George A. Papakostas

ORCID

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 79

Top Venues

Publications

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) (2023)
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 (2023)
Eleni Vrochidou, Vladan Papic, Theofanis Kalampokas, George A. Papakostas
Automatic Facial Palsy Detection - From Mathematical Modeling to Deep Learning. Axioms 12 (12) (2023)
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) (2023)
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 (2023)
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 (2023)
Ioannis Tsimperidis, Denitsa Grunova, George A. Papakostas
The Way We Type Reveals Our Native Language. IEEE Access 11 (2023)
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)
Pavlina Mitsou, Nikoleta-Victoria Tsakalidou, Eleni Vrochidou, George A. Papakostas
COVID-19 Imposes Rethinking of Conferencing - Environmental Impact Assessment of Artificial Intelligence Conferences. CoRR (2023)
Chrisa Samara, Eleni Vrochidou, George A. Papakostas
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning. SoftCOM (2023)
Theofanis Kalampokas, Stelios Krinidis, Vassilios Chatzis, George A. Papakostas
Performance benchmark of deep learning human pose estimation for UAVs. Mach. Vis. Appl. 34 (5) (2023)
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 (2023)
Theofanis Kalampokas, Dimitrios Mentizis, Eleni Vrochidou, George A. Papakostas
Connecting national flags - a deep learning approach. Multim. Tools Appl. 82 (25) (2023)
Eleftherios Batzolis, Eleni Vrochidou, George A. Papakostas
Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges. CCWC (2023)
George K. Sidiropoulos, Kyriakos D. Apostolidis, Nikolaos Damianos, George A. Papakostas
Fsmpy: A Fuzzy Set Measures Python Library. Inf. 13 (2) (2022)
Seraphim S. Moumgiakmas, George A. Papakostas
Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces. Comput. 11 (5) (2022)
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) (2022)
Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas
MLOps - Definitions, Tools and Challenges. CoRR (2022)
Marios-Christos Malamatinos, Eleni Vrochidou, George A. Papakostas
On Predicting Soccer Outcomes in the Greek League Using Machine Learning. Comput. 11 (9) (2022)
Theofanis Kalampokas, George A. Papakostas, Vassilios Chatzis, Stelios Krinidis
Performance Benchmarking of Visual Human Tracking Algorithms for UAVs. PCI (2022)
Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas
MLOps - Definitions, Tools and Challenges. CCWC (2022)
George K. Sidiropoulos, Nikolaos Diamianos, Kyriakos D. Apostolidis, George A. Papakostas
Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study. Inf. 13 (5) (2022)
Gerasimos G. Samatas, George A. Papakostas
Biometrics: Going 3D. Sensors 22 (17) (2022)
Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, George K. Sidiropoulos, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva, Maria I. Papadopoulou, Athanasios Evangeliou
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 22 (2) (2022)
Kyriaki A. Tychola, Ioannis Tsimperidis, George A. Papakostas
On 3D Reconstruction Using RGB-D Cameras. Digit. 2 (3) (2022)
Kyriakos D. Apostolidis, George A. Papakostas
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. J. Imaging 8 (6) (2022)
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) (2022)
Avraam Koufatzis, Eleni Vrochidou, George A. Papakostas
Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning. IWSSIP (2022)
Nikolaos-Ioannis Galanis, Panagiotis Vafiadis, Kostas-Gkouram Mirzaev, George A. Papakostas
Machine Learning Meets Natural Language Processing - The Story so Far. AIAI (2021)
K. D. Apostolidis, P. S. Amanatidis, George A. Papakostas
Performance Evaluation of Convolutional Neural Networks for Gait Recognition. CoRR (2021)
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)
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)
Theofanis Kalampokas, George A. Papakostas
Moment Transform-Based Compressive Sensing in Image Processing. IWSSIP (2021)
Konstantinos Tziridis, Theofanis Kalampokas, George A. Papakostas
EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments. CCWC (2021)
Gerasimos G. Samatas, Seraphim S. Moumgiakmas, George A. Papakostas
Predictive Maintenance - Bridging Artificial Intelligence and IoT. AIIoT (2021)
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)
Panagiotis Savvidis, George A. Papakostas
Remote Crop Sensing with IoT and AI on the Edge. AIIoT (2021)
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)
Seraphim S. Moumgiakmas, Gerasimos G. Samatas, George A. Papakostas
Computer Vision for Fire Detection on UAVs - From Software to Hardware. Future Internet 13 (8) (2021)
Nikolaos-Ioannis Galanis, Panagiotis Vafiadis, Kostas-Gkouram Mirzaev, George A. Papakostas
Machine Learning Meets Natural Language Processing - The story so far. CoRR (2021)
V. N. Tsakalidou, P. Mitsou, George A. Papakostas
Machine learning for cloud resources management - An overview. CoRR (2021)
George K. Sidiropoulos, Polixeni Kiratsa, Petros Chatzipetrou, George A. Papakostas
Feature Extraction for Finger-Vein-Based Identity Recognition. J. Imaging 7 (5) (2021)
George K. Sidiropoulos, George A. Papakostas
Machine Biometrics - Towards Identifying Machines in a Smart City Environment. CoRR (2021)
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 (2021)
George K. Sidiropoulos, George A. Papakostas
Machine Biometrics - Towards Identifying Machines in a Smart City Environment. AIIoT (2021)
Gerasimos G. Samatas, Seraphim S. Moumgiakmas, George A. Papakostas
Predictive Maintenance - Bridging Artificial Intelligence and IoT. CoRR (2021)
Th. Kalampokas, George A. Papakostas
Moment Transform-Based Compressive Sensing in Image Processing. CoRR (2021)
Kyriakos D. Apostolidis, Theodore Polyzos, Ioannis Grigoriadis, George A. Papakostas
Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment. ICSPIS (2021)
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)
Kyriakos Apostolidis, Petros Amanatidis, George A. Papakostas
Performance Evaluation of Convolutional Neural Networks for Gait Recognition. PCI (2020)
George A. Papakostas, John W. Nolan, Athanasios C. Mitropoulos
Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media. Algorithms 13 (3) (2020)
Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. ICMV (2020)
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)
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)
Rafaela Efstratiou, Charalambos Karatsioras, Maria I. 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)
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)
Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, G. Siavalas, Christos Sgouros, P. Kyriakidis
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. IJCNN (2020)
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)
T. Maliamanis, George A. Papakostas
DOME-T: adversarial computer vision attack on deep learning models based on Tchebichef image moments. ICMV (2020)
Theodore P. Pachidis, Christos Sgouros, Vassilis G. Kaburlasos, Eleni Vrochidou, Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, George A. Papakostas
Robotic Arm Towards Implementing a Grapes Harvesting Robot. SoftCOM (2020)
Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos
On Measuring Engagement Level During Child-Robot Interaction in Education. RiE (2019)
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) (2019)
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)
Vasiliki Holeva, Vasiliki-Aliki Nikopoulou, Maria I. Papadopoulou, Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). ICSR (2019)
T. Maliamanis, George A. Papakostas
Adversarial computer vision: a current snapshot. ICMV (2019)
Eftichia Badeka, Theofanis Kalabokas, 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)
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)
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)
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)
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)
George A. Papakostas, Athanasios K. Strolis, Fotis Panagiotopoulos, Charalabos N. Aitsidis
Social Robot Selection: A Case Study in Education. SoftCOM (2018)
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)
George A. Papakostas, Konstantinos I. Diamantaras, Theophilos Papadimitriou
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. J. Parallel Distributed Comput. 99 (2017)
Konstantinos Tziridis, Th. Kalampokas, George A. Papakostas, Kostas I. Diamantaras
Airfare prices prediction using machine learning techniques. EUSIPCO (2017)
George A. Papakostas, Konstantinos I. Diamantaras, Francesco A. N. Palmieri
Emerging Trends in Machine Learning for Signal Processing. Comput. Intell. Neurosci. 2017 (2017)
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) (2015)
E. D. Tsougenis, George A. Papakostas, Dimitris E. Koulouriotis
Image watermarking via separable moments. Multim. Tools Appl. 74 (11) (2015)
George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE (2015)
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 (2015)
George A. Papakostas, E. D. Tsougenis, Dimitris E. Koulouriotis
Moment-based local image watermarking via genetic optimization. Appl. Math. Comput. 227 (2014)
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) (2014)
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) (2014)
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) (2014)
Josu Maiora, George A. Papakostas, Vassilis G. Kaburlasos, Manuel Graña
A proposal of Texture Features for interactive CTA Segmentation by Active Learning. InMed (2014)
George A. Papakostas, Konstantinos I. Diamantaras
Efficient data classification by GPU-accelerated linear mean squared slack minimization. MLSP (2014)
George A. Papakostas, Vassilis G. Kaburlasos
Lattice computing (LC) meta-representation for pattern classification. FUZZ-IEEE (2014)
George A. Papakostas, Vassilis G. Kaburlasos, Theodore P. Pachidis
Thermal infrared face recognition based on lattice computing (LC) techniques. FUZZ-IEEE (2013)
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 (2013)
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) (2013)
Evangelos G. Karakasis, George A. Papakostas, Dimitris E. Koulouriotis, Vassilios D. Tourassis
Generalized dual Hahn moment invariants. Pattern Recognit. 46 (7) (2013)
Vassilis G. Kaburlasos, George A. Papakostas, Theodore P. Pachidis, Alex Athinellis
Intervals' Numbers (INs) interpolation/extrapolation. FUZZ-IEEE (2013)
E. D. Tsougenis, George A. Papakostas, Dimitris E. Koulouriotis
Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework. DSP (2013)
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) (2013)
Khalid M. Hosny, George A. Papakostas, Dimitris E. Koulouriotis
Accurate reconstruction of noisy medical images using orthogonal moments. DSP (2013)
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) (2012)
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) (2012)
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) (2012)
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) (2012)
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)
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)

George A. Papakostas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

George A. Papakostas