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3
N. Shorter and Kasparis, T., “3D Reconstruction of Irregular Spaced LIDAR”, Proceedings of the 6th WSEAS International Conference on Systems Theory and Scientific Computation, 2006.
A
Y.Huang, M. Georgiopoulos, R. DeMara,, and G.C. Anagnostopoulos, M. Georgiopoulos, “Accelerated Learning of Generalized Sammon Mappings”, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Adaptive interference cancellation in circular arrays with radialbasis function neural networks”, IEEE Antennas and Propagation Society International Symposium, 1998.
A. H. E. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Adaptive interference cancellation with neural networks”, in 1998 Virginia Tech Symposium on Wireless Personal Communications, 1998.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., “AG-ART: An Adaptive Method of Evolving ART Architectures”, Neurocomputing, vol. 72, pp. 2079-2092, 2009.
G. Bebis, Georgiopoulos, M., Shah, M., and da Lobo, V. N., “Algebraic functions of views for indexing-based object recognition”, in Proceedings of the Sixth International Conference, India, 1998.
C. S. Ho, Liou, J. J., Georgiopoulos, M., Heileman, G. L., and Christodoulou, C., “Analog circuit design and implementation of an adaptive resonance theory (ART) neural network architecture”, International Journal of Electronics, vol. 76, pp. 271-291, 1994.
L. Merakos and Georgiopoulos, M., “Analysis of a multi-hop CDMA packet radio network”, in the 26th IEEE Conference on Decision and Control, Los Angeles, California, 1987.
M. Georgiopoulos, Huang, J., and Heileman, G. L., “Analysis of the ARTMAP neural network architecture”, in the 1994 World Congress on Neural Networks (WCNN),Mathematical Foundations Session, San Diego, CA, 1994.
M. Georgiopoulos and Heileman, G. L., “The analysis of the augmented ART1 neural network”, in Proceedings of the International Joint Conference on Neural Networks, Singapore, 1991.
M. Bassiouni, Georgiopoulos, M., and Thompson, J., “Analytical and simulation models for real time networks”, in Proceedings of the 21st Annual Pittsburgh Conference, University of Pittsburgh, School of Engineering, Pittsburgh, Pasadena, 1990.
J. Castro, Georgiopoulos, M., and Secretan, J., “Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory”, Proceedings of the International IEEE-INNS-ENNS Joint Conference on Neural Networks (IJCNN), pp. 743–748, 2007.
O. Kursun, Koufakou, A., Wakchaure, A., Georgiopoulos, M., Reynolds, K., and Eaglin, R., “Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary”, International Journal on Artificial Intelligence Tools, vol. 15.5, pp. 839–848, 2006.
J. Secretan, Koufakou, A., and Georgiopoulos, M., “APHID: A practical architecture for high-performance, privacy preserving, data-mining”, in DMIN 2009, Las Vegas,NV, 2009.
J. Secretan, Koufakou, A., Georgiopoulos, M., and Cardona, K., “APHID: An architecture for private, high-performance integrated data-mining”, Journal of Future Generation Computer Systems, vol. 26, pp. 891-904, 2010.
J. W. House, Abdallah, C., Heileman, G. L., and Georgiopoulos, M., “An application of gradient-like dynamics to neural networks”, in Southcon 1994, Orlando, FL, 1994.
M. Mollaghasemi, LeCroy, K., and Georgiopoulos, M., “Application of neural networks and simulation modeling in manufacturing system design”, INTERFACES, vol. 28, pp. 100-114, 1998.
M. Gul, Catbas, F. N., and Georgiopoulos, M., “Application of Pattern Recognition Techniques to Identify Structural Change in a Laboratory Specimen”, in he SPIE Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring Conference, San Diego, CA, 2007.
C. Christodoulou, Huang, J., Georgiopoulos, M., and Liou, J. J., “Application of the ARTMAP neural network in the design of cascaded gratings and frequency selective surfaces”, in International IEEE Antennas and Propagation Symposium, Seattle, 1994.
