Michael E. Mavroforakis - researchr alias

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Viewing Publication 1 - 18 from 18

2022

Genetic profiling of olives for location of origin and variety discrimination using Machine LearningMichael E. Mavroforakis, Harris V. Georgiou. iotais 2022: 191-197 [doi]

2012

The Augmented Complex Kernel LMSPantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis. tsp, 60(9):4962-4967, 2012. [doi]

2011

Widely linear kernel-based adaptive filtersPantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis. eusipco 2011: 941-945 [doi]

A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetryStylianos D. Tzikopoulos, Michael E. Mavroforakis, Harris V. Georgiou, Nikos Dimitropoulos, Sergios Theodoridis. cmpb, 102(1):47-63, 2011. [doi]

2010

Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback TechniquesStylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis. icann 2010: 251-260 [doi]

2009

A fully automated scheme for breast density estimation and asymmetry detection of mammogramsStylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis. eusipco 2009: 1869-1873 [doi]

A fully automated complete segmentation scheme for mammogramsStylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Sergios Theodoridis. icdsp 2009: 1-6 [doi]

2008

Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosisMichael E. Mavroforakis. PhD thesis, National and Kapodistrian University of Athens, Greece, 2008. [doi]

2007

Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemesHarris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Dionisis Cavouras, Sergios Theodoridis. artmed, 41(1):39-55, 2007. [doi]

A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification TaskMichael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis. tnn, 18(5):1545-1549, 2007. [doi]

Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes]Sergios Theodoridis, Michael E. Mavroforakis. spm, 24(3):119-122, 2007. [doi]

2006

2005

Support Vector Machine (SVM) classification through geometryMichael E. Mavroforakis, Sergios Theodoridis. eusipco 2005: 1-4 [doi]

2002

Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet featuresHarris V. Georgiou, Michael E. Mavroforakis, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis. icdsp 2002: 465-468 [doi]

Mammographic mass classification using textural features and descriptive diagnostic dataMichael E. Mavroforakis, Harris V. Georgiou, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis. icdsp 2002: 461-464 [doi]

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