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Filters: Author is Michael Georgiopoulos  [Clear All Filters]
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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.
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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.
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Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2013.  S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15) .
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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.
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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.
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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.
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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.  Multitask Classification Hypothesis Space With Improved Generalization Bounds. Neural Networks and Learning Systems, IEEE Transactions on. 26(7):1468-1479.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Objective Model Selection via Racing. Cybernetics, IEEE Transactions on. PP:1-1.
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) .
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Georgiopoulos M, Li C, Kocak T.  2011.  Learning in the Feed-forward Random Neural Network: A Critical Review. Perform. Eval.. 68:361–384.
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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).
Li C, Georgiopoulos M, Anagnostopoulos GC.  2011.  Kernel principal subspace Mahalanobis distances for outlier detection. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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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.
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Sentelle CG, Anagnostopoulos GC, Georgiopoulos M.  2011.  Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 22:1650-1661.
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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.
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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.
Huang Y, Georgiopoulos M, Anagnostopoulos GC.  2011.  Accelerated learning of Generalized Sammon Mappings. Neural Networks (IJCNN), The 2011 International Joint Conference on.

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