M. Mollaghasemi, LeCroy, K., and Georgiopoulos, M., “Applications of neural networks and simulation modeling in manufacturing system design”, in Southcon 96, 1996.
C. Christodoulou and Georgiopoulos, M., Applications of Neural Networks in Electromagnetics. Artech House, 2001, p. 512.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., “Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project”, in 2006 ASEE, Chicago, Illinois, 2006.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., “Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project”, 2006.
G. L. Heileman and Georgiopoulos, M., “The augmented ART1 neural network”, in Proceedings of the International Joint Conference on Neural Networks (IJCNN), Seattle, Washington, 1991.
A. J. Gonzaleza, Georgiopoulos, M., DeMara, R. F., Henninger, A., and Gerber, W., “Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation”, 7th Conference on Computer Generated Forces and Behavioral Representation, 1998.
B
G. Bebis, Papadourakis, G. M., and Georgiopoulos, M., “Back-Propagation: Increasing rate of convergence by predictable pattern loading”, vol. 1, pp. 14-30, 1989.
J. R. Beck, Garcia, M. E., Zhong, M., Georgiopoulos, M., and Anagnostopoulos, G. C., “A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree’s performance”, in 21st Artificial Intelligence Research Symposium, Coconut Grove, FL, 2008.
A. Henninger, Gerber, W., DeMara, R., Georgiopoulos, M., and Gonzalez, A., “Behavior Modeling Framework for Embedded Simulation”, Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98), pp. 655–662, 1998.
S. J. Verzi, Heileman, G. L., Georgiopoulos, M., and Healy, M. J., “Boosted ARTMAP”, IEEE International Joint Conference on Neural Networks, pp. 396–401, 1998.
S. Verzi, Heileman, G. L., and Georgiopoulos, M., “Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting Theory”, Neural Networks, vol. 19.4, pp. 446–468, 2006.
G. C. Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., “Boosted ellipsoid ARTMAP”, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence, vol. 4739, pp. 74–85, 2002.
J. Secretan, Lawson, M., and Boloni, L., “Brokering Algorithms for Composing Low Cost Distributed Storage Resources”, 2007.
A. Koufakou, Wakchaure, A., Kursun, O., Georgiopoulos, M., Reynolds, K., and Eaglin, R., “Burglary data mining – A three tiered approach: Local satte and nation-wide”, in the 2nd Annual GIS Symposium at TU, Troy, Alabama, 2005.
K. Reynolds, Wakchaure, A., Kursun, O., Georgiopoulos, M., Reynolds, K., and Eaglin, R., “Burglary data mining – A three tiered approach: Local state and nation-wide”, in the 2nd Annual GIS Symposium at TU, Troy, Alabama, 2005.
C
G. C. Anagnostopoulos and Georgiopoulos, M., “Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP”, Neural Networks, vol. 15.10, pp. 1205-1221, 2002.
W. D. Jr., Liou, J. J., and Georgiopoulos, M., “Circuit simulation of adaptive resonance (ART) neural networks using PSpice”, International Journal of Electronics, vol. 74, pp. 101-110, 1993.
D. Charalampidis, Anagnostopoulos, G. C., Kasparis, T., and Georgiopoulos, M., “Classification of noisy patterns using ARTMAP-based neural networks”, Proceedings SPIE; Conference on Visual Information Processing IX, pp. 2-13, 2008.
D. Chralampidis, Kasparis, T., and Georgiopoulos, M., “Classification of noisy signals using fuzzy ARTMAP neural networks”, Neural Networks, vol. 12.5, pp. 1023–1036, 2001.
D. Charalampidis, Georgiopoulos, M., and Kasparis, T., “Classification of noisy signals using Fuzzy ARTMAP neural networks”, in the International Joint Conference on Neural Networks, Como, Italy, 2000.
