| 2004 |
| 10 | EE | George A. Rovithakis,
I. Chalkiadakis,
Michael E. Zervakis:
High-order neural network structure selection for function approximation applications using genetic algorithms.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(1): 150-158 (2004) |
| 2003 |
| 9 | EE | V. Kastrinaki,
Michael E. Zervakis,
Kostas Kalaitzakis:
A survey of video processing techniques for traffic applications.
Image Vision Comput. 21(4): 359-381 (2003) |
| 2002 |
| 8 | | Michael E. Zervakis,
Stefanos Goumas,
George A. Rovithakis:
A Bayesian image analysis framework for post placement quality inspection of components.
ICIP (2) 2002: 549-552 |
| 2001 |
| 7 | EE | I. Chalkiadakis,
George A. Rovithakis,
Michael E. Zervakis:
A structural genetic algorithm to optimize High Order Neural Network architecture.
ESANN 2001: 185-192 |
| 6 | EE | Michael E. Zervakis,
Vijay Sundararajan,
Keshab K. Parhi:
Vector processing of wavelet coefficients for robust image denoising.
Image Vision Comput. 19(7): 435-450 (2001) |
| 1997 |
| 5 | EE | Michael E. Zervakis,
Vijay Sundararajan,
Keshab K. Parhi:
A Wavelet-Domain Algorithm for Denoising in the Presence of Noise Outliers.
ICIP (1) 1997: 632-635 |
| 1995 |
| 4 | EE | Michael E. Zervakis,
Aggelos K. Katsaggelos,
Taek Mu Kwon:
A class of robust entropic functionals for image restoration.
IEEE Transactions on Image Processing 4(6): 752-773 (1995) |
| 3 | EE | Taek Mu Kwon,
Michael E. Zervakis,
Anastasios N. Venetsanopoulos:
Design and analysis of a class of self-organizing and trainable fuzzy controllers.
Journal of Intelligent and Robotic Systems 12(3): 301-315 (1995) |
| 1994 |
| 2 | | Michael E. Zervakis,
Taek Mu Kwon,
Andreas E. Savakis:
Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications.
ICIP (1) 1994: 56-60 |
| 1993 |
| 1 | | Michael E. Zervakis,
Taek Mu Kwon:
A generalized study of the weighted least-squares measure for the selection of the regularization parameter in inverse problems.
ISCAS 1993: 415-418 |