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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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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.
M
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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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.
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.

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