Michael E. Zervakis

Publication Activity (10 Years)

Years Active: 1986-2022
Publications (10 Years): 3

Top Topics

Active Contours

Cardiac Ultrasound Images

Heuristic Solution

Top Venues

Comput. Networks

Publications

Nikolaos G. Bourbakis, Kostas Michalopoulos, Marios Antonakakis, Michael E. Zervakis
A New Multi-Resolution Approach to EEG Brain Modeling Using Local-Global Graphs and Stochastic Petri-Nets. Int. J. Neural Syst. 32 (5) (2022)
Anastasios Lytos, Thomas Lagkas, Panagiotis G. Sarigiannidis, Michael E. Zervakis, George Livanos
Towards smart farming: Systems, frameworks and exploitation of multiple sources. Comput. Networks 172 (2020)
Giorgos Kakamoukas, Panayiotis Sariciannidis, Georgios Livanos, Michael E. Zervakis, Dimitris Ramnalis, Vasilis Polychronos, Thomi Karamitsou, A. Folinas, N. Tsitsiokas
A Multi-collective, IoT-enabled, Adaptive Smart Farming Architecture. IST (2019)
Athanasios N. Papadopoulos, Kostas M. Tsiouris, Ioannis G. Pappas, Michael E. Zervakis, Dimitrios D. Koutsouris, Themis P. Exarchos, Dimitrios I. Fotiadis
Design and implementation of processes for the primary care in the healthcare system of Greece. BIBE (2015)
Christos Stentoumis, Georgios Livanos, Anastasios D. Doulamis, Eftychios Protopapadakis, Lazaros Grammatikopoulos, Michael E. Zervakis
Precise 3D Reconstruction of Cultural Objects Using Combined Multi-component Image Matching and Active Contours Segmentation. ISVC (2) (2013)
K. D. Kalantzaki, Ekaterini S. Bei, Konstantinos P. Exarchos, Michael E. Zervakis, Dimitrios I. Fotiadis, Minos N. Garofalakis
Indentification of altered MET network in oral cancer progression based on nonparametric network design. EMBC (2013)
T. Vigdideli, Ekaterini S. Bei, Michael E. Zervakis, Dimitris Kafetzopoulos
Influence of algorithmic parameters on marker selection in genomic datasets. BIBE (2012)
Michail G. Kounelakis, Ioannis N. Dimou, Michael E. Zervakis, Ioannis Tsougos, Evangelia E. Tsolaki, Evanthia Kousi, Eftychia E. Kapsalaki, Kyriaki Theodorou
Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification. IEEE Trans. Inf. Technol. Biomed. 15 (4) (2011)
Michael E. Zervakis, Stefanos Goumas, George A. Rovithakis
A Bayesian framework for multilead SMD post-placement quality inspection. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
George A. Rovithakis, I. Chalkiadakis, Michael E. Zervakis
High-order neural network structure selection for function approximation applications using genetic algorithms. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
V. Kastrinaki, Michael E. Zervakis, Kostas Kalaitzakis
A survey of video processing techniques for traffic applications. Image Vis. Comput. 21 (4) (2003)
Michael E. Zervakis, Stefanos Goumas, George A. Rovithakis
A Bayesian image analysis framework for post placement quality inspection of components. ICIP (2) (2002)
Stefanos Goumas, Michael E. Zervakis, George S. Stavrakakis
Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction. IEEE Trans. Instrum. Meas. 51 (3) (2002)
Michael E. Zervakis, Vijay Sundararajan, Keshab K. Parhi
Vector processing of wavelet coefficients for robust image denoising. Image Vis. Comput. 19 (7) (2001)
George A. Rovithakis, Michail Maniadakis, Michael E. Zervakis, George Filippidis, Giannis Zacharakis, Asterios N. Katsamouris, Theodore G. Papazoglou
Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. IEEE Trans. Biomed. Eng. 48 (10) (2001)
I. Chalkiadakis, George A. Rovithakis, Michael E. Zervakis
A structural genetic algorithm to optimize High Order Neural Network architecture. ESANN (2001)
George A. Rovithakis, Argyris D. Matamis, Michael E. Zervakis
Controlling QoS at the application level for multimedia applications using artificial neural networks: Experimental results. EUSIPCO (2000)
Michael E. Zervakis, Vijay Sundararajan, Keshab K. Parhi
A Wavelet-Domain Algorithm for Denoising in the Presence of Noise Outliers. ICIP (1) (1997)
Michael E. Zervakis, Aggelos K. Katsaggelos, Taek Mu Kwon
A class of robust entropic functionals for image restoration. IEEE Trans. Image Process. 4 (6) (1995)
Taek Mu Kwon, Michael E. Zervakis
KWTA networks and their applications. Multidimens. Syst. Signal Process. 6 (4) (1995)
Taek Mu Kwon, Michael E. Zervakis, Anastasios N. Venetsanopoulos
Design and analysis of a class of self-organizing and trainable fuzzy controllers. J. Intell. Robotic Syst. 12 (3) (1995)
Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis
Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. ICIP (1) (1994)
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)
Michael E. Zervakis, Taek Mu Kwon
On the application of robust functionals in regularized image restoration. ICASSP (5) (1993)
Michael E. Zervakis, Anastasios N. Venetsanopoulos
Iterative least squares estimators in nonlinear image restoration. IEEE Trans. Signal Process. 40 (4) (1992)
Michael E. Zervakis
Optimal restoration of multichannel images based on constrained mean-square estimation. J. Vis. Commun. Image Represent. 3 (4) (1992)
Michael E. Zervakis, Anastasios N. Venetsanopoulos
Design of 3-D IIR filters via transformations of 2-D circularly symmetric rotated filters. ICASSP (1986)