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George A. Papakostas
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2020 – today
- 2023
- [j53]Theofanis Kalampokas
, Konstantinos Tziridis
, Nikolaos Kalampokas
, Alexandros Nikolaou, Eleni Vrochidou
, George A. Papakostas
:
A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques. IEEE Access 11: 46627-46643 (2023) - [j52]Khalid M. Hosny
, Walaa M. El-Hady
, Farid M. Samy, Eleni Vrochidou
, George A. Papakostas
:
Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern. IEEE Access 11: 62307-62317 (2023) - [j51]Mohamed Gabr
, Rimon Elias
, Khalid M. Hosny
, George A. Papakostas
, Wassim Alexan
:
Image Encryption via Base-n PRNGs and Parallel Base-n S-Boxes. IEEE Access 11: 85002-85030 (2023) - [j50]Khalid M. Hosny
, Doaa Elshoura, Ehab R. Mohamed
, Eleni Vrochidou
, George A. Papakostas
:
Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review. IEEE Access 11: 85467-85488 (2023) - [j49]Ioannis Tsimperidis
, Denitsa Grunova, George A. Papakostas
:
The Way We Type Reveals Our Native Language. IEEE Access 11: 98191-98201 (2023) - [j48]Eleni Vrochidou
, Vladan Papic
, Theofanis Kalampokas
, George A. Papakostas
:
Automatic Facial Palsy Detection - From Mathematical Modeling to Deep Learning. Axioms 12(12): 1091 (2023) - [j47]Georgios D. Karatzinis, Nikolaos A. Apostolikas, Yiannis S. Boutalis, George A. Papakostas:
Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures. Int. J. Fuzzy Syst. 25(7): 2534-2554 (2023) - [j46]Konstantinos Filippou, George Aifantis, George A. Papakostas
, George E. Tsekouras
:
Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. Inf. 14(4): 232 (2023) - [j45]Theofanis Kalampokas
, Dimitrios Mentizis, Eleni Vrochidou
, George A. Papakostas
:
Connecting national flags - a deep learning approach. Multim. Tools Appl. 82(25): 39435-39457 (2023) - [j44]Theofanis Kalampokas
, Stelios Krinidis
, Vassilios Chatzis
, George A. Papakostas
:
Performance benchmark of deep learning human pose estimation for UAVs. Mach. Vis. Appl. 34(5): 97 (2023) - [c57]Eleni Vrochidou, George K. Sidiropoulos, Ioannis Tsimperidis, Athanasios G. Ouzounis, Ilias T. Sarafis, Vassilis Kalpakis, Andreas Stamkos, George A. Papakostas:
Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection. AIIoT 2023: 243-249 - [c56]Eleftherios Batzolis, Eleni Vrochidou, George A. Papakostas:
Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges. CCWC 2023: 345-350 - [c55]Chrisa Samara, Eleni Vrochidou, George A. Papakostas:
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning. SoftCOM 2023: 1-7 - [i8]Pavlina Mitsou, Nikoleta-Victoria Tsakalidou, Eleni Vrochidou, George A. Papakostas:
COVID-19 Imposes Rethinking of Conferencing - Environmental Impact Assessment of Artificial Intelligence Conferences. CoRR abs/2311.14692 (2023) - 2022
- [j43]Nikolaos-Ioannis Galanis
, Panagiotis Vafiadis
, Kostas-Gkouram Mirzaev
, George A. Papakostas
:
Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants. Algorithms 15(11): 391 (2022) - [j42]Seraphim S. Moumgiakmas
, George A. Papakostas
:
Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces. Comput. 11(5): 61 (2022) - [j41]Marios-Christos Malamatinos
, Eleni Vrochidou
, George A. Papakostas
:
On Predicting Soccer Outcomes in the Greek League Using Machine Learning. Comput. 11(9): 133 (2022) - [j40]Kyriaki A. Tychola
, Ioannis Tsimperidis
, George A. Papakostas
:
On 3D Reconstruction Using RGB-D Cameras. Digit. 2(3): 401-421 (2022) - [j39]George K. Sidiropoulos
, Kyriakos D. Apostolidis, Nikolaos Damianos, George A. Papakostas
:
Fsmpy: A Fuzzy Set Measures Python Library. Inf. 13(2): 64 (2022) - [j38]George K. Sidiropoulos
, Nikolaos Diamianos, Kyriakos D. Apostolidis
, George A. Papakostas
:
Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study. Inf. 13(5): 235 (2022) - [j37]Kyriakos D. Apostolidis, George A. Papakostas
:
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. J. Imaging 8(6): 155 (2022) - [j36]George K. Sidiropoulos
, Athanasios G. Ouzounis, George A. Papakostas
, Anastasia Lampoglou, Ilias T. Sarafis, Andreas Stamkos, George Solakis:
Hand-Crafted and Learned Feature Aggregation for Visual Marble Tiles Screening. J. Imaging 8(7): 191 (2022) - [j35]Chris Lytridis
, Vassilis G. Kaburlasos
, Christos Bazinas
, George A. Papakostas
, George K. Sidiropoulos
, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva
, Maria Papadopoulou
, Athanasios Evangeliou
:
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 22(2): 621 (2022) - [j34]Gerasimos G. Samatas, George A. Papakostas
:
Biometrics: Going 3D. Sensors 22(17): 6364 (2022) - [c54]Georgios Symeonidis
, Evangelos Nerantzis
, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. CCWC 2022: 453-460 - [c53]Avraam Koufatzis, Eleni Vrochidou
, George A. Papakostas:
Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning. IWSSIP 2022: 1-4 - [c52]Theofanis Kalampokas
, George A. Papakostas
, Vassilios Chatzis
, Stelios Krinidis
:
Performance Benchmarking of Visual Human Tracking Algorithms for UAVs. PCI 2022: 1-7 - [i7]Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. CoRR abs/2201.00162 (2022) - 2021
- [j33]Theofanis Kalampokas
, Eleni Vrochidou
, George A. Papakostas, Theodore P. Pachidis
, Vassilis G. Kaburlasos:
Grape stem detection using regression convolutional neural networks. Comput. Electron. Agric. 186: 106220 (2021) - [j32]Seraphim S. Moumgiakmas
, Gerasimos G. Samatas, George A. Papakostas
:
Computer Vision for Fire Detection on UAVs - From Software to Hardware. Future Internet 13(8): 200 (2021) - [j31]George K. Sidiropoulos
, Polixeni Kiratsa, Petros Chatzipetrou, George A. Papakostas
:
Feature Extraction for Finger-Vein-Based Identity Recognition. J. Imaging 7(5): 89 (2021) - [c51]Panagiotis Savvidis, George A. Papakostas:
Remote Crop Sensing with IoT and AI on the Edge. AIIoT 2021: 48-54 - [c50]George K. Sidiropoulos
, George A. Papakostas:
Machine Biometrics - Towards Identifying Machines in a Smart City Environment. AIIoT 2021: 197-201 - [c49]Gerasimos G. Samatas, Seraphim S. Moumgiakmas
, George A. Papakostas:
Predictive Maintenance - Bridging Artificial Intelligence and IoT. AIIoT 2021: 413-419 - [c48]George K. Sidiropoulos
, Athanasios G. Ouzounis, George A. Papakostas, Ilias T. Sarafis, Andreas Stamkos, George Solakis:
Texture Analysis for Machine Learning Based Marble Tiles Sorting. CCWC 2021: 45-51 - [c47]Konstantinos Tziridis
, Theofanis Kalampokas
, George A. Papakostas:
EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments. CCWC 2021: 184-190 - [c46]Athanasios G. Ouzounis, George K. Sidiropoulos
, George A. Papakostas, Ilias T. Sarafis, Andreas Stamkos, George Solakis:
Interpretable Deep Learning for Marble Tiles Sorting. DeLTA 2021: 101-108 - [c45]Kyriakos D. Apostolidis, Theodore Polyzos, Ioannis Grigoriadis, George A. Papakostas:
Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment. ICSPIS 2021: 68-71 - [c44]Nikolaos-Ioannis Galanis
, Panagiotis Vafiadis
, Kostas-Gkouram Mirzaev
, George A. Papakostas
:
Machine Learning Meets Natural Language Processing - The Story so Far. AIAI 2021: 673-686 - [c43]Theofanis Kalampokas
, George A. Papakostas:
Moment Transform-Based Compressive Sensing in Image Processing. IWSSIP 2021: 96-107 - [c42]Elpida Karageorgiou, Efrosyni Kourampa, Athanasia-Tania Papanikolaou, Petros Kechayas, Eleftheria Avramidou, Rafailia-Androniki Sabri, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos:
Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities. RiE 2021: 26-33 - [c41]Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, Christina I. Papadopoulou, Vasiliki-Aliki Nikopoulou:
