Publications

Found 40 results
Author Title Type [ Year(Asc)]
Filters: Author is Anagnostopoulos, Georgios C.  [Clear All Filters]
2015
Huang Y, Georgiopoulos M, Anagnostopoulos GC. Hash Function Learning via Codewords. In: Machine Learning and Knowledge Discovery in Databases. Vol. 9284. Machine Learning and Knowledge Discovery in Databases. Springer International Publishing; 2015. pp. 659-674.
Li C, Georgiopoulos M, Anagnostopoulos GC. Multitask Classification Hypothesis Space With Improved Generalization Bounds. Neural Networks and Learning Systems, IEEE Transactions on. 2015 ;26(7):1468-1479.
Yousefi N, Georgiopoulos M, Anagnostopoulos GC. Multi-Task Learning with Group-Specific Feature Space Sharing. In: Machine Learning and Knowledge Discovery in Databases. Vol. 9285. Machine Learning and Knowledge Discovery in Databases. Springer International Publishing; 2015. pp. 120-136.
Li C, Georgiopoulos M, Anagnostopoulos GC. Pareto-Path Multitask Multiple Kernel Learning. Neural Networks and Learning Systems, IEEE Transactions on. 2015 ;26(1):51-61.
Zhang T, Georgiopoulos M, Anagnostopoulos GC. SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference [Internet]. 2015 :1383-1390. Available from: http://doi.acm.org/10.1145/2739480.2754791
2014
Li C, Georgiopoulos M, Anagnostopoulos GC. Conic Multi-task Classification. Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {II}. 2014 :193-208.
Khayrattee A, Anagnostopoulos GC. Derivative free optimization using a population-based stochastic gradient estimator. In: Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014. Vancouver, BC, Canada: Association for Computing Machinery (ACM); 2014.
Zhang T, Georgiopoulos M, Anagnostopoulos GC. Online model racing based on extreme performance. In: Genetic and Evolutionary Computation Conference, {GECCO} '14, Vancouver, BC, Canada, July 12-16, 2014. Genetic and Evolutionary Computation Conference, {GECCO} '14, Vancouver, BC, Canada, July 12-16, 2014. Vancouver, BC, Canada: Association for Computing Machinery (ACM); 2014.
Li C, Georgiopoulos M, Anagnostopoulos GC. A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. Neural Networks and Learning Systems, IEEE Transactions on. 2014 ;25(7):1287-1297.
2013
Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel-based Distance Metric Learning in the Output Space. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN). 2013 :1-8.
Huang Y, Georgiopoulos M, Anagnostopoulos GC. Reduced-Rank Local Distance Metric Learning. European Conference on Machine Learning (ECML). 2013 :224-239.
Zhang T, Georgiopoulos M, Anagnostopoulos GC. S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO). 2013 :1565-1572.
2011
Huang Y, Georgiopoulos M, Anagnostopoulos GC. Accelerated learning of Generalized Sammon Mappings. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. San Jose, California: IEEE-INNS-ENNS; 2011.
Sentelle C, Anagnostopoulos GC, Georgiopoulos M. Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 2011 ;22(10):1650-1661.
Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel principal subspace Mahalanobis distances for outlier detection. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE-INNS-ENNS; 2011.
Iqbal NH, Anagnostopoulos GC. Multinomial Squared Direction Cosines Regression. In: Neural Networks (IJCNN), The 2011 International Joint Conference on. Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE-INNS-ENNS; 2011.
2010
Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Sentelle C, Zhong M. An Adaptive Multiobjective Approach to Evolving ART Architectures. Neural Networks, IEEE Transactions on. 2010 ;21:529 -550.
Ma M, Gonet R, Yu RZ, Anagnostopoulos GC. Metric representations of data via the Kernel-based Sammon Mapping. In: Neural Networks (IJCNN), The 2010 International Joint Conference on. Neural Networks (IJCNN), The 2010 International Joint Conference on. ; 2010.
Li R, Mersch TR, Wen OX, Kaylani A, Anagnostopoulos GC. Multi-objective memetic evolution of ART-based classifiers. In: Evolutionary Computation (CEC), 2010 IEEE Congress on. Evolutionary Computation (CEC), 2010 IEEE Congress on. ; 2010.
2009
Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing [Internet]. 2009 ;72:2079 - 2092. Available from: http://www.sciencedirect.com/science/article/pii/S0925231208005432
Sentelle C, Anagnostopoulos GC, Georgiopoulos M. An efficient active set method for SVM training without singular inner problems. In: Neural Networks, 2009. IJCNN 2009. International Joint Conference on. Neural Networks, 2009. IJCNN 2009. International Joint Conference on. IEEE-INNS-ENNS; 2009.
Alexander TC, Ahmed HS, Anagnostopoulos GC. An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. In: Human-Computer Interaction. Novel Interaction Methods and Techniques. Vol. 5611. Human-Computer Interaction. Novel Interaction Methods and Techniques. Springer Berlin / Heidelberg; 2009. pp. 123-130. Available from: http://dx.doi.org/10.1007/978-3-642-02577-8_14
Koufakou A, Secretan J, Fox M, Gramajo G, Anagnostopoulos GC, Georgiopoulos M. Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. In: Stahlbock R, Crone SF, Lessmann S Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. CSREA Press; 2009.
Anagnostopoulos GC. SVM-based target recognition from synthetic aperture radar images using target region outline descriptors. Nonlinear Analysis: Theory, Methods & Applications [Internet]. 2009 ;71:e2934 - e2939. Available from: http://www.sciencedirect.com/science/article/pii/S0362546X09008918
2008
Koufakou A, Georgiopoulos M, Anagnostopoulos GC. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. In: Stahlbock R, Crone SF, Lessmann S Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. CSREA Press; 2008.

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