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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
2262019
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
2152013
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
1732012
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
1422007
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
1402008
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
MLOps-definitions, tools and challenges
G Symeonidis, E Nerantzis, A Kazakis, GA Papakostas
2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022
942022
Airfare Prices Prediction Using Machine Learning Techniques
K Tziridis, T Kalampokas, GA Papakostas, KI Diamantaras
25th European Signal Processing Conference (EUSIPCO), 1071-1074, 2017
862017
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
832012
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
802013
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 Graña, VG Kaburlasos
Neurocomputing 150, 37-42, 2015
752015
New image encryption algorithm using hyperchaotic system and fibonacci q-matrix
KM Hosny, ST Kamal, MM Darwish, GA Papakostas
Electronics 10 (9), 1066, 2021
742021
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
692014
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
692014
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
Numerical error analysis in Zernike moments computation
GA Papakostas, YS Boutalis, CN Papaodysseus, DK Fragoulis
Image and Vision Computing 24 (9), 960-969, 2006
612006
A survey on adversarial deep learning robustness in medical image analysis
KD Apostolidis, GA Papakostas
Electronics 10 (17), 2132, 2021
582021
Generalized dual Hahn moment invariants
EG Karakasis, GA Papakostas, DE Koulouriotis, VD Tourassis
Pattern Recognition 46 (7), 1998-2014, 2013
532013
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