You are here

Home

Publications

Export 21 results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is A  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
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, 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.
G. C. Anagnostopoulos and Georgiopoulos, M., “Hypersphere ART and ARTMAP for Unsupervised and Supervised,Incremental Learning”, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 59–64, 2000.
G. C. Anagnostopoulos and Georgiopoulos, M., “Hypershere ART and ARTMAP for unsupervised and supervised incremental learning”, in the International Joint Conference on Neural Networks, Como, Italy, 2000.
G. C. Anagnostopoulos and Georgiopoulos, M., “New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning”, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 22–32, 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. 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.
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., “New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions”, IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001), pp. 32–37, 2001.
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. 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.
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.
G. C. Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., “Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP”, Neural Networks, pp. 2650–2655, 2002.
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.
G. C. Anagnostopoulos and Georgiopoulos, M., “Putting the utility of match tracking in Fuzzy ARTMAP training to the test”, pp. 1–6, 2003.
G. C. Anagnostopoulos, Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan, P. K., Wu, A., and Kysilka, M., “Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students”, in the ASEE 2005 Annual Conference and Exposition, Portland, Oregon, 2005.
G. C. Anagnostopoulos, Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan, P. K., Wu, A., and Kysilka, M., “Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students”, in 2006 ASEE, Chicago, Illinois, 2006.
A. Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Kaburlasos, V. G., “Genetically Engineered ART Architectures”, Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence, vol. 67, pp. 233–262, 2007.
A. Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Wu, A. S., Mollaghasemi, M., and Anagnostopoulos, G. C., “GFAM:Evolving Fuzzy ARTMAP Neural Networks”, vol. 20.8, pp. 874–892, 2007.
A. Al-Dairaseh, Georgiopoulos, M., Wu, A. S., Anagnostopoulos, G., and Mollaghasemi, M., “GFAM: A genetic algorithm optimization of Fuzzy ARTMAP”, in WCCI 2006 (Fuzzy Systems), Vancouver, Canada, 2006.
A. Al-Dairaiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Wu, A. S., and Anagnostopoulos, G., “GFAM Evolving Fuzzy ARTMAP Neural Networks”, Neural Networks journal, vol. 20, pp. 874-892, 2007.