关注
Georgios C. Anagnostopoulos
Georgios C. Anagnostopoulos
Associate Professor, Florida Institute of Technology
在 fit.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1622009
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
1182004
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
1092007
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
1072007
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
782000
Ellipsoid ART and ARTMAP for incremental clustering and classification
GC Anagnostopoulos, M Georgiopoulos
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
722001
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
552001
Cross-validation in Fuzzy ARTMAP for large databases
A Koufakou, M Georgiopoulos, G Anagnostopoulos, T Kasparis
Neural Networks 14 (9), 1279-1291, 2001
502001
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
GC Anagnostopoulos, M Georgiopoulos
Neural Networks 15 (10), 1205-1221, 2002
462002
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
442007
Novel approaches in adaptive resonance theory for machine learning
GC Anagnostopoulos
University of Central Florida, 2001
442001
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
422010
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
422003
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
382002
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
362002
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
312007
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
302005
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
272015
AG-ART: an adaptive approach to evolving ART architectures
A Kaylani, M Georgiopoulos, M Mollaghasemi, GC Anagnostopoulos
Neurocomputing 72 (10-12), 2079-2092, 2009
272009
Reduced-rank local distance metric learning
Y Huang, C Li, M Georgiopoulos, GC Anagnostopoulos
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
262013
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