C.  Puklavage, Pirela, A., Gonzalez, A. J., and Georgiopoulos, M., ?Imitating personalized expressions through an Avatar using Machine Learning?, in Proceedings of the 23rd International FLAIRS conference, 2010.

M.  Zhong, Coggeshall, D., Ghaneie, E. G., Pope, T., Rivera, M. A., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Gap-Based Estimation: Choosing the smoothing parameters for Probabilistic and General Regression Neural Networks?, in WCCI 2006, Vancouver, Canada, 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 2006 ASEE, Chicago, Illinois, 2006.

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.

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.

K.  Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G., ?Fast Stable and on-line training of Fuzzy ARTMAP using a novel, conservative, slow learning strategy?, in ANNIE 2004 conference, St. Louis, MI, 2004.

K.  Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Fast Stable and on-line training of Fuzzy ARTMAP using a novel,conservative,slow learning strategy?, Neural Networks, pp. 63?69, 2004.

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.

G.  Bebis, Papadourakis, G. M., Georgiopoulos, M., and Heileman, G. L., ?Increasing classification accuracy using multiple-neural-network schemes?, in Proceedings of the 1992 SPIE Conference (Technical Program on Intelligent Information Systems), Orlando, FL, 1992.

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

G. L.  Heileman, Papadourakis, G. M., and Georgiopoulos, M., ?A neural network associative memory for real-time applications?, Neural Computation, vol. 2, pp. 107-115, 1990.

G.  Bebis, Papadourakis, G. M., and Georgiopoulos, M., ?Back-Propagation: Increasing rate of convergence by predictable pattern loading?, vol. 1, pp. 14-30, 1989.

G. M.  Papadourakis, Heileman, G. L., and Georgiopoulos, M., ?A parallel implementation of the Hopfield network on GAPP processors?, in Proceedings of the International Joint Conference on Neural Networks, Washington, DC, 1989.

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.