Publications

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Journal Article

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, 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.

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, 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.

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.

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.

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.

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.

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.

Conference Paper

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2006. Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project. 2006 ASEE.

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2006. Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project.

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.

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

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.

Al-Dairaseh, A, Georgiopoulos M, Wu AS, Anagnostopoulos G, Mollaghasemi M. 2006. GFAM: A genetic algorithm optimization of Fuzzy ARTMAP. WCCI 2006 (Fuzzy Systems).

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.