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Dr. Georgios C. Anagnostopoulos

  • Email: georgio, at symbol , fit, dot symbol, edu
  • Office: Room 351, Harris Engineering Complex

Bio:

Anagnostopoulos is an associate professor of Electrical & Computer Engineering (ECE) at Florida Institute of Technology (FIT), faculty member of the Information Characterization & Exploitation (ICE) Laboratory at FIT and an affiliate faculty of the Machine Learning Laboratory (ML2) at UCF. 

He received his Diploma in Electrical Engineering from the University of Patras in Patras, Greece, in 1994 and his M.S. and Ph.D. degrees in Electrical Engineering from UCF in Orlando, Florida, in 1997 and 2001 respectively. 

He has held previous positions as a software engineer in the Information Technology department at Lucent Technologies/Agere Systems (1997-2001), as a visiting assistant professor in the Computer Science Department at UCF (2002), and as an assistant professor in his current department (2003-2008).

His research interests span the area of Machine Learning (ML) and include Artificial Neural Networks, Population-based Evolution of ML models, Support Vector Machines, other Kernel-based ML Methods, Outlier Detection and Data Visualization. His research outcomes have been featured in more than 80 conference papers (some of them invited), journal papers and book chapters. 

Finally, Dr. Anagnostopoulos is the recipient of the 2007 Kerry Bruce Clark Award for Excellence in Teaching at FIT and is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).

Export 1 results:
Author Title Type [ Year(Desc)]
Filters: Author is Georgios C. Anagnostopoulos
2015
Huang Y, Georgiopoulos M, Anagnostopoulos GC.  2015.  Hash Function Learning via Codewords. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9284:659-674.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Objective Model Selection via Racing. Cybernetics, IEEE Transactions on. PP:1-1.
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.
Yousefi N, Georgiopoulos M, Anagnostopoulos GC.  2015.  Multi-Task Learning with Group-Specific Feature Space Sharing. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9285:120-136.
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.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2015.  SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15) .
2014
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.
Khayrattee A, Anagnostopoulos GC.  2014.  Derivative free optimization using a population-based stochastic gradient estimator.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2014.  Online model racing based on extreme performance.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.
2013
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).
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.
Zhang T, Georgiopoulos M, Anagnostopoulos GC.  2013.  S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).
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.
2011
Huang Y, Georgiopoulos M, Anagnostopoulos GC.  2011.  Accelerated learning of Generalized Sammon Mappings. Neural Networks (IJCNN), The 2011 International Joint Conference on.
Sentelle CG, Anagnostopoulos GC, Georgiopoulos M.  2011.  Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 22:1650-1661.
Li C, Georgiopoulos M, Anagnostopoulos GC.  2011.  Kernel principal subspace Mahalanobis distances for outlier detection. Neural Networks (IJCNN), The 2011 International Joint Conference on.
Iqbal NH, Anagnostopoulos GC.  2011.  Multinomial Squared Direction Cosines Regression. Neural Networks (IJCNN), The 2011 International Joint Conference on.
2010
Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Sentelle C, Zhong M.  2010.  An Adaptive Multiobjective Approach to Evolving ART Architectures. Neural Networks, IEEE Transactions on. 21:529-550.
Ma M, Gonet R, Yu RZ, Anagnostopoulos GC.  2010.  Metric representations of data via the Kernel-based Sammon Mapping. Neural Networks (IJCNN), The 2010 International Joint Conference on.
Li R, Mersch TR, Wen OX, Kaylani A, Anagnostopoulos GC.  2010.  Multi-objective memetic evolution of ART-based classifiers. Evolutionary Computation (CEC), 2010 IEEE Congress on.

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