Publications

Koufakou A, Georgiopoulos M, Anagnostopoulos GC. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. In: Stahlbock R, Crone SF, Lessmann S Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. CSREA Press; 2008.

Reeder J, Sukthankar G, Georgiopoulos M, Anagnostopoulos GC. Intelligent Trading Agents for Massively Multi-player Game Economies. In: Darken C, Mateas M Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2008, October 22-24, 2008, Stanford, California, USA. Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2008, October 22-24, 2008, Stanford, California, USA. The AAAI Press; 2008. Available from: http://www.aaai.org/Library/AIIDE/2008/aiide08-017.php

Koufakou A, Secretan J, Fox M, Gramajo G, Anagnostopoulos GC, Georgiopoulos M. Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. In: Stahlbock R, Crone SF, Lessmann S Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. CSREA Press; 2009.

Sentelle C, Anagnostopoulos GC, Georgiopoulos M. Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 2011;22(10):1650-1661.

Zhong M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. Experiments with Safe $μ$ARTMAP : Effect of the network parameters on the network performance. Neural Networks [Internet]. 2007;20:245 - 259. Available from: http://www.sciencedirect.com/science/article/pii/S0893608006002589

Zhong M, Coggeshall D, Ghaneie E, Pope T, Rivera M, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Computation [Internet]. 2007;19:2840–2864. Available from: http://dx.doi.org/10.1162/neco.2007.19.10.2840

Al-Daraiseh A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G. GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks [Internet]. 2007;20:874 - 892. Available from: http://www.sciencedirect.com/science/article/pii/S0893608007000858

Zhong M, Georgiopoulos M, Anagnostopoulos G. A k-norm pruning algorithm for decision tree classifiers based on error rate estimation. Machine Learning. 2008;71:55-88.

Castro J, Georgiopoulos M, Secretan J, DeMara RF, Anagnostopoulos G, Gonzalez A. Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach. Nonlinear Analysis: Theory, Methods & Applications [Internet]. 2005;63:e877 - e889. Available from: http://www.sciencedirect.com/science/article/pii/S0362546X0500163X

Castro J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos G, Gonzalez A. Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks [Internet]. 2007;20:109 - 128. Available from: http://www.sciencedirect.com/science/article/pii/S0893608006002176