Publications

Sentelle CG.  2014.  Practical Implementations of the Active Set Method for Support Vector Machine Training with Semi-definite Kernels. Department of Electrical Engineering & Computer Science. Electrical Engineering:209.

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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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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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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.

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Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Objective Model Selection via Racing. Cybernetics, IEEE Transactions on. PP:1-1.

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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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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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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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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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Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2013.  S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).

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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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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.

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Li R, Mersch TR, Wen OX, Kaylani A, Anagnostopoulos GC.  2010.  Multi-objective memetic evolution of ART-based classifiers. Evolutionary Computation (CEC), 2010 IEEE Congress on.

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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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Iqbal NH, Anagnostopoulos GC.  2011.  Multinomial Squared Direction Cosines Regression. Neural Networks (IJCNN), The 2011 International Joint Conference on.

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Ma M, Gonet R, Yu RZ, Anagnostopoulos GC.  2010.  Metric representations of data via the Kernel-based Sammon Mapping. Neural Networks (IJCNN), The 2010 International Joint Conference on.

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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).

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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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Khayrattee A, Anagnostopoulos GC.  2014.  Derivative free optimization using a population-based stochastic gradient estimator.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.

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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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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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