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Gonzalez, AJ, DeMara RF, Georgiopoulos M.  1998.  Vehicle model generation and optimization for embedded simulation. Simulation Interoperability Workshop. :206–213.
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Bebis, G, Georgiopoulos M, da Lobo VN.  1998.  Using Self-Organizing Maps to Learn Geometric Hash Functions for Model-Based Object Recognition. IEEE Transactions on Neural Networks. 9.3:560–570.
Bebis, G, Georgiopoulos M, da Lobo VN.  1998.  Using self-organizing maps to learn geometric hash functions for model-based object recognition. IEEE Transactions on Neural Networks. 9:560-570.
Gonzalez, A, Georgiopoulos M, DeMara R.  2007.  Using context-based neural networks to maintain coherence in distributed simulations. The Journal of Defense Modeling and Simulation. 4:417-172.
Gonzalez, A, Georgiopoulos M, DeMara R.  2007.  Using Context-Based Neural Networks to Maintain Coherence Among Entities’ States in a Distributed Simulation. The Journal of Defense Modeling and Simulation. 4:147-172.
Bebis, G, Georgiopoulos M, Shah M, da Lobo VN.  1998.  Using Algebraic Functions of Views for Indexing-Based Object Recognition. International Conference on Computer Vision. :634–639.
Charalampidis, D, Kasparis T, Jones L, Georgiopoulos M.  2008.  Use of multifractals to detect anomalous propagation (AP) in weather radar. Proceedings SPIE; Conference on Signals and Data Processing of Small Targets. :13–22.
Charalampidis, D, Kasparis T, Jones WL, Georgiopoulos M.  2000.  Use of multi-fractals to detect anomalous propagation (AP) in weather data. Proceedings SPIE; Conference on Signals and Data Processing of Small Targets.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2003.  Universal approximation with Fuzzy ART and Fuzzy ARTMAP. Neural Networks. :1987–1992.
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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.
Charalampidis, D, Kasparis T, Georgiopoulos M.  1998.  Texture classification using ART-based neural networks and Fractals. SPIE Conference on Signal Processing,Sensor Fusion,and Target Recognition VII. :212–222.
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Georgiopoulos, M, DeMara RF, Gonzalez AJ, Wu AS, Mollaghasemi M, Gelenbe E, Kysilka M, Secretan J, Sharma CA, Alnsour AJ.  2009.  A Sustainable Model for Integrating Current Topics in Machine Learning Research in the Undergraduate Curriculum. IEEE Transactions on Education. 52:503-512.
Heileman, GL, Georgiopoulos M, Huang J.  1994.  A survey of learning results for ART1 networks. IEEE World Congress on Computational Intelligence.
Christodoulou, C, Georgiopoulos M.  2001.  Smart adaptive array antennas for wireless communcations. Proceedings of SPIE; Conference on Digital Wireless Communication III. :75–83.
Georgiopoulos, M, Spillers RM.  1988.  A simulation study of a limited sensing random access algorithm for a local area network with voice users. Proceedings Southeastcon.
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.
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.
Georgiopoulos, M, Skarman S, Gonzalez AJ.  1998.  Short-term electric load forecasting using a Fuzzy ARTMAP neural network. Conference on Applications and Science of Computational Intelligence.
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, Charalampidis D, Georgiopoulos M, Rolland JP.  2001.  Segmentation of textured images based on fractals and image filtering. Pattern Recognition. 34.10:1963–1978.
J. Park, W, Jones L, Charalampidis D, Kasparis T, Georgiopoulos M.  2001.  Sea-Ice extent classification using active/passive microwave measurements from QuickScat. AGU Spring meeting.
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, 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),.
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Anagnostopoulos, GC, Georgiopoulos M, Verzi S, Heileman G.  2002.  Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP. Neural Networks. :2650–2655.
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).
Bassiouni, M, Georgiopoulos M, Thompson J.  1989.  Real time simulation networking Network modeling and protocol alternatives. 11th Interservice / Industry Training Systems Conference.
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.
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.
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Anagnostopoulos, GC, Georgiopoulos M.  2003.  Putting the utility of match tracking in Fuzzy ARTMAP training to the test. :1–6.