D. Charalampidism, Georgiopoulos, M., and Kasparis, T., “Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks”, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 53–58, 2000.
M. Georgiopoulos and Papantoni-Kazakos, P., “Collision resolution algorithms utilizing absorptions and collision multiplicities”, IEEE Trans. on Comm., vol. 33, pp. pp. 401-404, 1985.
M. Georgiopoulos and Papantoni-Kazakos, P., “Collision resolution protocols utilizing absorptions and collision multiplicities”, in Abstracts of the 1983 International Symposium on Information Theory, St. Jovite, Canada, 1983.
B. O. Smith, Georgiopoulos, M., and Belkerdid, M., “Comparison of BCH and convolutional codes in direct sequence spread spectrum multiple access packet radio networks”, in MILCOM 91, McLean, Virginia, 1991.
F. Miwakeichi, Ramirez-Padron, R., and P. Valdes-Sosa, O. T., “A comparison of Non-linear Non-parametric Models for Epilepsy Data”, Computers in Biology and Medicine, vol. 31.1, pp. 41–57, 2001.
A. Koufakou, Weihs, N., Georgiopoulos, M., and Al-Daraiseh, A., “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), vol. 16, pp. 695–704, 2006.
A. Koufakou, Weihs, N., Georgiopoulos, M., and Al-Daraiseh, A., “Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP: The Category Proliferation problem”, in ANNIE 2006, St. Louis, Missouri, 2006.
I. Russel, Georgiopoulos, M., Castro, J., Neller, T., McCracken, D., and Bouvier, D., “Condensing the CC-2001 core in an Integrated Curriculum”, in CCSCNE (Consortium for Computing in Small Colleges in the Northeast), Providence, RI, 2003.
C. Li, Georgiopoulos, M., and Anagnostopoulos, G. C., “Conic Multi-Task Classification”, in ECML PKDD 2014, Nancy, France, September 15-19, 2014.
A. Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., “A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts”, Proceedings of the CONTEXT-01 Conference, pp. 198–209, 2001.
A. J. Gonzalez, Gerber, W. J., DeMara, R. F., and Georgiopoulos, M., “Context-driven Near-term Intention Recognition”, Journal of Defense Modeling and Simulation, vol. 1.3, pp. 153–170, 2004.
M. Georgiopoulos, Heileman, G. L., and Huang, J., “Convergence properties of learning in ART1”, Neural Computation, vol. 2, pp. 502-510, 1990.
M. Georgiopoulos, “Correction to ‘Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered’”, IEEE Trans. on Comm., vol. 39, pp. 362-364, 1991.
G. Bebis, Georgiopoulos, M., and Kasparis, T., “Coupling weight elimination and genetic algorithms”, in International Conference on Neural Networks (ICNN), Washington, DC, 1996.
G. Bebis, Georgiopoulos, M., and Kasparis, T., “Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization”, Neurocomputing, pp. 167–194, 1997.
M. Georgiopoulos, Russell, I., Castro, J., Wu, A., Kysilka, M., and DeMara, R., “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, 2003.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Kysilka, M., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., “CRCD Experiences at the University of Central Florida: An NSF Project”, in the ASEE 2005 Annual Conference and Exposition, Portland Oregon, 2005.
M. Georgiopoulos, Castro, J., Gelenbe, E., DeMara, R., Gonzalez, A., and Kysilka, M., “CRCD Experiences at the University of Central Florida: An NSF Project”, Proceedings of the ASEE 2004 Annual Conference and Exposition, 2004.
M. Georgiopoulos, Castro, J., Wu, A., DeMara, R., Gelenbe, E., and Gonzalez, A., “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, p. 249, 2003.
A. Koufakou, Georgiopoulos, M., Anagnostopoulos, G. C., and Kasparis, T., “Cross-validation in Fuzzy ARTMAP for large databases”, Neural Networks, vol. 14.9, pp. 1279-1291, 2001.
