| 2007 |
|---|
| 6 | EE | Harris V. Georgiou,
Michael E. Mavroforakis,
Nikos Dimitropoulos,
Dionisis Cavouras,
Sergios Theodoridis:
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes.
Artificial Intelligence in Medicine 41(1): 39-55 (2007) |
| 5 | EE | Michael E. Mavroforakis,
Margaritis Sdralis,
Sergios Theodoridis:
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task.
IEEE Transactions on Neural Networks 18(5): 1545-1549 (2007) |
| 2006 |
|---|
| 4 | EE | 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 |
| 3 | EE | Michael E. Mavroforakis,
Margaritis Sdralis,
Sergios Theodoridis:
A novel SVM Geometric Algorithm based on Reduced Convex Hulls.
ICPR (2) 2006: 564-568 |
| 2 | EE | Michael E. Mavroforakis,
Harris V. Georgiou,
Nikos Dimitropoulos,
Dionisis Cavouras,
Sergios Theodoridis:
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
Artificial Intelligence in Medicine 37(2): 145-162 (2006) |
| 1 | EE | Michael E. Mavroforakis,
Sergios Theodoridis:
A geometric approach to Support Vector Machine (SVM) classification.
IEEE Transactions on Neural Networks 17(3): 671-682 (2006) |