Georgiopoulos, M, Dagher I, Heileman GL, Bebis G.  1999.  Properties of Learning of a Fuzzy ART Variant. Neural Networks. 12.6:837–850.
Huang, J, Georgiopoulos M, Heileman GL.  1994.  Properties of learning in fuzzy ART. IEEE World Congress on Computational Intelligence.
Georgiopoulos, M, Heileman GL, Huang J.  1991.  Properties of learning in ART1. Proceedings of the International Joint Conference on Neural Networks.
Georgiopoulos, M, Heileman GL, Huang J.  1991.  Properties of learning in ART1. Neural Networks. 4:751-758.
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2006.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. 2006 ASEE.
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2005.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. the ASEE 2005 Annual Conference and Exposition.
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.
Secretan, J, Georgiopoulos M, Castro J.  2007.  A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases.
Castro, J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos GC, Gonzalez A.  2007.  Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation. Neural Networks. 20.1:109–128.
Castro, J, Secretan J, Georgiopoulos M, DeMara RF, Anagnostopoulos G, Gonzalez A.  2004.  Pipelining of Fuzzy ARTMAP (FAM) without match-tracking. ANNIE 2004.
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.
Bassiouni, M, Georgiopoulos M, Chiu M.  1997.  Performance of standard and modified network protocols in a real-time application. 1997 International Performance, Computing and Communications Conference.
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.
Owens, HT, Georgiopoulos M, Belkerdid M.  1989.  Performance of BCH and convolutional codes in direct sequence spread spectrum packet radio networks. MILCOM 89.
Georgiopoulos, M.  1989.  Performance evaluation of frequency hopped receiver oriented spread spectrum packet radio networks. Proceedings of the International Conference on Communications.
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.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2004.  A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines.
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.
Castro, J, Georgiopoulos M, Secretan J, DeMara R, Anagnostopoulos GC, Gonzalez A.  2005.  Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach. Nonlinear Analysis: Theory,Methods and Applications. 63.5-7:e877–e889.
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.
Georgiopoulos, M.  1988.  Packet error probabilities in frequency hopped spread spectrum packet radio networks–Memoryless frequency hopping patterns considered. IEEE Trans. on Comm.. 36:720-724.
Georgiopoulos, M.  1987.  Packet error probabilities in frequency hopped spread spectrum packet radio networks–Memoryless frequency hopping patterns considered. the 26th IEEE Conference on Decision and Control.
Georgiopoulos, M.  1988.  Packet error probabilities in direct sequence spread spectrum packet radio networks with BCH codes. MILCOM 88.
Georgiopoulos, M.  1990.  Packet error probabilities in direct sequence spread spectrum packet radio networks. IEEE Trans. on Comm.. 38:1599-1606.
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Georgiopoulos, M, Koufakou A, Anagnostopoulos GC, Kasparis T.  2001.  Over-training in Fuzzy ARTMAP: Myth or Reality? Proceedings of the International Joint Conference on Neural Networks. :1186–1190.
Dagher, I, Georgiopoulos M, Heileman GL, Bebis G.  1998.  Ordered fuzzy ARTMAP: a fuzzy ARTMAP algorithm with a fixed order of pattern presentation. IEEE International Joint Conference on Neural Networks. :1717–1722.
Georgiopoulos, M, Fernlund H, Bebis G, Heileman G.  1996.  Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. Neural Networks. 9.9:1541-1559.
Georgiopoulos, M, Fernlund H, Bebis G, Heileman GL.  1996.  Order of Search in Fuzzy ART and Fuzzy ARTMAP: A geometrical interpretation. International Conference on Neural Networks (ICNN 1996).
Bebis, G, Georgiopoulos M.  1994.  Optimal feed-forward neural network architectures. IEEE Potentials. :27-31.
Vartak, A, Georgiopoulos M, Anagnostopoulos GC.  2005.  On-line Gaussae Newton-based learning for fully recurrent neural networks. Nonlinear Analysis. 63:e867–e876.