M. Georgiopoulos, Koufakou, A., Anagnostopoulos, G. C., and Kasparis, T., “Cross-Validation in Fuzzy ARTMAP Neural Networks for Large Sample Classification Problems”, Proceedings of SPIE; Applications and Science of Computational Intelligence IV, 2001.
D
J. Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., “A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve”, pp. 2367–2372, 2004.
J. Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., “Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems”, Neural Networks, vol. 18, pp. 967-984, 2005.
J. Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., “Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems”, Neural Networks, vol. 18.7, pp. 967–984, 2005.
C. S. Ho, Liou, J. J., and Georgiopoulos, M., “Design and simulation of analog circuits for adaptive resonance theory (ART) neural networks”, in Symposium on Semiconductor Theory and Simulation, Taipei, Taiwan, 1993.
C. Christodoulou, Huang, J., Georgiopoulos, M., and Liou, J. J., “Design of gratings and frequency selective surfaces using Fuzzy ARTMAP neural networks”, in Proceedings SPIE, Orlando, FL, 1994.
C. Christodoulou, Huang, J., and Georgiopoulos, M., “Design of gratings and frequency-selective surfaces using ARTMAP neural networks”, Journal of Electromagnetic Waves and Applications, vol. 9, pp. 17-36, 1995.
A. Koufakou, Georgiopoulos, M., and Anagnostopoulos, G. C., “Detecting Outliers in High-Dimensional Datasets with Mixed Attributes”, International Conference on Data Mining (DMIN 2008), 2008.
J. Klodzinski, Al-Daraiseh, A., Georgiopoulos, M., and Al-Deek, H. M., “Development of a java applet for generating truck trips from freight data”, Transportation Research Record No. 1870, pp. 10–17, 2004.
K. Reynolds, Kursun, O., Georgiopoulos, M., and Eaglin, R., “Development of an Artificial Intelligence Clustering Algorithm to Detect Auto Theft Recovery Patterns”, in GIS Symposium 2004, Troy, AL, 2004.
K. Reynolds, Kursun, O., Eaglin, R., Chen, B., and Georgiopoulos, M., “Development of an Artificial Intelligent System for detection and visualization of auto theft recovery patterns”, in Computational Intelligence Conference on Homeland Security and Public Safety (CIHSPS, 2005), Orlando, FL, 2005.
O. Kursun, Koufakou, A., Chen, B., Georgiopoulos, M., Reynolds, K., and Eaglin, R., “A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases”, IEEE Intelligence and Security Informatics (ISI) Conference, pp. 72–82, 2006.
G. L. Heileman, Georgiopoulos, M., and Abdallah, C., “A dynamical adaptive resonance architecture”, IEEE Transactions on Neural Networks, vol. 5, pp. 873-889, 1994.
E
M. Mollaghasemi, Georgiopoulos, M., Cope, D., Donnelly, A., and Steele, M., “Educating Middle and High School Students in Space Operations”, in the 2004 Winter Simulation Conference, Washington, DC, 2004.
C. Sentelle, Anagnostopoulos, G. C., and Georgiopoulos, M., “An efficient active set method for SVM training without singular inner problems”, in the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, 2009.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., “Efficient Evolution of ART Neural Networks”, in 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), 2008.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART and ARTMAP for incremental clustering and classification”, Proceedings of the International Joint Conference on Neural Networks, pp. 1221–1226, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART and ARTMAP for incremental unsupervised and supervised Learning”, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 293–304, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions”, in Conference on Applications and Science of Computational Intelligence V, Orlando, FL, 2002.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions”, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V, vol. 4739, pp. 62–73, 2002.
G. Anagnostopoulos and Georgiopoulos, M., “Ellipsoidal ART and ARTMAP for incremental unsupervised and supervised learning”, in Conference on Applications and Science of Computational Intelligence IV, Orlando, FL, 2001.
