Publications

Export 230 results:
Sort by: Author Title [ Type (Desc)] Year
Filters: Author is M. Georgiopoulos  [Clear All Filters]
Journal Article
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.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2009.  AG-ART: An Adaptive Method of Evolving ART Architectures. Neurocomputing. 72:2079-2092.
Ho, CS, Liou JJ, Georgiopoulos M, Heileman GL, Christodoulou C.  1994.  Analog circuit design and implementation of an adaptive resonance theory (ART) neural network architecture. International Journal of Electronics. 76:271-291.
Castro, J, Georgiopoulos M, Secretan J.  2007.  Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. Proceedings of the International IEEE-INNS-ENNS Joint Conference on Neural Networks (IJCNN). :743–748.
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.
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.
Mollaghasemi, M, LeCroy K, Georgiopoulos M.  1998.  Application of neural networks and simulation modeling in manufacturing system design. INTERFACES. 28:100-114.
Gonzaleza, AJ, Georgiopoulos M, DeMara RF, Henninger A, Gerber W.  1998.  Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation. 7th Conference on Computer Generated Forces and Behavioral Representation.
Bebis, G, Papadourakis GM, Georgiopoulos M.  1989.  Back-Propagation: Increasing rate of convergence by predictable pattern loading. 1:14-30.
Henninger, A, Gerber W, DeMara R, Georgiopoulos M, Gonzalez A.  1998.  Behavior Modeling Framework for Embedded Simulation. Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98). :655–662.
Verzi, SJ, Heileman GL, Georgiopoulos M, Healy MJ.  1998.  Boosted ARTMAP. IEEE International Joint Conference on Neural Networks. :396–401.
Verzi, S, Heileman GL, Georgiopoulos M.  2006.  Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting Theory. Neural Networks. 19.4:446–468.
Anagnostopoulos, GC, Georgiopoulos M, Verzi S, Heileman G.  2002.  Boosted ellipsoid ARTMAP. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence. 4739:74–85.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks. 15.10:1205-1221.
Jr., WD, Liou JJ, Georgiopoulos M.  1993.  Circuit simulation of adaptive resonance (ART) neural networks using PSpice. International Journal of Electronics. 74:101-110.
Charalampidis, D, Anagnostopoulos GC, Kasparis T, Georgiopoulos M.  2008.  Classification of noisy patterns using ARTMAP-based neural networks. Proceedings SPIE; Conference on Visual Information Processing IX. :2-13.
Chralampidis, D, Kasparis T, Georgiopoulos M.  2001.  Classification of noisy signals using fuzzy ARTMAP neural networks. Neural Networks. 12.5:1023–1036.
Charalampidism, D, Georgiopoulos M, Kasparis T.  2000.  Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :53–58.
Georgiopoulos, M, Papantoni-Kazakos P.  1985.  Collision resolution algorithms utilizing absorptions and collision multiplicities. IEEE Trans. on Comm.. 33:pp.401-404.
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.
Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R.  2001.  A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts. Proceedings of the CONTEXT-01 Conference. :198–209.
Gonzalez, AJ, Gerber WJ, DeMara RF, Georgiopoulos M.  2004.  Context-driven Near-term Intention Recognition. Journal of Defense Modeling and Simulation. 1.3:153–170.
Georgiopoulos, M, Heileman GL, Huang J.  1990.  Convergence properties of learning in ART1. Neural Computation. 2:502-510.
Georgiopoulos, M.  1991.  Correction to ‘Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered’. IEEE Trans. on Comm.. 39:362-364.
Bebis, G, Georgiopoulos M, Kasparis T.  1997.  Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing. :167–194.
Georgiopoulos, M, Russell I, Castro J, Wu A, Kysilka M, DeMara R.  2003.  A CRCD Experience: Integrating machine learning modules into introductory engineering and science programming courses. Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition.
Georgiopoulos, M, Castro J, Gelenbe E, DeMara R, Gonzalez A, Kysilka M.  2004.  CRCD Experiences at the University of Central Florida: An NSF Project. Proceedings of the ASEE 2004 Annual Conference and Exposition.
Georgiopoulos, M, Castro J, Wu A, DeMara R, Gelenbe E, Gonzalez A.  2003.  CRCD in machine learning at the University of Central Florida preliminary experiences. Proceedings of the 8th annual conference on Innovation and Technology in Computer Science Education. :249.
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC, Kasparis T.  2001.  Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks. 14.9:1279-1291.
Georgiopoulos, M, Koufakou A, Anagnostopoulos GC, Kasparis T.  2001.  Cross-Validation in Fuzzy ARTMAP Neural Networks for Large Sample Classification Problems. Proceedings of SPIE; Applications and Science of Computational Intelligence IV.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2004.  A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve. :2367–2372.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2005.  Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18:967-984.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2005.  Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18.7:967–984.
Christodoulou, C, Huang J, Georgiopoulos M.  1995.  Design of gratings and frequency-selective surfaces using ARTMAP neural networks. Journal of Electromagnetic Waves and Applications. 9:17-36.
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC.  2008.  Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. International Conference on Data Mining (DMIN 2008).
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.
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.