A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education. SoftCOM 2021: 1-5 - [i6]Kyriakos D. Apostolidis, P. S. Amanatidis, George A. Papakostas:
Performance Evaluation of Convolutional Neural Networks for Gait Recognition. CoRR abs/2101.10141 (2021) - [i5]V. N. Tsakalidou, Pavlina Mitsou, George A. Papakostas:
Machine learning for cloud resources management - An overview. CoRR abs/2101.11984 (2021) - [i4]George K. Sidiropoulos, George A. Papakostas:
Machine Biometrics - Towards Identifying Machines in a Smart City Environment. CoRR abs/2102.13190 (2021) - [i3]Gerasimos G. Samatas, Seraphim S. Moumgiakmas, George A. Papakostas:
Predictive Maintenance - Bridging Artificial Intelligence and IoT. CoRR abs/2103.11148 (2021) - [i2]Nikolaos-Ioannis Galanis, Panagiotis Vafiadis, Kostas-Gkouram Mirzaev, George A. Papakostas:
Machine Learning Meets Natural Language Processing - The story so far. CoRR abs/2104.10213 (2021) - [i1]Th. Kalampokas, George A. Papakostas:
Moment Transform-Based Compressive Sensing in Image Processing. CoRR abs/2111.07254 (2021) - 2020
- [j30]George A. Papakostas
, John W. Nolan, Athanasios C. Mitropoulos:
Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media. Algorithms 13(3): 65 (2020) - [c40]Theofanis Kalampokas, Konstantinos Tziridis
, Alexandros Nikolaou, Eleni Vrochidou
, George A. Papakostas, Theodore P. Pachidis
, Vassilis G. Kaburlasos:
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. EANN 2020: 292-303 - [c39]Eleni Vrochidou, Theodore P. Pachidis, Michail Manios, George A. Papakostas, Vassilis G. Kaburlasos, Serafeim Theocharis, Stefanos Koundouras, Katerina Karabatea, Elizabeth Bouloumpasi, Stavros Pavlidis, Spyridon Mamalis, Theodora Merou:
Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems. HAICTA 2020: 105-113 - [c38]T. Maliamanis, George A. Papakostas:
DOME-T: adversarial computer vision attack on deep learning models based on Tchebichef image moments. ICMV 2020: 116050D - [c37]Eleni Vrochidou
, George A. Papakostas, Vassilis G. Kaburlasos:
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. ICMV 2020: 116051D - [c36]Vassilis G. Kaburlasos, Eleni Vrochidou
, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis
, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis
, George Siavalas, Christos Sgouros, P. Kyriakidis:
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. IJCNN 2020: 1-6 - [c35]Eftichia Badeka, Eleni Vrochidou
, Konstantinos Tziridis
, Alexander Nicolaou, George A. Papakostas, Theodore P. Pachidis
, Vassilis G. Kaburlasos:
Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing. IEEE Conf. on Intelligent Systems 2020: 171-177 - [c34]Kyriakos Apostolidis
, Petros Amanatidis, George A. Papakostas:
Performance Evaluation of Convolutional Neural Networks for Gait Recognition. PCI 2020: 61-63 - [c33]Rafaela Efstratiou, Charalambos Karatsioras, Maria Papadopoulou, Cristina I. Papadopoulou, Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos:
Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper. RiE 2020: 86-97 - [c32]George K. Sidiropoulos, Christos Bazinas, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos, Petros Kechayas, Efi Kourampa, Sotirianna Rafaela Katsi, Charalambos Karatsioras:
Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study. RiE 2020: 98-105 - [c31]Chris Lytridis, Cristina I. Papadopoulou, George A. Papakostas, Vassilis G. Kaburlasos, Vasiliki-Aliki Nikopoulou, Maria Dialechti Kerasidou, Nikolaos Dalivigkas:
Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. SoftCOM 2020: 1-4 - [c30]Theodore P. Pachidis
, Christos Sgouros, Vassilis G. Kaburlasos, Eleni Vrochidou
, Theofanis Kalampokas
, Konstantinos Tziridis
, Alexandros Nikolaou, George A. Papakostas:
Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot. SoftCOM 2020: 1-6
