☰

Georgios C. Anagnostopoulos, Ph.D.

Affiliations: 
2001 University of Central Florida, Orlando, FL, United States 
Area:
Computer Science, Electronics and Electrical Engineering, Artificial Intelligence
Google:
"Georgios Anagnostopoulos"
Tree Publications Similar researchers PubMed Report error

Parents

Sign in to add mentor
Michael Georgiopoulos grad student 2001 University of Central Florida
 (Novel approaches in adaptive resonance theory for machine learning.)

Children

Sign in to add trainee

Collaborators

Sign in to add collaborator
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
Li C, Georgiopoulos M, Anagnostopoulos GC. (2014) Conic multi-task classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8725: 193-208
See more...