Publications

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

Alexander TC, Ahmed HS, Anagnostopoulos GC. An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. In: Human-Computer Interaction. Novel Interaction Methods and Techniques. Vol. 5611. Human-Computer Interaction. Novel Interaction Methods and Techniques. Springer Berlin / Heidelberg; 2009. pp. 123-130. Available from: http://dx.doi.org/10.1007/978-3-642-02577-8_14

Anagnostopoulos GC. SVM-based target recognition from synthetic aperture radar images using target region outline descriptors. Nonlinear Analysis: Theory, Methods & Applications [Internet]. 2009;71:e2934 - e2939. Available from: http://www.sciencedirect.com/science/article/pii/S0362546X09008918

Bakir T, Peter A, Riley R, Hackett J. Non-Negative Maximum Likelihood ICA for Blind Source Separation of Images and Signals with Application to Hyperspectral Image Subpixel Demixing. In: ICIP. ICIP. ; 2006. pp. 3237-3240.

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

Ho J, Peter AM, Rangarajan A, Yang M-H. An algebraic approach to affine registration of point sets. In: ICCV. ICCV. ; 2009. pp. 1335-1340.

Huang Y, Georgiopoulos M, Anagnostopoulos GC. Accelerated learning of Generalized Sammon Mappings. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. San Jose, California: IEEE-INNS-ENNS; 2011.

Iqbal NH, Anagnostopoulos GC. Multinomial Squared Direction Cosines Regression. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE-INNS-ENNS; 2011.

Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing [Internet]. 2009;72:2079 - 2092. Available from: http://www.sciencedirect.com/science/article/pii/S0925231208005432

Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. Efficient evolution of ART neural networksfile:///C:/Users/Georgio/Downloads/1332597citation.bib. In: Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on. Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on. ; 2008.

Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Sentelle C, Zhong M. An Adaptive Multiobjective Approach to Evolving ART Architectures. Neural Networks, IEEE Transactions on. 2010;21:529 -550.

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.

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.

Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel principal subspace Mahalanobis distances for outlier detection. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE-INNS-ENNS; 2011.

Li R, Mersch TR, Wen OX, Kaylani A, Anagnostopoulos GC. Multi-objective memetic evolution of ART-based classifiers. In: Evolutionary Computation (CEC), 2010 IEEE Congress on. Evolutionary Computation (CEC), 2010 IEEE Congress on. ; 2010.

Locke B, Peter AM. Multiwavelet Density Estimation. Applied Mathematics and Computation. Submitted;219(11).

Ma M, Gonet R, Yu RZ, Anagnostopoulos GC. Metric representations of data via the Kernel-based Sammon Mapping. In: Neural Networks (IJCNN), The 2010 International Joint Conference on. Neural Networks (IJCNN), The 2010 International Joint Conference on. ; 2010.

Moyou M, Peter A. Shape Analysis on the Hypersphere of Wavelet Densities. In: 21st International Conference on Pattern Recognition. 21st International Conference on Pattern Recognition. ; 2012.

Nicoli LP, Anagnostopoulos GC. Shape-based recognition of targets in synthetic aperture radar images using elliptical Fourier descriptors. In: Sadjadi FA, Mahalanobis A Proceedings of the SPIE: Automatic Target Recognition XVIII (Defense+Security 2008), Orlando, Florida, March 16-20, 2008. Proceedings of the SPIE: Automatic Target Recognition XVIII (Defense+Security 2008), Orlando, Florida, March 16-20, 2008. The International Society for Optical Engineering; 2008. Available from: http://dx.doi.org/10.1117/12.777806

Otero LD, Otero CE, Peter AM. Decision Framework for Capability Evaluations of Software Engineers Using Imprecise Parameters. In: GEM. GEM. ; 2010. pp. 139-145.

Peter AM, Rangarajan A. A New Closed-Form Information Metric for Shape Analysis. In: MICCAI (1). MICCAI (1). ; 2006. pp. 249-256.

Peter AM, Rangarajan A. Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation. IEEE Trans. Pattern Anal. Mach. Intell. 2009;31:337-350.

Peter AM, Michalak S. Making Wireless Networking Easier for Consumers. Intel Developer Update Magazine. 2001.

Peter AM, Rangarajan A. Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation. In: ISBI. ISBI. ; 2006. pp. 1164-1167.