.
T
T.Rubio, Zhang T, Georgiopoulos M, Kaylani A.  2011.  Multi-Objective Evolutionary Optimization of Exemplar-Based Classifiers: A PNN Test Case. International Joint Conference on Neural Networks (IJCNN).
S
Smith, BO, Georgiopoulos M, Belkerdid M.  1991.  Comparison of BCH and convolutional codes in direct sequence spread spectrum multiple access packet radio networks. MILCOM 91.
Skarman, SE, Georgiopoulos M, Gonzalez AJ.  1998.  Short-term electrical load forecasting using a fuzzy ARTMAP neural network. Conference on Applications and Science of Computational Intelligence. :181-191.
Shorter, N, Kasparis T.  2006.  Fuzzy SART Clustering for 3D Reconstruction from Irregular LIDAR Data. 2.8:1122–1129.
Shorter, N, Kasparis T.  2006.  3D Reconstruction of Irregular Spaced LIDAR. Proceedings of the 6th WSEAS International Conference on Systems Theory and Scientific Computation.
Sentelle, C, Anagnostopoulos GC, Georgiopoulos M.  2009.  An efficient active set method for SVM training without singular inner problems. the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009).
Sentelle, C, Hong SL, Georgiopoulos M, Anagnostopoulos GC.  2007.  A Fuzzy Gap-statistic for Fuzzy C-Means. The 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007).
Sentelle, C, Hong SL, Anagnostopoulos GC, Georgiopoulos M.  2007.  A fuzzy gap statistic for Fuzzy C-Means. Proceedings of the 11th IASTED International Conference on Artificial.
Sentelle, C, G.C. Anagnostopoulos GM.  2009.  A Fast Revised Simplex Method for SVM Training. ICPR.
Sentelle, C, Georgiopoulos M, Anagnostopoulos GC, Young C.  2007.  On extending the SMO algorithm sub-problem. Proceedings of the International Joint Conference on Neural Networks (IJCNN).
Secretan, J, Georgiopoulos M, Anagnostopoulos GC, Tapia J, Chadha A, Huber B.  2005.  Parallelizing the Fuzzy ARTMAP Algorithm on a Beowulf Clusters. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2005). :475–480.
Secretan, J, Castro J, Chadha A, Huber B, Tapia J, Georgiopoulos M, Anagnostopoulos G, Richie S.  2005.  Pipelining of ART architectures (FAM, EAM, GAM) without match-tracking (MT). 2005 Artificial Neural Networks in Engineering.
Secretan, J, Georgiopoulos M, Castro J.  2007.  A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases.
Secretan, J, Koufakou A, Georgiopoulos M.  2009.  APHID: A practical architecture for high-performance, privacy preserving, data-mining. DMIN 2009.
Secretan, J, Koufakou A, Georgiopoulos M, Cardona K.  2010.  APHID: An architecture for private, high-performance integrated data-mining. Journal of Future Generation Computer Systems. 26:891-904.
Secretan, J, Lawson M, Boloni L.  2007.  Brokering Algorithms for Composing Low Cost Distributed Storage Resources.
Secretan, J, Georgiopoulos M, Maidhof I, Shibly P, Hecker J.  2006.  Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer.
R
Russel, I, Georgiopoulos M, Castro J, Neller T, McCracken D, Bouvier D.  2003.  Condensing the CC-2001 core in an Integrated Curriculum. CCSCNE (Consortium for Computing in Small Colleges in the Northeast).
Rui, X, Anagnostopoulos GC, II WD.  2007.  Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4.:65–77.
Reynolds, K, Kursun O, Eaglin R, Chen B, Georgiopoulos M.  2005.  Development of an Artificial Intelligent System for detection and visualization of auto theft recovery patterns. Computational Intelligence Conference on Homeland Security and Public Safety (CIHSPS, 2005).
Reynolds, K, Kursun O, Georgiopoulos M, Eaglin R.  2004.  Development of an Artificial Intelligence Clustering Algorithm to Detect Auto Theft Recovery Patterns. GIS Symposium 2004.
Reynolds, K, Wakchaure A, Kursun O, Georgiopoulos M, Reynolds K, Eaglin R.  2005.  Burglary data mining – A three tiered approach: Local state and nation-wide. the 2nd Annual GIS Symposium at TU.
