Michael E. Mavroforakis

21 papers Journal 10Unranked 10

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Genetic profiling of olives for location of origin and variety discrimination using Machine Learning. IoTaIS Michael E. Mavroforakis, Harris V. Georgiou
2013	J	`jnl`	A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates CoRR Harris V. Georgiou, Michael E. Mavroforakis
2012	J	`jnl`	The Augmented Complex Kernel LMS. IEEE Trans. Signal Process. Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis
2011	J	`jnl`	A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Comput. Methods Programs Biomed. Stylianos D. Tzikopoulos, Michael E. Mavroforakis, Harris V. Georgiou, Nikos Dimitropoulos, Sergios Theodoridis
2011	J	`jnl`	Reproducing Kernel Hilbert Spaces and fractal interpolation. J. Comput. Appl. Math. Pantelis Bouboulis, Michael E. Mavroforakis
2011	J	`jnl`	The Augmented Complex Kernel LMS CoRR Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis
2011	—	`conf`	Widely linear kernel-based adaptive filters. EUSIPCO Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis
2010	—	`conf`	Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques. ICANN (1) Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis
2009	—	`conf`	A fully automated complete segmentation scheme for mammograms. DPS Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Sergios Theodoridis
2009	—	`conf`	A fully automated scheme for breast density estimation and asymmetry detection of mammograms. EUSIPCO Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis
2008	—	`—`	Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosis Michael E. Mavroforakis
2007	J	`jnl`	A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task. IEEE Trans. Neural Networks Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis
2007	J	`jnl`	Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes. Artif. Intell. Medicine Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Dionisis A. Cavouras, Sergios Theodoridis
2007	J	`jnl`	Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes]. IEEE Signal Process. Mag. Sergios Theodoridis, Michael E. Mavroforakis
2006	—	`conf`	A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers. ICANN (1) Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis
2006	J	`jnl`	A geometric approach to Support Vector Machine (SVM) classification. IEEE Trans. Neural Networks Michael E. Mavroforakis, Sergios Theodoridis
2006	—	`conf`	A novel SVM Geometric Algorithm based on Reduced Convex Hulls. ICPR (2) Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis
2006	J	`jnl`	Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artif. Intell. Medicine Michael E. Mavroforakis, Harris V. Georgiou, Nikos Dimitropoulos, Dionisis A. Cavouras, Sergios Theodoridis
2005	—	`conf`	Support Vector Machine (SVM) classification through geometry. EUSIPCO Michael E. Mavroforakis, Sergios Theodoridis
2002	—	`conf`	Mammographic mass classification using textural features and descriptive diagnostic data. DSP Michael E. Mavroforakis, Harris V. Georgiou, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis
2002	—	`conf`	Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features. DSP Harris V. Georgiou, Michael E. Mavroforakis, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis