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Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
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.
D
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.
H
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.
K
Li C, Georgiopoulos M, Anagnostopoulos GC.  2011.  Kernel principal subspace Mahalanobis distances for outlier detection. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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).
M
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.
Iqbal NH, Anagnostopoulos GC.  2011.  Multinomial Squared Direction Cosines Regression. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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) .
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.
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.
O
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.
P
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.
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.
R
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.
S
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15) .
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2013.  S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).
U
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.
W
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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