| 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 | 179 | 2009 |
| 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 | 125 | 2007 |
| 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 | 121 | 2004 |
| 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 | 117 | 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 | 82 | 2000 |
| Ellipsoid ART and ARTMAP for incremental clustering and classification GC Anagnostopoulos, M Georgiopoulos IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 77 | 2001 |
| Cross-validation in Fuzzy ARTMAP for large databases A Koufakou, M Georgiopoulos, G Anagnostopoulos, T Kasparis Neural Networks 14 (9), 1279-1291, 2001 | 53 | 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 | 53 | 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 | 46 | 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 | 45 | 2010 |
| Novel approaches in adaptive resonance theory for machine learning GC Anagnostopoulos University of Central Florida, 2001 | 44 | 2001 |
| Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP GC Anagnostopoulos, M Georgiopoulos Neural Networks 15 (10), 1205-1221, 2002 | 43 | 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 | 42 | 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 | 40 | 2002 |
| Advancing flood warning procedures in ungauged basins with machine learning Z Rasheed, A Aravamudan, AG Sefidmazgi, GC Anagnostopoulos, ... Journal of Hydrology 609, 127736, 2022 | 37 | 2022 |
| 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 | 35 | 2002 |
| 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 | 34 | 2018 |
| 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 | 33 | 2007 |
| 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 | 31 | 2015 |
| 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 | 31 | 2005 |
Michael GeorgiopoulosProfessor of ECE, University of Central FloridaVerified email at ucf.edu
