You are here

Publications

Export 54 results:
Author [ Title(Desc)] Type Year
Filters: Author is G.C. Anagnostopoulos  [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 
E
C. Sentelle, Anagnostopoulos, G. C., and Georgiopoulos, M., An efficient active set method for SVM training without singular inner problems, in the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, 2009.
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., 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. 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 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., 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, Bharadwaj, M., Georgiopoulos, M., Verzi, S., and Heileman, G., Exemplar-based pattern recognition via semi-supervised learning, Neural Networks, pp. 2782–2787, 2003.
M. Georgiopoulos, Anagnostopoulos, G. C., and Bharadwaj, M., Experimental comparisons of semi-supervised and supervised ART classifiers, in The 16th International Flairs Conference, St. Augustine, FL, 2003.
M. Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., Experiments with an Innovative Tree Pruning Algorithm, in IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Innsbruck, 2007.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., Experiments with Safe ARTMAP and Comparisons to Other ART Networks, Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2006), pp. 720–727, 2006.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., Experiments with Safe micro-ARTMAP: Effect of the Network Parameters on the Network Performance, Neural Networks, vol. 20.2, pp. 245–259, 2007.
C. Sentelle, Georgiopoulos, M., Anagnostopoulos, G. C., and Young, C., On extending the SMO algorithm sub-problem, Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2007.
G
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.
M. Zhong, Coggeshall, D., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks, Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks, pp. 1870–1877, 2006.
M. Zhong, Georgiopoulos, M., Anagnostopoulos, G. C., and Mollaghasemi, M., Generalized Entropy for Splitting Numerical Attributes in Decision Tree Classifiers, Proceedings of the 19th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (FLAIRS 2006), pp. 604–609, 2006.
A. Kaylani, Al-Daraiseh, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Wu, A. S., Genetic Optimization of ART Neural Network Architectures, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2007), pp. 379–384, 2007.
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.
I
J. Reeder, Gita, S., Georgiopoulos, M., and Anagnostopoulos, G. C., Intelligent Trading Agents for Massively Multi-player Game Economies, Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 102–107, 2008.
J. Reeder, Miguez, R., Sparks, J., Georgiopoulos, M., and Anagnostopoulos, G. C., Interactively Evolved Modular Neural Networks for Game Agent Control, IEEE Symposium on Computational Intelligence and Games (CIG 08, pp. 167–174, 2008.
M
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G. C., 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), pp. 1617-1623, 2007.
X. Rui, Anagnostopoulos, G. C., and II, W. D., Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4., pp. 65–77, 2007.
N
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., 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.
P
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.