Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features. - Harris V. Georgiou; Michael E. Mavroforakis; Dionisis A. Cavouras; Nikos Dimitropoulos; Sergios Theodoridis (DSP, 2002)

Mammographic mass classification using textural features and descriptive diagnostic data. - Michael E. Mavroforakis; Harris V. Georgiou; Dionisis A. Cavouras; Nikos Dimitropoulos; Sergios Theodoridis (DSP, 2002)

Support Vector Machine (SVM) classification through geometry. - Michael E. Mavroforakis; Sergios Theodoridis (EUSIPCO, 2005)

A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers. - Harris V. Georgiou; Michael E. Mavroforakis; Sergios Theodoridis (ICANN (1), 2006)

A novel SVM Geometric Algorithm based on Reduced Convex Hulls. - Michael E. Mavroforakis; Margaritis Sdralis; Sergios Theodoridis (ICPR (2), 2006)

Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. - Michael E. Mavroforakis; Harris V. Georgiou; Nikos Dimitropoulos; Dionisis A. Cavouras; Sergios Theodoridis (Artif. Intell. Medicine, 2006)

A geometric approach to Support Vector Machine (SVM) classification. - Michael E. Mavroforakis; Sergios Theodoridis (IEEE Trans. Neural Networks, 2006)

Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes. - Harris V. Georgiou; Michael E. Mavroforakis; Nikos Dimitropoulos; Dionisis A. Cavouras; Sergios Theodoridis (Artif. Intell. Medicine, 2007)

Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes]. - Sergios Theodoridis; Michael E. Mavroforakis (IEEE Signal Process. Mag., 2007)

A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task. - Michael E. Mavroforakis; Margaritis Sdralis; Sergios Theodoridis (IEEE Trans. Neural Networks, 2007)

Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosis - Michael E. Mavroforakis (2008)

A fully automated scheme for breast density estimation and asymmetry detection of mammograms. - Stylianos D. Tzikopoulos; Harris V. Georgiou; Michael E. Mavroforakis; Sergios Theodoridis (EUSIPCO, 2009)

A fully automated complete segmentation scheme for mammograms. - Stylianos D. Tzikopoulos; Harris V. Georgiou; Michael E. Mavroforakis; Nikos Dimitropoulos; Sergios Theodoridis (DPS, 2009)

Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques. - Stylianos D. Tzikopoulos; Harris V. Georgiou; Michael E. Mavroforakis; Sergios Theodoridis (ICANN (1), 2010)

Widely linear kernel-based adaptive filters. - Pantelis Bouboulis; Sergios Theodoridis; Michael E. Mavroforakis (EUSIPCO, 2011)

A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. - Stylianos D. Tzikopoulos; Michael E. Mavroforakis; Harris V. Georgiou; Nikos Dimitropoulos; Sergios Theodoridis (Comput. Methods Programs Biomed., 2011)

Reproducing Kernel Hilbert Spaces and fractal interpolation. - Pantelis Bouboulis; Michael E. Mavroforakis (J. Comput. Appl. Math., 2011)

The Augmented Complex Kernel LMS. - Pantelis Bouboulis; Sergios Theodoridis; Michael E. Mavroforakis (IEEE Trans. Signal Process., 2012)

A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates - Harris V. Georgiou; Michael E. Mavroforakis (CoRR, 2013)

Genetic profiling of olives for location of origin and variety discrimination using Machine Learning. - Michael E. Mavroforakis; Harris V. Georgiou (IoTaIS, 2022)