Henninger, A, Gonzalez A, Gerber W, Georgiopoulos M, DeMara R.  2000.  On the Fidelity of SAFs: Can performance data help? Proceedings of the 2000 Interservice/Industry Training,Simulation and Education Conference (I/ITSEC-2000). :147–154.
Georgiopoulos, M.  1989.  On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval Conference. MILCOM 89.
Georgiopoulos, M.  1991.  On the error probability of coded frequency hopped spread spectrum systems with codeword interleaving. MILCOM 91.
Georgiopoulos, M.  1990.  On the error probability of coded frequency hopped spread spectrum multiple access systems with more than one code symbols per dwell interval. IEEE Trans. on Comm.. 38:1321-1324.
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).
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.
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Zooghby, AH, Christodoulou CG, Georgiopoulos M.  1998.  A novel approach to adaptive nulling with neural networks. Southeastcon. :216–219.
Kasparis, T, Georgiopoulos M, Payne E.  1991.  Non-linear filtering techniques for narrow-band interference rejection in direct sequence spread-spectrum systems. MILCOM 91.
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.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning. Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV. :22–32.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions. IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001). :32–37.
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, 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, 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.
Christodoulou, CG, Zooghby EAH, Georgiopoulos M.  1999.  Neural network processing for adaptive array antennas. IEEE Antennas and Propagation Society International Symposium. :2584–2587.
Zooghby, EA, Christodoulou CG, Georgiopoulos M.  1998.  Neural Network based beamforming for interference cancellation. Conference on Applications and Science of Computational Intelligence. :420–429.
Heileman, GL, Papadourakis GM, Georgiopoulos M.  1990.  A neural network associative memory for real-time applications. Neural Computation. 2:107-115.
Zooghby, AE, Christodoulou CG, Georgiopoulos M.  1997.  Neural network approach for direction of arrival estimation. Proceedings SPIE; Conference of Applications and Science of.
Georgiopoulos, M, Heileman GL, Huang J.  1992.  The N-N-N conjecture in ART1 Conference. International Joint Conference on Neural Networks (IJCNN).
Georgiopoulos, M, Heileman GL, J. Huang.  1992.  The N-N-N conjecture in ART1. Neural Networks. 5:745-753.
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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.
Christodoulou, C, Georgiopoulos M, Zooghby EA.  2000.  Multiple Source Angle of Arrival Estimation using Neural-Network-based Smart Antennas. Proceedings SPIE; Conference on Digital Wireless Communications II. :94–99.
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.
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).
Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R.  2000.  Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach.
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.  2010.  MO-GART: An adaptive multi-objective approach to evolving ART architectures. IEEE Transactions on Neural Networks. 21:529-550.
Secretan, J, Georgiopoulos M, Maidhof I, Shibly P, Hecker J.  2006.  Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer.
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).
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.
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Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R.  2001.  The Limitations of Static Performance Metrics for Dynamic Tasks Learned Through Observation. Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation. :147–154.
Fernlund, HK, Gonzalez AJ, Georgiopoulos M, DeMara R.  2006.  Learning tactical human behavior through observation of human performance. Cybernetics–Part B: Cybernetics,Man,IEEE Transactions on Systems. 36.1:128–140.
Bebis, G, Georgiopoulos M, Bhatia S.  1997.  Learning orthographic transformations for object recognition. 1997 IEEE International Conference on Systems, Man, and Cybernetics.
Georgiopoulos, M, Li C, Kocak T.  2011.  Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation. 68:361-384.
Georgiopoulos, M, Li C, Kocak T.  2010.  Learning in the Feed-Forward Random Neural Network: A Critical Review. the 25th International Symposium on Computer and Information Sciences.
Georgiopoulos, M, Li C, Kocak T.  2010.  Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation.
Bebis, G, Georgiopoulos M, da Lobo VN.  1995.  Learning geometric hashing functions for model-based object recognition. Fifth International Conference on Computer Vision, ICCV-1995.
Bebis, G, Georgiopoulos M, da Lobo VN, Shah M.  1996.  Learning affine transformations of the plane for model-based object recognition. 13th International Conference on Pattern Recognition (ICPR-96).