Heileman, GL, Georgiopoulos M, Abdallah C.  1994.  A dynamical adaptive resonance architecture. IEEE Transactions on Neural Networks. 5:873-889.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  Ellipsoid ART and ARTMAP for incremental clustering and classification. Proceedings of the International Joint Conference on Neural Networks. :1221–1226.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  Ellipsoid ART and ARTMAP for incremental unsupervised and supervised Learning. Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV. :293–304.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V. 4739:62–73.
Anagnostopoulos, GC, Bharadwaj M, Georgiopoulos M, Verzi S, Heileman G.  2003.  Exemplar-based pattern recognition via semi-supervised learning. Neural Networks. :2782–2787.
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, 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.
Bebis, G, Uthiram S, Georgiopoulos M.  2000.  Face detection and verification using genetic search. International Jornal on Artificial Intelligence Tools. 9.2:225–245.
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.
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.
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).
Carr, K, Cannava K, Pescatore R, Georgiopoulos M, Anagnostopoulos GC.  2004.  Fast Stable and on-line training of Fuzzy ARTMAP using a novel,conservative,slow learning strategy. Neural Networks. :63–69.
Bebis, G, Deaconu T, Georgiopoulos M.  1999.  Fingerprint identification using Delaunay triangulation. IEEE International Conference on Information,Intelligence and Systems. :452–459.
Charalampidis, D, Anagnostopoulos GC, Georgiopoulos M, Kasparis T.  2002.  Fuzzy ART and ARTMAP with adaptive weighted distances. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V. 4739:86–97.
Huang, J, Georgiopoulos M, Heileman GL.  1995.  Fuzzy ART properties. Neural Networks. 8:203-213.
Charalampidis, D, Kasparis T, Georgiopoulos M, Rolland J.  1999.  A Fuzzy ARTMAP based classification of natural textures. Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society. :507–511.
Dagher, I, Georgiopoulos M, Heileman G, Bebis G.  1998.  Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm. International Joint Conference on Neural Networks. :1688–1693.
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.
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.
Heileman, GL, Georgiopoulos M, Roome WD.  1992.  A general framework for concurrent simulation on neural network models. IEEE Transactions on Software Engineering. 18:551-562.
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.
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.
Bebis, G, Uthiram S, Georgiopoulos M.  1999.  Genetic Search for Face Detection and Verification. IEEE International Conference on Information,Intelligence and Systems. :360–367.
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Kaburlasos VG.  2007.  Genetically Engineered ART Architectures. Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence. 67:233–262.
Miguez, R, Georgiopoulos M, Kaylani A.  2010.  A Genetically Engineered Probabilistic Neural Network. Nonlinear Analysis: Theory, Methods & Applications. 73:1783-1791.
Al-Dairaiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G.  2007.  GFAM Evolving Fuzzy ARTMAP Neural Networks. Neural Networks journal. 20:874-892.
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Wu AS, Mollaghasemi M, Anagnostopoulos GC.  2007.  GFAM:Evolving Fuzzy ARTMAP Neural Networks. 20.8:874–892.
Verzi, S, Heileman G, Georgiopoulos M, Healy M.  2008.  Hierarchical ARTMAP. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :41–46.
Anagnostopoulos, GC, Georgiopoulos M.  2000.  Hypersphere ART and ARTMAP for Unsupervised and Supervised,Incremental Learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :59–64.
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.
Bebis, G, Georgiopoulos M, Shah M, da Lobo VN.  1998.  Indexing Based on Algebraic Functions of Views. Computer Vision and Image Understanding. 72.3:360–378.
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, 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.
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, 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.
Bebis, G, Georgiopoulos M, da Lobo VN, Shah M.  1999.  Learning affine transformations. Pattern Recognition. 32.10:1783–1799.
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. Performance Evaluation.
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.
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.
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.
Secretan, J, Georgiopoulos M, Maidhof I, Shibly P, Hecker J.  2006.  Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer.
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.
Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R.  2000.  Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach.
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.
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.  1998.  Multiple sources neural network direction finding with arbitrary separations. IEEE-APS Conference on Antennas and Propagation for Wireless Communications. :57–60.
Georgiopoulos, M, Heileman GL, J. Huang.  1992.  The N-N-N conjecture in ART1. Neural Networks. 5:745-753.
Heileman, GL, Papadourakis GM, Georgiopoulos M.  1990.  A neural network associative memory for real-time applications. Neural Computation. 2:107-115.
Zooghby, EA, Christodoulou CG, Georgiopoulos M.  1998.  Neural Network based beamforming for interference cancellation. Conference on Applications and Science of Computational Intelligence. :420–429.
Christodoulou, CG, Zooghby EAH, Georgiopoulos M.  1999.  Neural network processing for adaptive array antennas. IEEE Antennas and Propagation Society International Symposium. :2584–2587.
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.
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.  1999.  A neural-network-based linearly constrained minimum variance beamformer. Microwave and Optical Technology Letters. 21.6:451–455.
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.
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.
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.
Zooghby, AH, Christodoulou CG, Georgiopoulos M.  1998.  A novel approach to adaptive nulling with neural networks. Southeastcon. :216–219.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2002.  Off-line structural risk minimization and BARTMAP-S. Neural Networks. :2533–2538.
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).
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.