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Michael Georgiopoulos

Affiliations: 
University of Central Florida, Orlando, FL, United States 
Area:
Artificial Intelligence, Computer Science
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"Michael Georgiopoulos"
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Georgios C. Anagnostopoulos grad student 2001 University of Central Florida
Jose Castro grad student 2004 University of Central Florida
Ahmad A. Al-Daraiseh grad student 2006 University of Central Florida
Mingyu Zhong grad student 2007 University of Central Florida
Anna Koufakou grad student 2009 University of Central Florida
Jimmy Secretan grad student 2009 University of Central Florida

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Publications

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Sedghi M, Atia G, Georgiopoulos M. (2019) Robust Manifold Learning via Conformity Pursuit Ieee Signal Processing Letters. 26: 425-429
Zhang T, Georgiopoulos M, Anagnostopoulos GC. (2017) Pareto-Optimal Model Selection via SPRINT-Race. Ieee Transactions On Cybernetics
Sentelle CG, Anagnostopoulos GC, Georgiopoulos M. (2016) A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. Ieee Transactions On Neural Networks and Learning Systems. 27: 709-22
Zhang T, Georgiopoulos M, Anagnostopoulos GC. (2015) Multi-Objective Model Selection via Racing. Ieee Transactions On Cybernetics
Li C, Georgiopoulos M, Anagnostopoulos GC. (2015) Pareto-path multitask multiple kernel learning. Ieee Transactions On Neural Networks and Learning Systems. 26: 51-61
Li C, Georgiopoulos M, Anagnostopoulos GC. (2015) Multitask Classification Hypothesis Space With Improved Generalization Bounds. Ieee Transactions On Neural Networks and Learning Systems. 26: 1468-79
Zhang T, Georgiopoulos M, Anagnostopoulos GC. (2015) SPRINT multi-objective model racing Gecco 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. 1383-1390
Yousefi N, Georgiopoulos M, Anagnostopoulos GC. (2015) Multi-task learning with group-specific feature space sharing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9285: 120-136
Zhang T, Georgiopoulos M, Anagnostopoulos GC. (2014) Online model racing based on extreme performance Gecco 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. 1351-1358
Li C, Georgiopoulos M, Anagnostopoulos GC. (2014) A unifying framework for typical multitask multiple kernel learning problems Ieee Transactions On Neural Networks and Learning Systems. 25: 1287-1297
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