L. Massi, Lancey, P., Nair, U., Straney, R., Georgiopoulos, M., and Young, C., “Engineering and Computer Science Community College Transfers and Native Freshmen Students: Relationships Among Participation in Extra-Curricular and Co-Curricular Activities, Connecting to the University Campus, and Academic Success”, in Frontiers in Education Conference, Seattle, WA, October 3-6, 2012.
G. C. Anagnostopoulos, Georgiopoulos, M., Nickerson, D., and Bebis, G., “Ensembles of hybrid intelligent experts”, in 1997 IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, 1997.
T. J. Frederick, Belkerdid, M., and Georgiopoulos, M., “Error control coding for meteor burst channels”, in MILCOM 91, McLean, Virginia, 1991.
M. Georgiopoulos, “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., vol. 38, pp. 1321-1324, 1990.
M. Georgiopoulos, “On the error probability of coded frequency hopped spread spectrum systems with codeword interleaving”, in MILCOM 91, McLean, Virginia, 1991.
M. Georgiopoulos, “On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval Conference”, in MILCOM 89, Boston, Massachusetts, 1989.
G. C. Anagnostopoulos, Bharadwaj, M., Georgiopoulos, M., Verzi, S., and Heileman, G., “Exemplar-based pattern recognition via semi-supervised learning”, Neural Networks, pp. 2782–2787, 2003.
L. Quang, Anagnostopoulos, G., Georgiopoulos, M., and Ports, K., “An experimental comparison of semi-supervised ARTMAP architectures, GCS, and GNC Classifiers”, in 2005 International Joint Conference on Neural Networks, Montreal, Quebec, 2005.
M. Georgiopoulos, Anagnostopoulos, G. C., and Bharadwaj, M., “Experimental comparisons of semi-supervised and supervised ART classifiers”, in The 16th International Flairs Conference, St. Augustine, FL, 2003.
M. Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., “Experiments with an Innovative Tree Pruning Algorithm”, in IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Innsbruck, 2007.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G., Mollaghasemi, M., and Richie, S., “Experiments with Micro-ARTMAP: Effect of the Network Parameters on the Network Performance”, in 2005 Artificial Neural Networks in Engineerin, St. Louis, MI, 2005.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., “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), pp. 720–727, 2006.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., “Experiments with Safe micro-ARTMAP: Effect of the Network Parameters on the Network Performance”, Neural Networks, vol. 20.2, pp. 245–259, 2007.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G., Mollaghasemi, M., and Richie, S., “Experiments with Safe Micro-ARTMAP: Effect of the Network Parameters on the Network Performance”, in WCCI 2006, Vancouver, Canada, 2006.
C. Sentelle, Georgiopoulos, M., Anagnostopoulos, G. C., and Young, C., “On extending the SMO algorithm sub-problem”, Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2007.
F
G. Bebis, Uthiram, S., and Georgiopoulos, M., “Face detection and verification using genetic search”, International Jornal on Artificial Intelligence Tools, vol. 9.2, pp. 225–245, 2000.
A. Meyer-Base, Jancke, K., Wissmuller, A., and Georgiopoulos, M., “Fast K-dimensional tree-structured vector quantization encoding method for image compression”, Optical Engineering Letters, vol. 43, pp. 1012-1013, 2004.
A. Koufakou and Georgiopoulos, M., “A fast outlier detection strategy for distributed high dimensional datasets with mixed attributes”, Data Mining and Knowledge Discovery, vol. 20, pp. 259-289, 2010.
A. Koufakou, Secretan, J., Reeder, J., Cardona, K., and Georgiopoulos, M., “Fast Parallel Outlier Detection for Categorical Datasets using MapReduce”, IEEE World Congress on Computational Intelligence (WCCI), 2008.
C. Sentelle and G.C. Anagnostopoulos, G. M., “A Fast Revised Simplex Method for SVM Training”, ICPR, 2009.

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