2010 – 2019
- 2019
- [j29]Efthimia Mavridou, Eleni Vrochidou
, George A. Papakostas
, Theodore P. Pachidis
, Vassilis G. Kaburlasos
:
Machine Vision Systems in Precision Agriculture for Crop Farming. J. Imaging 5(12): 89 (2019) - [c29]T. Maliamanis, George A. Papakostas:
Adversarial computer vision: a current snapshot. ICMV 2019: 1143328 - [c28]Eftichia Badeka, Theofanis Kalampokas
, Konstantinos Tziridis
, Alexander Nicolaou, Eleni Vrochidou
, Efthimia Mavridou, George A. Papakostas, Theodore P. Pachidis
:
Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors. ICVS 2019: 98-109 - [c27]Chris Lytridis, Eleni Vrochidou
, George K. Sidiropoulos
, George A. Papakostas, Vassilis G. Kaburlasos, Efi Kourampa, Elpida Karageorgiou:
Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques. IISA 2019: 1-4 - [c26]Chris Lytridis, Christos Bazinas
, George A. Papakostas, Vassilis G. Kaburlasos:
On Measuring Engagement Level During Child-Robot Interaction in Education. RiE 2019: 3-13 - [c25]Vasiliki Holeva
, Vasiliki-Aliki Nikopoulou, Maria Papadopoulou
, Eleni Vrochidou
, George A. Papakostas, Vassilis G. Kaburlasos:
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). ICSR 2019: 484-493 - 2018
- [c24]George A. Papakostas, Vassilis G. Kaburlasos:
Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers. FUZZ-IEEE 2018: 1-6 - [c23]Polixeni Kiratsa, George K. Sidiropoulos
, E. V. Badeka, Cristina I. Papadopoulou, A. P. Nikolaou, George A. Papakostas:
Gender identification through facebook data analysis using machine learning techniques. PCI 2018: 117-120 - [c22]Snezhana Kostova, Maya Dimitrova
, Vassilis G. Kaburlasos, Eleni Vrochidou
, George A. Papakostas, Theodore P. Pachidis
, Svetoslava Saeva, Mirjana Bonkovic, Stanko Kruzic
, Tea Marasovic, Josip Music, Vladan Papic
, Milen Zamfirov:
Identifying Needs of Robotic and Technological Solutions for the Classroom. SoftCOM 2018: 1-6 - [c21]George A. Papakostas, Athanasios K. Strolis, Fotis Panagiotopoulos, Charalabos N. Aitsidis:
Social Robot Selection: A Case Study in Education. SoftCOM 2018: 1-4 - [c20]Eleni Vrochidou
, Michail Manios, George A. Papakostas, Charalabos N. Aitsidis, Fotis Panagiotopoulos:
Open-Source Robotics: Investigation on Existing Platforms and Their Application in Education. SoftCOM 2018: 1-6 - [c19]Eleni Vrochidou
, Aouatif Najoua, Chris Lytridis, Michail Salonidis
, Vassilios Ferelis, George A. Papakostas:
Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy. SoftCOM 2018: 1-5 - 2017
- [j28]George A. Papakostas
, Konstantinos I. Diamantaras, Francesco A. N. Palmieri
:
Emerging Trends in Machine Learning for Signal Processing. Comput. Intell. Neurosci. 2017: 6521367:1-6521367:2 (2017) - [j27]George A. Papakostas
, Konstantinos I. Diamantaras
, Theophilos Papadimitriou
:
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. J. Parallel Distributed Comput. 99: 90-99 (2017) - [c18]Konstantinos Tziridis, Th. Kalampokas, George A. Papakostas, Kostas I. Diamantaras:
Airfare prices prediction using machine learning techniques. EUSIPCO 2017: 1036-1039 - 2015
- [j26]Vassilis G. Kaburlasos
, George A. Papakostas:
Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications. IEEE Comput. Intell. Mag. 10(3): 42-51 (2015) - [j25]George A. Papakostas, Alexandre Savio, Manuel Graña, Vassilis G. Kaburlasos
:
A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data. Neurocomputing 150: 37-42 (2015) - [j24]E. D. Tsougenis, George A. Papakostas
, Dimitris E. Koulouriotis
:
Image watermarking via separable moments. Multim. Tools Appl. 74(11): 3985-4012 (2015) - [c17]George A. Papakostas, Elpiniki I. Papageorgiou
, Vassilis G. Kaburlasos
:
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE 2015: 1-7 - [p1]George A. Papakostas:
Improving the Recognition Performance of Moment Features by Selection. Feature Selection for Data and Pattern Recognition 2015: 305-327 - 2014
- [j23]George A. Papakostas
, E. D. Tsougenis, Dimitris E. Koulouriotis
:
Moment-based local image watermarking via genetic optimization. Appl. Math. Comput. 227: 222-236 (2014) - [j22]E. D. Tsougenis, George A. Papakostas, Dimitris E. Koulouriotis
, Evangelos G. Karakasis:
Adaptive color image watermarking by the use of quaternion image moments. Expert Syst. Appl. 41(14): 6408-6418 (2014) - [j21]Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas:
Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition. J. Multiple Valued Log. Soft Comput. 22(4-6): 561-579 (2014) - [j20]Evangelos G. Karakasis, George A. Papakostas, Dimitris E. Koulouriotis
, Vassilios D. Tourassis:
A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants. IEEE Trans. Image Process. 23(2): 596-611 (2014) - [c16]George A. Papakostas, Vassilis G. Kaburlasos
:
Lattice computing (LC) meta-representation for pattern classification. FUZZ-IEEE 2014: 39-44 - [c15]Josu Maiora
, George A. Papakostas, Vassilis G. Kaburlasos
, Manuel Graña:
A proposal of Texture Features for interactive CTA Segmentation by Active Learning. InMed 2014: 311-320 - [c14]George A. Papakostas, Konstantinos I. Diamantaras
:
Efficient data classification by GPU-accelerated linear mean squared slack minimization. MLSP 2014: 1-6 - 2013
- [j19]George A. Papakostas
, Dimitris E. Koulouriotis
, Evangelos G. Karakasis, Vasileios D. Tourassis:
Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications. Neurocomputing 99: 358-371 (2013) - [j18]Evangelos G. Karakasis, George A. Papakostas
, Dimitris E. Koulouriotis
, Vassilios D. Tourassis:
Generalized dual Hahn moment invariants. Pattern Recognit. 46(7): 1998-2014 (2013) - [j17]George A. Papakostas
, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos
:
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view. Pattern Recognit. Lett. 34(14): 1609-1622 (2013) - [j16]Vassilis G. Kaburlasos
, Stelios E. Papadakis
, George A. Papakostas
:
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1526-1538 (2013) - [c13]Vassilis G. Kaburlasos
, George A. Papakostas
, Theodore P. Pachidis
, Alex Athinellis:
Intervals' Numbers (INs) interpolation/extrapolation. FUZZ-IEEE 2013 - [c12]George A. Papakostas
, Vassilis G. Kaburlasos
, Theodore P. Pachidis
:
Thermal infrared face recognition based on lattice computing (LC) techniques. FUZZ-IEEE 2013: 1-6 - [c11]Khalid M. Hosny
, George A. Papakostas
, Dimitris E. Koulouriotis
:
Accurate reconstruction of noisy medical images using orthogonal moments. DSP 2013: 1-6 - [c10]E. D. Tsougenis, George A. Papakostas
, Dimitris E. Koulouriotis
:
Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework. DSP 2013: 1-6 - 2012
- [j15]Maria K. Ketipi, Dimitris E. Koulouriotis
, Evangelos G. Karakasis, George A. Papakostas
, Vassilios D. Tourassis:
A flexible nonlinear approach to represent cause-effect relationships in FCMs. Appl. Soft Comput. 12(12): 3757-3770 (2012) - [j14]George A. Papakostas
, Dimitris E. Koulouriotis
, Athanasios S. Polydoros
, Vassilios D. Tourassis:
Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems. Expert Syst. Appl. 39(12): 10620-10629 (2012) - [j13]Anestis G. Hatzimichailidis, George A. Papakostas
, Vassilis G. Kaburlasos
:
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems. Int. J. Intell. Syst. 27(4): 396-409 (2012) - [j12]E. D. Tsougenis, George A. Papakostas
, Dimitris E. Koulouriotis
, Vassilios D. Tourassis:
Performance evaluation of moment-based watermarking methods: A review. J. Syst. Softw. 85(8): 1864-1884 (2012) - 2011
- [c9]Maria K. Ketipi, Dimitris E. Koulouriotis
, Evangelos G. Karakasis, George A. Papakostas
, Vassilios D. Tourassis:
Nonlinear cause-effect relationships in Fuzzy Cognitive Maps. FUZZ-IEEE 2011: 836-843 - [c8]George A. Papakostas