Reeder, J, Miguez R, Sparks J, Georgiopoulos M, Anagnostopoulos GC.  2008.  Interactively Evolved Modular Neural Networks for Game Agent Control. IEEE Symposium on Computational Intelligence and Games (CIG 08. :167–174.
Reeder, J, Gita S, Georgiopoulos M, Anagnostopoulos GC.  2008.  Intelligent Trading Agents for Massively Multi-player Game Economies. Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference. :102–107.
Reeder, J, Georgiopoulos M, Castro J, Burns S, Anagnostopoulos G, Mollaghasemi M.  2005.  Hilbert Space Filling Curve Nearest Neighbor. The ISAS and CITSA 2005.
Ramirez-Padron, R, Foregger D, Manuel J, Georgiopoulos M, Mederos B.  2010.  Similarity Kernels for Nearest Neighbor-based Outlier Detection. Lecture Notes in Computer Science. 6065/2010:159-170.
Rabadi, G, Anagnostopoulos GC, Mollaghasemi M.  2007.  A heuristic algorithm for the just-in-time single machine scheduling problem with setups: A comparison with simulated annealing. 32:326–335.
Q
Quang, L, Anagnostopoulos G, Georgiopoulos M, Ports K.  2005.  An experimental comparison of semi-supervised ARTMAP architectures, GCS, and GNC Classifiers. 2005 International Joint Conference on Neural Networks.
P
Puklavage, C, Pirela A, Gonzalez AJ, Georgiopoulos M.  2010.  Imitating personalized expressions through an Avatar using Machine Learning. Proceedings of the 23rd International FLAIRS conference.
Papadourakis, GM, Heileman GL, Georgiopoulos M.  1989.  A parallel implementation of the Hopfield network on GAPP processors. Proceedings of the International Joint Conference on Neural Networks.
O
Owens, HT, Georgiopoulos M, Belkerdid M.  1989.  Performance of BCH and convolutional codes in direct sequence spread spectrum packet radio networks. MILCOM 89.
N
Nold, E, Tucker K, Long R, Georgiopoulos M.  1991.  Real-time unsupervised neural networks for non-implementable in natural noise A refutable hypothesis based on experiment. Proceedings of the International Joint Conference on Neural Networks (IJCNN).
M
Mollaghasemi, M, LeCroy K, Georgiopoulos M.  1996.  Applications of neural networks and simulation modeling in manufacturing system design. Southcon 96.
Mollaghasemi, M, LeCroy K, Georgiopoulos M.  1998.  Application of neural networks and simulation modeling in manufacturing system design. INTERFACES. 28:100-114.
Mollaghasemi, M, Georgiopoulos M, Cope D, Donnelly A, Steele M.  2004.  Educating Middle and High School Students in Space Operations. the 2004 Winter Simulation Conference.
Miwakeichi, F, Ramirez-Padron R, P. Valdes-Sosa OT.  2001.  A comparison of Non-linear Non-parametric Models for Epilepsy Data. Computers in Biology and Medicine. 31.1:41–57.
Miguez, R, Georgiopoulos M, Kaylani A.  2010.  A Genetically Engineered Probabilistic Neural Network. Nonlinear Analysis: Theory, Methods & Applications. 73:1783-1791.
Meyer-Base, A, Jancke K, Wissmuller A, Georgiopoulos M.  2004.  Fast K-dimensional tree-structured vector quantization encoding method for image compression. Optical Engineering Letters. 43:1012-1013.
Merakos, L, Georgiopoulos M.  1987.  Analysis of a multi-hop CDMA packet radio network. the 26th IEEE Conference on Decision and Control.
K
Kursun, O, Koufakou A, Chen B, Georgiopoulos M, Reynolds K, Eaglin R.  2006.  A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. IEEE Intelligence and Security Informatics (ISI) Conference. :72–82.
Kursun, O, Koufakou A, Wakchaure A, Georgiopoulos M, Reynolds K, Eaglin R.  2006.  Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary. International Journal on Artificial Intelligence Tools. 15.5:839–848.
