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Michael Mavroforakis
Michael Mavroforakis
Research Assistant Professor, University of Houston
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A geometric approach to support vector machine (SVM) classification
ME Mavroforakis, S Theodoridis
IEEE transactions on neural networks 17 (3), 671-682, 2006
4352006
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry
SD Tzikopoulos, ME Mavroforakis, HV Georgiou, N Dimitropoulos, ...
computer methods and programs in biomedicine 102 (1), 47-63, 2011
1722011
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers
ME Mavroforakis, HV Georgiou, N Dimitropoulos, D Cavouras, ...
Artificial intelligence in medicine 37 (2), 145-162, 2006
1502006
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes
H Georgiou, M Mavroforakis, N Dimitropoulos, D Cavouras, S Theodoridis
Artificial Intelligence in Medicine 41 (1), 39-55, 2007
692007
Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines
M Mavroforakis, H Georgiou, N Dimitropoulos, D Cavouras, S Theodoridis
European Journal of Radiology 54 (1), 80-89, 2005
622005
The augmented complex kernel LMS
P Bouboulis, S Theodoridis, M Mavroforakis
IEEE Transactions on Signal Processing 60 (9), 4962-4967, 2012
522012
A geometric nearest point algorithm for the efficient solution of the SVM classification task
ME Mavroforakis, M Sdralis, S Theodoridis
IEEE Transactions on Neural Networks 18 (5), 1545-1549, 2007
502007
Reduced convex hulls: a geometric approach to support vector machines [lecture notes]
S Theodoridis, M Mavroforakis
IEEE Signal Processing Magazine 24 (3), 119-122, 2007
312007
A novel SVM geometric algorithm based on reduced convex hulls
ME Mavroforakis, M Sdralis, S Theodoridis
18th International Conference on Pattern Recognition (ICPR'06) 2, 564-568, 2006
312006
Reproducing kernel Hilbert spaces and fractal interpolation
P Bouboulis, M Mavroforakis
Journal of Computational and Applied Mathematics 235 (12), 3425-3434, 2011
262011
Mammographic mass classification using textural features and descriptive diagnostic data
ME Mavroforakis, HV Georgiou, D Cavouras, N Dimitropoulos, ...
2002 14th International Conference on Digital Signal Processing Proceedings …, 2002
262002
Support Vector Machine (SVM) classification through geometry
ME Mavroforakis, S Theodoridis
2005 13th European Signal Processing Conference, 1-4, 2005
242005
A fully automated complete segmentation scheme for mammograms
S Tzikopoulos, H Georgiou, M Mavroforakis, N Dimitropoulos, ...
2009 16th international conference on digital signal processing, 1-6, 2009
142009
A game-theoretic approach to weighted majority voting for combining SVM classifiers
H Georgiou, M Mavroforakis, S Theodoridis
International Conference on Artificial Neural Networks, 284-292, 2006
122006
A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates
HV Georgiou, ME Mavroforakis
arXiv preprint arXiv:1302.0540, 2013
92013
A fully automated scheme for breast density estimation and asymmetry detection of mammograms
S Tzikopoulos, H Georgiou, M Mavroforakis, S Theodoridis
2009 17th European Signal Processing Conference, 1869-1873, 2009
82009
Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosis
ME Mavroforakis
National and Kapodistrian University of Athens, Greece, 2008
42008
Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features
HV Georgiou, ME Mavroforakis, D Cavouras, N Dimitropoulos, ...
2002 14th International Conference on Digital Signal Processing Proceedings …, 2002
42002
Widely linear kernel-based adaptive filters
P Bouboulis, S Theodoridis, M Mavroforakis
2011 19th European Signal Processing Conference, 941-945, 2011
32011
Shape-based tumor retrieval in mammograms using relevance-feedback techniques
SD Tzikopoulos, HV Georgiou, ME Mavroforakis, S Theodoridis
Artificial Neural Networks–ICANN 2010: 20th International Conference …, 2010
32010
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