T.  Zhang, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Pareto Optimal Selection via SPRINT-Race?, IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 596-610, 2018.

C.  Sentelle, Anagnostopoulos, G. C., and M. Georgiopoulos, R. DeMara, ?A Simple Method for Solving the SVM Regularization Path for Semi-Definite Kernels?, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 4, pp. 709-722, 2016.

T.  Zhang, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Multi-Objective Model Selection via Racing?, IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1863-1876, 2015.

C.  Li, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Multi-Task Classification Hypothesis Space with Improved Generalization Bounds?, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1468-1479, 2015.

C.  Li, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Pareto-Path Multi-Task Multiple Kernel Learning?, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 1, pp. 51-61, 2015.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Conic Multi-Task Classification?, in ECML PKDD 2014, Nancy, France, September 15-19, 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Multi-Task Classification Hypothesis Space with Improved Generalization Bounds ?, IEEE Transactions on Neural Networks and Learning Systems, vol. accepted for publication (acceptance was communicated in July 2014), 2014.

T.  Zhang, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Online Model Racing Based on Extreme Performance?, in GECCO 2014, Vancouver, Canada, July 12-16, 2014, accepted for publication, 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Pareto-Path Multi-task Multiple Kernel Learning?, IEEE Transactions on Neural Networks and Learning Systems, vol. accepted for publication (acceptance was communicated in June 2014), 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?A Unifying Framework for Typical Multitask, Multiple Kernel Learning Problems?, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 7, pp. 1287-1297, 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Kernel-based Distance Metric Learning in the Output Space?, in International Joint Conference on Neural Networks (IJCNN), Dallas, TX, August 04-09, 2013.

Y.  Huang, Li, C., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Reduced Rank Local Distance Metric Learning?, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML and PKDD 2013), Prague, Czech Republic, September 23-27, 2013.

T.  Zhang, Georgiopoulos, M., and Anagnostopoulos, G. C., ?S-RACE: A Multi-objective Racing Algorithm?, GECCO 2013, Proceedings of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, the Netherlands, July 6-10, pp. 1565-1572, 2013.