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J. Castro, Georgiopoulos, M., Secretan, J., DeMara, R., Anagnostopoulos, G. C., and Gonzalez, A., Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach, Nonlinear Analysis: Theory,Methods and Applications, vol. 63.5-7, pp. e877–e889, 2005.
J. Secretan, Georgiopoulos, M., Anagnostopoulos, G. C., Tapia, J., Chadha, A., and Huber, B., Parallelizing the Fuzzy ARTMAP Algorithm on a Beowulf Clusters, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2005), pp. 475–480, 2005.
J. Castro, Secretan, J., Georgiopoulos, M., DeMara, R., Anagnostopoulos, G. C., and Gonzalez, A., Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation, Neural Networks, vol. 20.1, pp. 109–128, 2007.
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.
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 and Georgiopoulos, M., Putting the utility of match tracking in Fuzzy ARTMAP training to the test, pp. 1–6, 2003.