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George A. Papakostas
George A. Papakostas
Professor, MLV RG, Department of Computer Science, Democritus University of Thrace
Verified email at cs.ihu.gr - Homepage
Title
Cited by
Cited by
Year
Machine vision systems in precision agriculture for crop farming
E Mavridou, E Vrochidou, GA Papakostas, T Pachidis, VG Kaburlasos
Journal of Imaging 5 (12), 89, 2019
2452019
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view
GA Papakostas, AG Hatzimichailidis, VG Kaburlasos
Pattern Recognition Letters 34 (14), 1609-1622, 2013
2222013
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems
AG Hatzimichailidis, GA Papakostas, VG Kaburlasos
International journal of intelligent systems 27 (4), 396-409, 2012
1762012
Fuzzy cognitive maps for pattern recognition applications
GA Papakostas, YS Boutalis, DE Koulouriotis, BG Mertzios
International Journal of Pattern Recognition and Artificial Intelligence 22 …, 2008
1432008
A new class of Zernike moments for computer vision applications
GA Papakostas, YS Boutalis, DA Karras, BG Mertzios
Information Sciences 177 (13), 2802-2819, 2007
1412007
Mlops-definitions, tools and challenges
G Symeonidis, E Nerantzis, A Kazakis, GA Papakostas
2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022
1092022
Performance evaluation of moment-based watermarking methods: a review
ED Tsougenis, GA Papakostas, DE Koulouriotis, VD Tourassis
Journal of Systems and Software 85 (8), 1864-1884, 2012
1002012
Airfare Prices Prediction Using Machine Learning Techniques
K Tziridis, T Kalampokas, GA Papakostas, KI Diamantaras
25th European Signal Processing Conference (EUSIPCO), 1071-1074, 2017
872017
New image encryption algorithm using hyperchaotic system and fibonacci q-matrix
KM Hosny, ST Kamal, MM Darwish, GA Papakostas
Electronics 10 (9), 1066, 2021
842021
Towards Hebbian learning of fuzzy cognitive maps in pattern classification problems
GA Papakostas, DE Koulouriotis, AS Polydoros, VD Tourassis
Expert Systems with Applications 39 (12), 10620-10629, 2012
842012
Moment-based local binary patterns: a novel descriptor for invariant pattern recognition applications
GA Papakostas, DE Koulouriotis, EG Karakasis, VD Tourassis
Neurocomputing 99, 358-371, 2013
792013
Novel moment invariants for improved classification performance in computer vision applications
GA Papakostas, EG Karakasis, DE Koulouriotis
Pattern Recognition 43 (1), 58-68, 2010
782010
A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data
GA Papakostas, A Savio, M Graņa, VG Kaburlasos
Neurocomputing 150, 37-42, 2015
762015
Efficient and accurate computation of geometric moments on gray-scale images
GA Papakostas, EG Karakasis, DE Koulouriotis
Pattern Recognition 41 (6), 1895-1904, 2008
722008
Adaptive color image watermarking by the use of quaternion image moments
ED Tsougenis, GA Papakostas, DE Koulouriotis, EG Karakasis
Expert systems with applications 41 (14), 6408-6418, 2014
712014
A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants
EG Karakasis, GA Papakostas, DE Koulouriotis, VD Tourassis
Image Processing, IEEE Transactions on 23 (2), 596 - 611, 2014
702014
Lattice computing extension of the FAM neural classifier for human facial expression recognition
VG Kaburlasos, SE Papadakis, GA Papakostas
Neural Networks and Learning Systems, IEEE Transactions on 24 (10), 1526 - 1538, 2013
662013
A survey on adversarial deep learning robustness in medical image analysis
KD Apostolidis, GA Papakostas
Electronics 10 (17), 2132, 2021
632021
Numerical error analysis in Zernike moments computation
GA Papakostas, YS Boutalis, CN Papaodysseus, DK Fragoulis
Image and Vision Computing 24 (9), 960-969, 2006
602006
Classifying patterns using fuzzy cognitive maps
GA Papakostas, DE Koulouriotis
Fuzzy cognitive maps: Advances in theory, methodologies, tools and …, 2010
552010
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