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1991

Kasparis, T, Georgiopoulos M, Payne E. 1991. Non-linear filtering techniques for narrow-band interference rejection in direct sequence spread-spectrum systems. MILCOM 91.

1996

Bebis, G, Georgiopoulos M, Kasparis T. 1996. Coupling weight elimination and genetic algorithms. International Conference on Neural Networks (ICNN).

1997

Bebis, G, Georgiopoulos M, Kasparis T. 1997. Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing. :167–194.

1998

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.

1999

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.

2000

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.

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.

Charalampidis, D, Georgiopoulos M, Kasparis T. 2000. Classification of noisy signals using Fuzzy ARTMAP neural networks. the International Joint Conference on Neural Networks.

2001

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.

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.

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.

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, Georgiopoulos M, Anagnostopoulos GC, Kasparis T. 2001. Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks. 14.9:1279-1291.

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.

Chralampidis, D, Kasparis T, Georgiopoulos M. 2001. Classification of noisy signals using fuzzy ARTMAP neural networks. Neural Networks. 12.5:1023–1036.

2002

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.

2003

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.

2004

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.

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.

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.

2005

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2005. CRCD Experiences at the University of Central Florida: An NSF Project. the ASEE 2005 Annual Conference and Exposition.

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.

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).

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.

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.

2006

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.

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.

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.

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.

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, Weihs N, Georgiopoulos M, Al-Daraiseh A. 2006. Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP: The Category Proliferation problem. ANNIE 2006.

2007

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.

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.

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).

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.

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),.

2008

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, Georgiopoulos M, Anagnostopoulos GC. 2008. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. International Conference on Data Mining (DMIN 2008).

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. 2008. MO-GART: Multi-Objective Optimization of ART Architectures. 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008).

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.

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.

2009

Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G. 2009. AG-ART: An Adaptive Method of Evolving ART Architectures. Neurocomputing. 72:2079-2092.

Secretan, J, Koufakou A, Georgiopoulos M. 2009. APHID: A practical architecture for high-performance, privacy preserving, data-mining. DMIN 2009.

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.

2010

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.

Georgiopoulos, M, Li C, Kocak T. 2010. Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation.

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.

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.

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.

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.

Miguez, R, Georgiopoulos M, Kaylani A. 2010. A Genetically Engineered Probabilistic Neural Network. Nonlinear Analysis: Theory, Methods & Applications. 73:1783-1791.

2011

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).

Georgiopoulos, M, Li C, Kocak T. 2011. Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation. 68:361-384.