Georgios C. Anagnostopoulos
Georgios C. Anagnostopoulos
Associate Professor, Florida Institute of Technology
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Zitiert von
Zitiert von
SVM-based target recognition from synthetic aperture radar images using target region outline descriptors
GC Anagnostopoulos
Nonlinear Analysis: Theory, Methods & Applications 71 (12), e2934-e2939, 2009
A branch-and-bound algorithm for the early/tardy machine scheduling problem with a common due-date and sequence-dependent setup time
G Rabadi, M Mollaghasemi, GC Anagnostopoulos
Computers & Operations Research 31 (10), 1727-1751, 2004
A scalable and efficient outlier detection strategy for categorical data
A Koufakou, EG Ortiz, M Georgiopoulos, GC Anagnostopoulos, ...
19th IEEE International Conference on Tools with Artificial Intelligence …, 2007
Multiclass cancer classification using semisupervised ellipsoid ARTMAP and particle swarm optimization with gene expression data
R Xu, GC Anagnostopoulos, DC Wunsch
IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (1), 65-77, 2007
Hypersphere ART and ARTMAP for unsupervised and supervised, incremental learning
GC Anagnostopoulos, M Georgiopulos
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
Ellipsoid ART and ARTMAP for incremental clustering and classification
GC Anagnostopoulos, M Georgiopoulos
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
Cross-validation in Fuzzy ARTMAP for large databases
A Koufakou, M Georgiopoulos, G Anagnostopoulos, T Kasparis
Neural Networks 14 (9), 1279-1291, 2001
Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning
GC Anagnostopoulos, M Georgiopoulos
Applications and Science of Computational Intelligence IV 4390, 293-304, 2001
A grid based system for data mining using MapReduce
K Cardona, J Secretan, M Georgiopoulos, G Anagnostopoulos
Seventh IEEE International Conference on Grid Computing, 33, 2007
An adaptive multiobjective approach to evolving ART architectures
A Kaylani, M Georgiopoulos, M Mollaghasemi, GC Anagnostopoulos, ...
IEEE Transactions on Neural Networks 21 (4), 529-550, 2010
Novel approaches in adaptive resonance theory for machine learning
GC Anagnostopoulos
University of Central Florida, 2001
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
GC Anagnostopoulos, M Georgiopoulos
Neural Networks 15 (10), 1205-1221, 2002
Exemplar-based pattern recognition via semi-supervised learning
GC Anagnostopoulos, M Bharadwaj, M Georgiopoulos, SJ Verzi, ...
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
A simulated annealing algorithm for the unrelated parallel machine scheduling problem
GC Anagnostopoulos, G Rabadi
Proceedings of the 5th Biannual world automation congress 14, 115-120, 2002
Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP
GC Anagnostopoulos, M Georgiopoulos, SJ Verzi, GL Heileman
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings
N da Vitoria Lobo, T Kasparis, M Georgiopoulos, F Roli, J Kwok, ...
Springer, 2008
A simple method for solving the SVM regularization path for semidefinite kernels
CG Sentelle, GC Anagnostopoulos, M Georgiopoulos
IEEE transactions on neural networks and learning systems 27 (4), 709-722, 2015
Gap-based estimation: Choosing the smoothing parameters for probabilistic and general regression neural networks
M Zhong, D Coggeshall, E Ghaneie, T Pope, M Rivera, M Georgiopoulos, ...
Neural computation 19 (10), 2840-2864, 2007
Evaluation of two modeling methods for generating heavy-truck trips at an intermodal facility by using vessel freight data
P Sarvareddy, H Al-Deek, J Klodzinski, G Anagnostopoulos
Transportation research record 1906 (1), 113-120, 2005
Local rademacher complexity-based learning guarantees for multi-task learning
N Yousefi, Y Lei, M Kloft, M Mollaghasemi, GC Anagnostopoulos
Journal of Machine Learning Research 19 (38), 1-47, 2018
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