, Athanasios S. Polydoros
, Dimitris E. Koulouriotis
, Vasileios D. Tourassis:
Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. FUZZ-IEEE 2011: 851-858 - 2010
- [j11]George A. Papakostas
, Dimitris E. Koulouriotis
, Evangelos G. Karakasis:
Computation strategies of orthogonal image moments: A comparative study. Appl. Math. Comput. 216(1): 1-17 (2010) - [j10]George A. Papakostas
, Evangelos G. Karakasis, Dimitris E. Koulouriotis
:
Accurate and speedy computation of image Legendre moments for computer vision applications. Image Vis. Comput. 28(3): 414-423 (2010) - [j9]George A. Papakostas
, Evangelos G. Karakasis, Dimitris E. Koulouriotis
:
Novel moment invariants for improved classification performance in computer vision applications. Pattern Recognit. 43(1): 58-68 (2010) - [c7]George A. Papakostas
, Dimitrios A. Karras
, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt:
A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification. FGIT-GDC/CA 2010: 257-268
2000 – 2009
- 2009
- [j8]George A. Papakostas
, Yiannis S. Boutalis, Dimitris A. Karras
, Basil G. Mertzios:
Pattern classification by using improved wavelet Compressed Zernike Moments. Appl. Math. Comput. 212(1): 162-176 (2009) - [j7]George A. Papakostas
, Dimitris E. Koulouriotis
, Evangelos G. Karakasis:
A unified methodology for the efficient computation of discrete orthogonal image moments. Inf. Sci. 179(20): 3619-3633 (2009) - [j6]George A. Papakostas
, Yiannis S. Boutalis, Dimitrios A. Karras
, Basil G. Mertzios:
Modified Factorial-Free Direct Methods for Zernike and Pseudo-Zernike Moment Computation. IEEE Trans. Instrum. Meas. 58(7): 2121-2131 (2009) - 2008
- [j5]George A. Papakostas
, Yiannis S. Boutalis, Constantin Papaodysseus
, Dimitrios K. Fragoulis:
Numerical stability of fast computation algorithms of Zernike moments. Appl. Math. Comput. 195(1): 326-345 (2008) - [j4]George A. Papakostas
, Yiannis S. Boutalis, Dimitris E. Koulouriotis
, Basil G. Mertzios:
Fuzzy Cognitive Maps for Pattern Recognition Applications. Int. J. Pattern Recognit. Artif. Intell. 22(8): 1461-1486 (2008) - [j3]George A. Papakostas
, Evangelos G. Karakasis, Dimitris E. Koulouriotis
:
Efficient and accurate computation of geometric moments on gray-scale images. Pattern Recognit. 41(6): 1895-1904 (2008) - 2007
- [j2]George A. Papakostas
, Yiannis S. Boutalis, Dimitris A. Karras
, Basil G. Mertzios:
A new class of Zernike moments for computer vision applications. Inf. Sci. 177(13): 2802-2819 (2007) - [c6]George A. Papakostas
, Evangelos G. Karakasis, Dimitris E. Koulouriotis
:
Exact and Speedy Computation of Legendre Moments on Binary Images. WIAMIS 2007: 48 - 2006
- [j1]George A. Papakostas
, Yiannis S. Boutalis, Constantin Papaodysseus
, Dimitrios K. Fragoulis:
Numerical error analysis in Zernike moments computation. Image Vis. Comput. 24(9): 960-969 (2006) - 2005
- [c5]George A. Papakostas, Yiannis S. Boutalis:
An exploration measure of the diversity variation in genetic algorithms. ICINCO 2005: 260-265 - 2004
- [c4]George A. Papakostas, Olga I. Kosmidou, I. E. Antonakis:
An LMI-Based Genetic Algorithm for Guaranteed Cost Control. ICINCO (1) 2004: 327-333 - [c3]George A. Papakostas, Yiannis S. Boutalis, Dimitris A. Karras, Basil G. Mertzios:
On the Reconstruction Performance of Compressed Orthogonal Moments. ICINCO (2) 2004: 468-474 - 2002
- [c2]George A. Papakostas, Dimitris A. Karras
, Basil G. Mertzios:
Image coding using a wavelet based Zernike moments compression technique. DSP 2002: 517-520 - 2001
- [c1]Olga I. Kosmidou, George A. Papakostas, G. D. Tampakis:
Robust multiple objective control by using LMI optimization. ECC 2001: 713-716
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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