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Dr. Michael Georgiopoulos

  • Email: michaelg, at symbol , ucf, dot symbol, edu
  • Office: Room 114, Harris Engineering Complex

Bio:

Michael Georgiopoulos is Dean of the College of Engineering and Computer Science at the University of Central Florida. His previous administrative posts have included Interim Dean and Interim Assistant Vice President of Research in the Office of Research and Commercialization. Dr. Georgiopoulos began his academic career at the University of Central Florida in 1986 with expertise in machine learning with special emphasis on neural network algorithms. In 2010, he was named a UCF Pegasus Professor, the most prestigious award accorded any UCF faculty member, presented in recognition of extraordinary contributions to the UCF community through teaching, research, and service. His research portfolio includes approximately $17 million as principal investigator or collaborator, and he has published and presented more than 250 papers in various professional journals and international conferences. He served as the Technical Co-Chair of the 2011 International Joint Conference on Neural Networks.

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Author Title Type [ Year(Asc)]
Filters: Author is Michael Georgiopoulos
2015
Huang Y, Georgiopoulos M, Anagnostopoulos GC.  2015.  Hash Function Learning via Codewords. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9284:659-674.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Objective Model Selection via Racing. Cybernetics, IEEE Transactions on. PP:1-1.
Li C, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multitask Classification Hypothesis Space With Improved Generalization Bounds. Neural Networks and Learning Systems, IEEE Transactions on. 26(7):1468-1479.
Yousefi N, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Task Learning with Group-Specific Feature Space Sharing. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9285:120-136.
Li C, Georgiopoulos M, Anagnostopoulos GC.  2015.  Pareto-Path Multitask Multiple Kernel Learning. Neural Networks and Learning Systems, IEEE Transactions on. 26(1):51-61.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15) .
2014
Li C, Georgiopoulos M, Anagnostopoulos GC.  2014.  Conic Multi-task Classification. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2014.  Online model racing based on extreme performance.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.
2013
Li C, Georgiopoulos M, Anagnostopoulos GC.  2013.  Kernel-based Distance Metric Learning in the Output Space. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN).
Huang Y, Li C, Georgiopoulos M, Anagnostopoulos GC.  2013.  Reduced-Rank Local Distance Metric Learning. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2013.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2013.  S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).
Li C, Georgiopoulos M, Anagnostopoulos GC.  2013.  A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. Neural Networks and Learning Systems, IEEE Transactions on. 25(7):1287-1297.
2012
Zhang T, Borrero G, Georgiopoulos M.  2012.  A Winner-take-all Methodology: Finding the Best Evolutionary Algorithm for the Global Optimization of Functions. Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation.
2011
Huang Y, Georgiopoulos M, Anagnostopoulos GC.  2011.  Accelerated learning of Generalized Sammon Mappings. Neural Networks (IJCNN), The 2011 International Joint Conference on.
Sentelle CG, Anagnostopoulos GC, Georgiopoulos M.  2011.  Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 22:1650-1661.
Li C, Georgiopoulos M, Anagnostopoulos GC.  2011.  Kernel principal subspace Mahalanobis distances for outlier detection. Neural Networks (IJCNN), The 2011 International Joint Conference on.
Georgiopoulos M, Li C, Kocak T.  2011.  Learning in the Feed-forward Random Neural Network: A Critical Review. Perform. Eval.. 68:361–384.
Rubio T, Zhang T, Georgiopoulos M, Kaylani A.  2011.  Multi-objective Evolutionary Optimization of Exemplar-based Classifiers: A PNN Test Case. The 2011 International Joint Conference on Neural Networks (IJCNN'11) .
2010
Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Sentelle C, Zhong M.  2010.  An Adaptive Multiobjective Approach to Evolving ART Architectures. Neural Networks, IEEE Transactions on. 21:529-550.

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