Multi-Task Classification Hypothesis Space with Improved Generalization Bounds - C. Li; M. Georgiopoulos,R. DeMara; G. C. Anagnostopoulos (IEEE Transactions on Neural Networks and Learning Systems, 2015)

Pareto-Path Multi-Task Multiple Kernel Learning - C. Li; M. Georgiopoulos,R. DeMara; G. C. Anagnostopoulos (IEEE Transactions on Neural Networks and Learning Systems, 2015)

Conic Multi-Task Classification - C. Li; M. Georgiopoulos; G. C. Anagnostopoulos (ECML PKDD 2014, 2014)

Multi-Task Classification Hypothesis Space with Improved Generalization Bounds - C. Li; M. Georgiopoulos; G. C. Anagnostopoulos (IEEE Transactions on Neural Networks and Learning Systems, 2014)

Pareto-Path Multi-task Multiple Kernel Learning - C. Li; M. Georgiopoulos; G. C. Anagnostopoulos (IEEE Transactions on Neural Networks and Learning Systems, 2014)

A Unifying Framework for Typical Multitask, Multiple Kernel Learning Problems - C. Li; M. Georgiopoulos; G. C. Anagnostopoulos (IEEE Transactions on Neural Networks and Learning Systems, 2014)

Kernel-based Distance Metric Learning in the Output Space - C. Li; M. Georgiopoulos; G. C. Anagnostopoulos (International Joint Conference on Neural Networks (IJCNN), 2013)

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

Learning in the Feed-Forward Random Neural Network: A Critical Review - M. Georgiopoulos; C. Li; T. Kocak (Performance Evaluation, 2011)

Learning in the Feed-Forward Random Neural Network: A Critical Review - M. Georgiopoulos; C. Li; T. Kocak (the 25th International Symposium on Computer and Information Sciences, 2010)

Learning in the Feed-Forward Random Neural Network: A Critical Review - M. Georgiopoulos; C. Li; T. Kocak (Performance Evaluation, 2010)