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ORCIDMichael E. Mavroforakis
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Books and Theses
- 2008
[b1]Michael E. Mavroforakis:
Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosis. National and Kapodistrian University of Athens, Greece, 2008
Journal Articles
- 2012
- [j8]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
The Augmented Complex Kernel LMS. IEEE Trans. Signal Process. 60(9): 4962-4967 (2012) - 2011
- [j7]Stylianos D. Tzikopoulos, Michael E. Mavroforakis, Harris V. Georgiou
, Nikos Dimitropoulos, Sergios Theodoridis:
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Comput. Methods Programs Biomed. 102(1): 47-63 (2011) - [j6]Pantelis Bouboulis, Michael E. Mavroforakis:
Reproducing Kernel Hilbert Spaces and fractal interpolation. J. Comput. Appl. Math. 235(12): 3425-3434 (2011) - 2007
- [j5]Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Dionisis A. Cavouras, Sergios Theodoridis:
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes. Artif. Intell. Medicine 41(1): 39-55 (2007) - [j4]Sergios Theodoridis, Michael E. Mavroforakis:
Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes]. IEEE Signal Process. Mag. 24(3): 119-122 (2007) - [j3]Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis:
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task. IEEE Trans. Neural Networks 18(5): 1545-1549 (2007) - 2006
- [j2]Michael E. Mavroforakis, Harris V. Georgiou, Nikos Dimitropoulos, Dionisis A. Cavouras, Sergios Theodoridis:
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artif. Intell. Medicine 37(2): 145-162 (2006) - [j1]Michael E. Mavroforakis, Sergios Theodoridis:
A geometric approach to Support Vector Machine (SVM) classification. IEEE Trans. Neural Networks 17(3): 671-682 (2006)
Conference and Workshop Papers
- 2022
- [c10]Michael E. Mavroforakis, Harris V. Georgiou:
Genetic profiling of olives for location of origin and variety discrimination using Machine Learning. IoTaIS 2022: 191-197 - 2011
- [c9]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
Widely linear kernel-based adaptive filters. EUSIPCO 2011: 941-945 - 2010
- [c8]Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis:
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques. ICANN (1) 2010: 251-260 - 2009
- [c7]Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis:
A fully automated scheme for breast density estimation and asymmetry detection of mammograms. EUSIPCO 2009: 1869-1873 - [c6]Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Sergios Theodoridis:
A fully automated complete segmentation scheme for mammograms. DPS 2009: 1-6 - 2006
- [c5]Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis:
A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers. ICANN (1) 2006: 284-292 - [c4]Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis:
A novel SVM Geometric Algorithm based on Reduced Convex Hulls. ICPR (2) 2006: 564-568 - 2005
- [c3]Michael E. Mavroforakis, Sergios Theodoridis:
Support Vector Machine (SVM) classification through geometry. EUSIPCO 2005: 1-4 - 2002
- [c2]Michael E. Mavroforakis, Harris V. Georgiou, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis:
Mammographic mass classification using textural features and descriptive diagnostic data. DSP 2002: 461-464 - [c1]Harris V. Georgiou, Michael E. Mavroforakis, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis:
Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features. DSP 2002: 465-468
Informal and Other Publications
- 2013
- [i2]Harris V. Georgiou, Michael E. Mavroforakis:
A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates. CoRR abs/1302.0540 (2013) - 2011
- [i1]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
The Augmented Complex Kernel LMS. CoRR abs/1110.1075 (2011)
Coauthor Index
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