Koufakou, A, Ortiz E, Georgiopoulos M, Anagnostopoulos GC, Reynolds K.  2007.  A Scalable and Efficient Outlier Detection Strategy for Categorical Data. International Conference on Tools with Artificial Intelligence (ICTAI).
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC, Kasparis T.  2001.  Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks. 14.9:1279-1291.
Koufakou, A, Wakchaure A, Kursun O, Georgiopoulos M, Reynolds K, Eaglin R.  2005.  Burglary data mining – A three tiered approach: Local satte and nation-wide. the 2nd Annual GIS Symposium at TU.
Koufakou, A, Secretan J, Georgiopoulos M.  2010.  Non-derivable itemsets for fast outlier detection in large high dimensional categorical data. Knowledge and Information Systems. :1-29.
Koufakou, A, Weihs N, Georgiopoulos M, Al-Daraiseh A.  2006.  Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP: The Category Proliferation problem. ANNIE 2006.
Koufakou, A, Secretan J, Reeder J, Cardona K, Georgiopoulos M.  2008.  Fast Parallel Outlier Detection for Categorical Datasets using MapReduce. IEEE World Congress on Computational Intelligence (WCCI).
Koufakou, A, Weihs N, Georgiopoulos M, Al-Daraiseh A.  2006.  Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP Classifiers - The Category Proliferation Problem. Evolutionary Programming,Complex Systems and Artificial Life also presented at the 2006 Artificial Neural Networks in Engineering (ANNIE). 16:695–704.
Koufakou, A, Ortiz E, Georgiopoulos M, Anagnostopoulos GC, Reynolds MK.  2007.  A scalable and efficient otlier detection strategy for categorical data. Annual IEE International Conference on Tools with Artificial Intelligence, 2007 (ICTAI 2007),.
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC.  2008.  Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. International Conference on Data Mining (DMIN 2008).
Koufakou, A, Georgiopoulos M.  2010.  A fast outlier detection strategy for distributed high dimensional datasets with mixed attributes. Data Mining and Knowledge Discovery. 20:259-289.
Klodzinski, J, Al-Daraiseh A, Georgiopoulos M, Al-Deek HM.  2004.  Development of a java applet for generating truck trips from freight data. Transportation Research Record No. 1870. :10–17.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2008.  MO-GART: Multi-Objective Optimization of ART Architectures. 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008).
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2010.  MO-GART: An adaptive multi-objective approach to evolving ART architectures. IEEE Transactions on Neural Networks. 21:529-550.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2008.  Efficient Evolution of ART Neural Networks. 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008).
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2010.  MO-GART: An adaptive multi-objective approach to evolving ART architectures. IEEE Transactions on Neural Networks. 21:529-550.
Kaylani, A, Al-Daraiseh A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Wu AS.  2007.  Genetic Optimization of ART Neural Network Architectures. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2007). :379–384.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC.  2007.  M-GFAM:An Elegant Approach to Genetically Optimize Fuzzy ARTMAP Neural Network Architectures. Proceedings of the 8th International Conference on Natural Computing (ICNC 2007),part of the 10th Joint Conference on Information Sciences (JCIS 2007). :1617-1623.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2009.  AG-ART: An Adaptive Method of Evolving ART Architectures. Neurocomputing. 72:2079-2092.
Kasparis, T, Charalampidis D, Georgiopoulos M, Rolland JP.  2001.  Segmentation of textured images based on fractals and image filtering. Pattern Recognition. 34.10:1963–1978.
Kasparis, T, Charalampidis D, Georgiopoulos M, Rolland JP.  2001.  Segmentation of textured images based on fractals and image filtering. Pattern Recognition. 34.10:1963–1973.
Kasparis, T, Georgiopoulos M, Payne E.  1991.  Non-linear filtering techniques for narrow-band interference rejection in direct sequence spread-spectrum systems. MILCOM 91.
J
Jr., WD, Liou JJ, Georgiopoulos M.  1993.  Circuit simulation of adaptive resonance (ART) neural networks using PSpice. International Journal of Electronics. 74:101-110.
Johnson, MJ, Mollaghasemi M, Georgiopoulos M, McGinnis M.  2001.  A methodology for human behavior modeling in computer generated forces. Industrial Engineering Research Conference 2001 (IERC 2001).