Publications
]
"Learning in the Feed-Forward Random Neural Network: A Critical Review",
Performance Evaluation, vol. 68, pp. 361-384, April 2011.
"Accelerated Learning of Generalized Sammon Mappings",
International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 07/31-08/05, 2011.
"Kernel Principal Subspace Mahalanobis Distances for Outlier Detection",
International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 07/31-08/05, 2011.
"Multi-Objective Evolutionary Optimization of Exemplar-Based Classifiers: A PNN Test Case",
International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 07/31-08/05, 2011.
"Improving Student Learning in Calculus through Applications",
International Journal of Mathematical Education in Science and Technology, vol. 42, pp. 591-604, 2011.
"A Genetically Engineered Probabilistic Neural Network",
Nonlinear Analysis: Theory, Methods & Applications, vol. 73, pp. 1783-1791, September 2010.
"Learning in the Feed-Forward Random Neural Network: A Critical Review",
the 25th International Symposium on Computer and Information Sciences, London, UK, Sep22-24, 2010.
"Imitating personalized expressions through an Avatar using Machine Learning",
Proceedings of the 23rd International FLAIRS conference, May 2010.
"Similarity Kernels for Nearest Neighbor-based Outlier Detection",
Lecture Notes in Computer Science, vol. 6065/2010, pp. 159-170, May 2010.
"A fast outlier detection strategy for distributed high dimensional datasets with mixed attributes",
Data Mining and Knowledge Discovery, vol. 20, pp. 259-289, March 2010.
"APHID: An architecture for private, high-performance integrated data-mining",
Journal of Future Generation Computer Systems, vol. 26, pp. 891-904, July 2010.
"Non-derivable itemsets for fast outlier detection in large high dimensional categorical data",
Knowledge and Information Systems, pp. 1-29, Dec. 2010.
"Learning in the Feed-Forward Random Neural Network: A Critical Review",
Performance Evaluation, August 2010.
"MO-GART: An adaptive multi-objective approach to evolving ART architectures",
IEEE Transactions on Neural Networks, vol. 21, no. 4, pp. 529-550, April 2010.
"MO-GART: An adaptive multi-objective approach to evolving ART architectures",
IEEE Transactions on Neural Networks, vol. 21, no. 4, pp. 529-550, April, 2010.
"Influencing sense of community in a STEM living-learning community: An NSF STEP funded project",
Proceedings of the 2010 ASEE Conference and Exposition, 2010.
"A Sustainable Model for Integrating Current Topics in Machine Learning Research in the Undergraduate Curriculum",
IEEE Transactions on Education, vol. 52, no. 4, pp. 503-512, November 2009.
"An efficient active set method for SVM training without singular inner problems",
the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, June 14-19, 2009.
"APHID: A practical architecture for high-performance, privacy preserving, data-mining",
DMIN 2009, Las Vegas,NV, July 13-16, 2009.
"A Fast Revised Simplex Method for SVM Training",
ICPR, Tampa,Florida,USA, February, 2009.
"AG-ART: An Adaptive Method of Evolving ART Architectures",
Neurocomputing, vol. 72, no. 10-12, pp. 2079-2092, 2009.
"Intelligent Trading Agents for Massively Multi-player Game Economies",
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, Stanford,CA,USA, pp. 102–107, October, 2008.
"A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree’s performance",
21st Artificial Intelligence Research Symposium, Coconut Grove, FL, May 14-17, 2008.
"Classification of noisy patterns using ARTMAP-based neural networks",
Proceedings SPIE; Conference on Visual Information Processing IX, Orlando,FL, USA, pp. 2-13, May, 2008.
"Hierarchical ARTMAP",
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Como,Italy, pp. 41–46, May, 2008.