Michael E. Mavroforakis

According to our database, Michael E. Mavroforakis authored at least 20 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Genetic profiling of olives for location of origin and variety discrimination using Machine Learning.

Michael E. Mavroforakis, Harris V. Georgiou

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

2013

A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates

Harris V. Georgiou, Michael E. Mavroforakis

CoRR, 2013

2012

The Augmented Complex Kernel LMS.

Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis

IEEE Trans. Signal Process., 2012

2011

Reproducing Kernel Hilbert Spaces and fractal interpolation.

Pantelis Bouboulis, Michael E. Mavroforakis

J. Comput. Appl. Math., 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

Widely linear kernel-based adaptive filters.

Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis

Proceedings of the 19th European Signal Processing Conference, 2011

2010

Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques.

Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

A fully automated complete segmentation scheme for mammograms.

Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Nikos Dimitropoulos, Sergios Theodoridis

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

A fully automated scheme for breast density estimation and asymmetry detection of mammograms.

Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Geometric approach to statistical learning theory through support vector machines (SVM) with application to medical diagnosis

Michael E. Mavroforakis

PhD thesis, 2008

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

Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes].

Sergios Theodoridis, Michael E. Mavroforakis

IEEE Signal Process. Mag., 2007

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

2006

A geometric approach to Support Vector Machine (SVM) classification.

Michael E. Mavroforakis, Sergios Theodoridis

IEEE Trans. Neural Networks, 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 novel SVM Geometric Algorithm based on Reduced Convex Hulls.

Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers.

Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis

Proceedings of the Artificial Neural Networks, 2006

2005

Support Vector Machine (SVM) classification through geometry.

Michael E. Mavroforakis, Sergios Theodoridis

Proceedings of the 13th European Signal Processing Conference, 2005

2002

Mammographic mass classification using textural features and descriptive diagnostic data.

Michael E. Mavroforakis, Harris V. Georgiou, Dionisis A. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

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

Proceedings of the 14th International Conference on Digital Signal Processing, 2002