default search action
George A. Papakostas
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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
- [c18]Konstantinos Tziridis, Th. Kalampokas, George A. Papakostas, Kostas I. Diamantaras:
Airfare prices prediction using machine learning techniques. EUSIPCO 2017: 1036-1039 - 2015
- [c17]George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos:
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE 2015: 1-7 - 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
- [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 - 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
- [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 - 2007
- [c6]George A. Papakostas, Evangelos G. Karakasis, Dimitris E. Koulouriotis:
Exact and Speedy Computation of Legendre Moments on Binary Images. WIAMIS 2007: 48 - 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
Parts in Books or Collections
- 2015
- [p1]George A. Papakostas:
Improving the Recognition Performance of Moment Features by Selection. Feature Selection for Data and Pattern Recognition 2015: 305-327
Informal and Other Publications
- 2023
- [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
- [i7]Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. CoRR abs/2201.00162 (2022) - 2021
- [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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint