Robust multiple objective control by using LMI optimization. - Olga I. Kosmidou; George A. Papakostas; G. D. Tampakis (ECC, 2001)

Image coding using a wavelet based Zernike moments compression technique. - George A. Papakostas; Dimitris A. Karras; Basil G. Mertzios (DSP, 2002)

On the Reconstruction Performance of Compressed Orthogonal Moments. - George A. Papakostas; Yiannis S. Boutalis; Dimitris A. Karras; Basil G. Mertzios (ICINCO (2), 2004)

An LMI-Based Genetic Algorithm for Guaranteed Cost Control. - George A. Papakostas; Olga I. Kosmidou; I. E. Antonakis (ICINCO (1), 2004)

An exploration measure of the diversity variation in genetic algorithms. - George A. Papakostas; Yiannis S. Boutalis (ICINCO, 2005)

Numerical error analysis in Zernike moments computation. - George A. Papakostas; Yiannis S. Boutalis; Constantin Papaodysseus; Dimitrios K. Fragoulis (Image Vis. Comput., 2006)

Exact and Speedy Computation of Legendre Moments on Binary Images. - George A. Papakostas; Evangelos G. Karakasis; Dimitris E. Koulouriotis (WIAMIS, 2007)

A new class of Zernike moments for computer vision applications. - George A. Papakostas; Yiannis S. Boutalis; Dimitris A. Karras; Basil G. Mertzios (Inf. Sci., 2007)

Numerical stability of fast computation algorithms of Zernike moments. - George A. Papakostas; Yiannis S. Boutalis; Constantin Papaodysseus; Dimitrios K. Fragoulis (Appl. Math. Comput., 2008)

Fuzzy Cognitive Maps for Pattern Recognition Applications. - George A. Papakostas; Yiannis S. Boutalis; Dimitris E. Koulouriotis; Basil G. Mertzios (Int. J. Pattern Recognit. Artif. Intell., 2008)

Efficient and accurate computation of geometric moments on gray-scale images. - George A. Papakostas; Evangelos G. Karakasis; Dimitris E. Koulouriotis (Pattern Recognit., 2008)

Pattern classification by using improved wavelet Compressed Zernike Moments. - George A. Papakostas; Yiannis S. Boutalis; Dimitris A. Karras; Basil G. Mertzios (Appl. Math. Comput., 2009)

A unified methodology for the efficient computation of discrete orthogonal image moments. - George A. Papakostas; Dimitris E. Koulouriotis; Evangelos G. Karakasis (Inf. Sci., 2009)

Modified Factorial-Free Direct Methods for Zernike and Pseudo-Zernike Moment Computation. - George A. Papakostas; Yiannis S. Boutalis; Dimitrios A. Karras; Basil G. Mertzios (IEEE Trans. Instrum. Meas., 2009)

A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification. - George A. Papakostas; Dimitrios A. Karras; Basil G. Mertzios; Danielle Graveron-Demilly; Dirk van Ormondt (FGIT-GDC/CA, 2010)

Computation strategies of orthogonal image moments: A comparative study. - George A. Papakostas; Dimitris E. Koulouriotis; Evangelos G. Karakasis (Appl. Math. Comput., 2010)

Accurate and speedy computation of image Legendre moments for computer vision applications. - George A. Papakostas; Evangelos G. Karakasis; Dimitris E. Koulouriotis (Image Vis. Comput., 2010)

Novel moment invariants for improved classification performance in computer vision applications. - George A. Papakostas; Evangelos G. Karakasis; Dimitris E. Koulouriotis (Pattern Recognit., 2010)

Nonlinear cause-effect relationships in Fuzzy Cognitive Maps. - Maria K. Ketipi; Dimitris E. Koulouriotis; Evangelos G. Karakasis; George A. Papakostas; Vassilios D. Tourassis (FUZZ-IEEE, 2011)

Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. - George A. Papakostas; Athanasios S. Polydoros; Dimitris E. Koulouriotis; Vasileios D. Tourassis (FUZZ-IEEE, 2011)

A flexible nonlinear approach to represent cause-effect relationships in FCMs. - Maria K. Ketipi; Dimitris E. Koulouriotis; Evangelos G. Karakasis; George A. Papakostas; Vassilios D. Tourassis (Appl. Soft Comput., 2012)

Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems. - George A. Papakostas; Dimitris E. Koulouriotis; Athanasios S. Polydoros; Vassilios D. Tourassis (Expert Syst. Appl., 2012)

A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems. - Anestis G. Hatzimichailidis; George A. Papakostas; Vassilis G. Kaburlasos (Int. J. Intell. Syst., 2012)

Performance evaluation of moment-based watermarking methods: A review. - E. D. Tsougenis; George A. Papakostas; Dimitris E. Koulouriotis; Vassilios D. Tourassis (J. Syst. Softw., 2012)

Intervals' Numbers (INs) interpolation/extrapolation. - Vassilis G. Kaburlasos; George A. Papakostas; Theodore P. Pachidis; Alex Athinellis (FUZZ-IEEE, 2013)

Thermal infrared face recognition based on lattice computing (LC) techniques. - George A. Papakostas; Vassilis G. Kaburlasos; Theodore P. Pachidis (FUZZ-IEEE, 2013)

Accurate reconstruction of noisy medical images using orthogonal moments. - Khalid M. Hosny; George A. Papakostas; Dimitris E. Koulouriotis (DSP, 2013)

Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework. - E. D. Tsougenis; George A. Papakostas; Dimitris E. Koulouriotis (DSP, 2013)

Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications. - George A. Papakostas; Dimitris E. Koulouriotis; Evangelos G. Karakasis; Vasileios D. Tourassis (Neurocomputing, 2013)

Generalized dual Hahn moment invariants. - Evangelos G. Karakasis; George A. Papakostas; Dimitris E. Koulouriotis; Vassilios D. Tourassis (Pattern Recognit., 2013)

Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view. - George A. Papakostas; Anestis G. Hatzimichailidis; Vassilis G. Kaburlasos (Pattern Recognit. Lett., 2013)

Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition. - Vassilis G. Kaburlasos; Stelios E. Papadakis; George A. Papakostas (IEEE Trans. Neural Networks Learn. Syst., 2013)

Lattice computing (LC) meta-representation for pattern classification. - George A. Papakostas; Vassilis G. Kaburlasos (FUZZ-IEEE, 2014)

A proposal of Texture Features for interactive CTA Segmentation by Active Learning. - Josu Maiora; George A. Papakostas; Vassilis G. Kaburlasos; Manuel Graña (InMed, 2014)

Efficient data classification by GPU-accelerated linear mean squared slack minimization. - George A. Papakostas; Konstantinos I. Diamantaras (MLSP, 2014)

Moment-based local image watermarking via genetic optimization. - George A. Papakostas; E. D. Tsougenis; Dimitris E. Koulouriotis (Appl. Math. Comput., 2014)

Adaptive color image watermarking by the use of quaternion image moments. - E. D. Tsougenis; George A. Papakostas; Dimitris E. Koulouriotis; Evangelos G. Karakasis (Expert Syst. Appl., 2014)

Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition. - Stelios E. Papadakis; Vassilis G. Kaburlasos; George A. Papakostas (J. Multiple Valued Log. Soft Comput., 2014)

A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants. - Evangelos G. Karakasis; George A. Papakostas; Dimitris E. Koulouriotis; Vassilios D. Tourassis (IEEE Trans. Image Process., 2014)

Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. - George A. Papakostas; Elpiniki I. Papageorgiou; Vassilis G. Kaburlasos (FUZZ-IEEE, 2015)

Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications. - Vassilis G. Kaburlasos; George A. Papakostas (IEEE Comput. Intell. Mag., 2015)

A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data. - George A. Papakostas; Alexandre Savio; Manuel Graña; Vassilis G. Kaburlasos (Neurocomputing, 2015)

Image watermarking via separable moments. - E. D. Tsougenis; George A. Papakostas; Dimitris E. Koulouriotis (Multim. Tools Appl., 2015)

Improving the Recognition Performance of Moment Features by Selection. - George A. Papakostas (Feature Selection for Data and Pattern Recognition, 2015)

Airfare prices prediction using machine learning techniques. - Konstantinos Tziridis; Th. Kalampokas; George A. Papakostas; Kostas I. Diamantaras (EUSIPCO, 2017)

Emerging Trends in Machine Learning for Signal Processing. - George A. Papakostas; Konstantinos I. Diamantaras; Francesco A. N. Palmieri (Comput. Intell. Neurosci., 2017)

Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. - George A. Papakostas; Konstantinos I. Diamantaras; Theophilos Papadimitriou (J. Parallel Distributed Comput., 2017)

Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers. - George A. Papakostas; Vassilis G. Kaburlasos (FUZZ-IEEE, 2018)

Gender identification through facebook data analysis using machine learning techniques. - Polixeni Kiratsa; George K. Sidiropoulos; E. V. Badeka; Cristina I. Papadopoulou; A. P. Nikolaou; George A. Papakostas (PCI, 2018)

Identifying Needs of Robotic and Technological Solutions for the Classroom. - 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; et al. (SoftCOM, 2018)

Social Robot Selection: A Case Study in Education. - George A. Papakostas; Athanasios K. Strolis; Fotis Panagiotopoulos; Charalabos N. Aitsidis (SoftCOM, 2018)

Open-Source Robotics: Investigation on Existing Platforms and Their Application in Education. - Eleni Vrochidou; Michail Manios; George A. Papakostas; Charalabos N. Aitsidis; Fotis Panagiotopoulos (SoftCOM, 2018)

Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy. - Eleni Vrochidou; Aouatif Najoua; Chris Lytridis; Michail Salonidis; Vassilios Ferelis; George A. Papakostas (SoftCOM, 2018)

Adversarial computer vision: a current snapshot. - T. Maliamanis; George A. Papakostas (ICMV, 2019)

Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors. - Eftichia Badeka; Theofanis Kalampokas; Konstantinos Tziridis; Alexander Nicolaou; Eleni Vrochidou; Efthimia Mavridou; George A. Papakostas; Theodore P. Pachidis (ICVS, 2019)

Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques. - Chris Lytridis; Eleni Vrochidou; George K. Sidiropoulos; George A. Papakostas; Vassilis G. Kaburlasos; Efi Kourampa; Elpida Karageorgiou (IISA, 2019)

On Measuring Engagement Level During Child-Robot Interaction in Education. - Chris Lytridis; Christos Bazinas; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2019)

Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). - Vasiliki Holeva; Vasiliki-Aliki Nikopoulou; Maria Papadopoulou 004; Eleni Vrochidou; George A. Papakostas; Vassilis G. Kaburlasos (ICSR, 2019)

Machine Vision Systems in Precision Agriculture for Crop Farming. - Efthimia Mavridou; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (J. Imaging, 2019)

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. - Theofanis Kalampokas; Konstantinos Tziridis; Alexandros Nikolaou; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (EANN, 2020)

Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems. - 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 (HAICTA, 2020)

DOME-T: adversarial computer vision attack on deep learning models based on Tchebichef image moments. - T. Maliamanis; George A. Papakostas (ICMV, 2020)

Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. - Eleni Vrochidou; George A. Papakostas; Vassilis G. Kaburlasos (ICMV, 2020)

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. - 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; et al. (IJCNN, 2020)

Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing. - Eftichia Badeka; Eleni Vrochidou; Konstantinos Tziridis; Alexander Nicolaou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (IEEE Conf. on Intelligent Systems, 2020)

Performance Evaluation of Convolutional Neural Networks for Gait Recognition. - Kyriakos Apostolidis; Petros Amanatidis; George A. Papakostas (PCI, 2020)

Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper. - Rafaela Efstratiou; Charalambos Karatsioras; Maria Papadopoulou 004; Cristina I. Papadopoulou; Chris Lytridis; Christos Bazinas; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2020)

Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study. - George K. Sidiropoulos; Christos Bazinas; Chris Lytridis; George A. Papakostas; Vassilis G. Kaburlasos; Petros Kechayas; Efi Kourampa; Sotirianna Rafaela Katsi; Charalambos Karatsioras (RiE, 2020)

Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. - Chris Lytridis; Cristina I. Papadopoulou; George A. Papakostas; Vassilis G. Kaburlasos; Vasiliki-Aliki Nikopoulou; Maria Dialechti Kerasidou; Nikolaos Dalivigkas (SoftCOM, 2020)

Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot. - Theodore P. Pachidis; Christos Sgouros; Vassilis G. Kaburlasos; Eleni Vrochidou; Theofanis Kalampokas; Konstantinos Tziridis; Alexandros Nikolaou; George A. Papakostas (SoftCOM, 2020)

Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media. - George A. Papakostas; John W. Nolan; Athanasios C. Mitropoulos (Algorithms, 2020)

Predictive Maintenance - Bridging Artificial Intelligence and IoT. - Gerasimos G. Samatas; Seraphim S. Moumgiakmas; George A. Papakostas (AIIoT, 2021)

Remote Crop Sensing with IoT and AI on the Edge. - Panagiotis Savvidis; George A. Papakostas (AIIoT, 2021)

Machine Biometrics - Towards Identifying Machines in a Smart City Environment. - George K. Sidiropoulos; George A. Papakostas (AIIoT, 2021)

Texture Analysis for Machine Learning Based Marble Tiles Sorting. - George K. Sidiropoulos; Athanasios G. Ouzounis; George A. Papakostas; Ilias T. Sarafis; Andreas Stamkos; George Solakis (CCWC, 2021)

EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments. - Konstantinos Tziridis; Theofanis Kalampokas; George A. Papakostas (CCWC, 2021)

Interpretable Deep Learning for Marble Tiles Sorting. - Athanasios G. Ouzounis; George K. Sidiropoulos; George A. Papakostas; Ilias T. Sarafis; Andreas Stamkos; George Solakis (DeLTA, 2021)

Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment. - Kyriakos D. Apostolidis; Theodore Polyzos; Ioannis Grigoriadis; George A. Papakostas (ICSPIS, 2021)

Machine Learning Meets Natural Language Processing - The Story so Far. - Nikolaos-Ioannis Galanis; Panagiotis Vafiadis; Kostas-Gkouram Mirzaev; George A. Papakostas (AIAI, 2021)

Moment Transform-Based Compressive Sensing in Image Processing. - Theofanis Kalampokas; George A. Papakostas (IWSSIP, 2021)

Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities. - Elpida Karageorgiou; Efrosyni Kourampa; Athanasia-Tania Papanikolaou; Petros Kechayas; Eleftheria Avramidou; Rafailia-Androniki Sabri; Chris Lytridis; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2021)

A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education. - Chris Lytridis; Vassilis G. Kaburlasos; Christos Bazinas; George A. Papakostas; Christina I. Papadopoulou; Vasiliki-Aliki Nikopoulou (SoftCOM, 2021)

Grape stem detection using regression convolutional neural networks. - Theofanis Kalampokas; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (Comput. Electron. Agric., 2021)

Machine learning for cloud resources management - An overview. - V. N. Tsakalidou; Pavlina Mitsou; George A. Papakostas (CoRR, 2021)

Computer Vision for Fire Detection on UAVs - From Software to Hardware. - Seraphim S. Moumgiakmas; Gerasimos G. Samatas; George A. Papakostas (Future Internet, 2021)

Feature Extraction for Finger-Vein-Based Identity Recognition. - George K. Sidiropoulos; Polixeni Kiratsa; Petros Chatzipetrou; George A. Papakostas (J. Imaging, 2021)

MLOps - Definitions, Tools and Challenges. - Georgios Symeonidis; Evangelos Nerantzis; Apostolos Kazakis; George A. Papakostas (CCWC, 2022)

Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning. - Avraam Koufatzis; Eleni Vrochidou; George A. Papakostas (IWSSIP, 2022)

Performance Benchmarking of Visual Human Tracking Algorithms for UAVs. - Theofanis Kalampokas; George A. Papakostas; Vassilios Chatzis; Stelios Krinidis (PCI, 2022)

Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants. - Nikolaos-Ioannis Galanis; Panagiotis Vafiadis; Kostas-Gkouram Mirzaev; George A. Papakostas (Algorithms, 2022)

On Predicting Soccer Outcomes in the Greek League Using Machine Learning. - Marios-Christos Malamatinos; Eleni Vrochidou; George A. Papakostas (Comput., 2022)

Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces. - Seraphim S. Moumgiakmas; George A. Papakostas (Comput., 2022)

Fsmpy: A Fuzzy Set Measures Python Library. - George K. Sidiropoulos; Kyriakos D. Apostolidis; Nikolaos Damianos; George A. Papakostas (Inf., 2022)

Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study. - George K. Sidiropoulos; Nikolaos Diamianos; Kyriakos D. Apostolidis; George A. Papakostas (Inf., 2022)

Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. - Kyriakos D. Apostolidis; George A. Papakostas (J. Imaging, 2022)

Hand-Crafted and Learned Feature Aggregation for Visual Marble Tiles Screening. - George K. Sidiropoulos; Athanasios G. Ouzounis; George A. Papakostas; Anastasia Lampoglou; Ilias T. Sarafis; Andreas Stamkos; George Solakis (J. Imaging, 2022)

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. - Chris Lytridis; Vassilis G. Kaburlasos; Christos Bazinas; George A. Papakostas; George K. Sidiropoulos; Vasiliki-Aliki Nikopoulou; Vasiliki Holeva; Maria Papadopoulou 004; Athanasios Evangeliou (Sensors, 2022)

Biometrics: Going 3D. - Gerasimos G. Samatas; George A. Papakostas (Sensors, 2022)

On 3D Reconstruction Using RGB-D Cameras. - Kyriaki A. Tychola; Ioannis Tsimperidis; George A. Papakostas (Digit., 2022)

Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection. - Eleni Vrochidou; George K. Sidiropoulos; Ioannis Tsimperidis; Athanasios G. Ouzounis; Ilias T. Sarafis; Vassilis Kalpakis; Andreas Stamkos; George A. Papakostas (AIIoT, 2023)

Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges. - Eleftherios Batzolis; Eleni Vrochidou; George A. Papakostas (CCWC, 2023)

EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning. - Chrisa Samara; Eleni Vrochidou; George A. Papakostas (SoftCOM, 2023)

Image Encryption via Base-n PRNGs and Parallel Base-n S-Boxes. - Mohamed Gabr; Rimon Elias; Khalid M. Hosny; George A. Papakostas; Wassim Alexan (IEEE Access, 2023)

Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review. - Khalid M. Hosny; Doaa Elshoura; Ehab R. Mohamed; Eleni Vrochidou; George A. Papakostas (IEEE Access, 2023)

Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern. - Khalid M. Hosny; Walaa M. El-Hady; Farid M. Samy; Eleni Vrochidou; George A. Papakostas (IEEE Access, 2023)

A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques. - Theofanis Kalampokas; Konstantinos Tziridis; Nikolaos Kalampokas; Alexandros Nikolaou; Eleni Vrochidou; George A. Papakostas (IEEE Access, 2023)

The Way We Type Reveals Our Native Language. - Ioannis Tsimperidis; Denitsa Grunova; George A. Papakostas (IEEE Access, 2023)

COVID-19 Imposes Rethinking of Conferencing - Environmental Impact Assessment of Artificial Intelligence Conferences. - Pavlina Mitsou; Nikoleta-Victoria Tsakalidou; Eleni Vrochidou; George A. Papakostas (CoRR, 2023)

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. - Konstantinos Filippou; George Aifantis; George A. Papakostas; George E. Tsekouras (Inf., 2023)

Performance benchmark of deep learning human pose estimation for UAVs. - Theofanis Kalampokas; Stelios Krinidis; Vassilios Chatzis; George A. Papakostas (Mach. Vis. Appl., 2023)

Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures. - Georgios D. Karatzinis; Nikolaos A. Apostolikas; Yiannis S. Boutalis; George A. Papakostas (Int. J. Fuzzy Syst., 2023)

Connecting national flags - a deep learning approach. - Theofanis Kalampokas; Dimitrios Mentizis; Eleni Vrochidou; George A. Papakostas (Multim. Tools Appl., 2023)

Automatic Facial Palsy Detection - From Mathematical Modeling to Deep Learning. - Eleni Vrochidou; Vladan Papic; Theofanis Kalampokas; George A. Papakostas (Axioms, 2023)

Reverse Circular Logarithmic LBP for Diabetic Foot Ulcer Detection. - Vasileios Alevizos; Nikolaos A. Apostolikas; Ingkli Boja; George A. Papakostas (AIIIMA, 2024)

Deep Learning for Cattle Face Identification. - Sinan Dede; Eleni Vrochidou; Venetis Kanakaris; George A. Papakostas (DeLTA (2), 2024)

Unraveling the Potential of AI Towards Digital and Green Transformation in Kiwifruit Farming. - Theofanis Kalampokas; Eleni Vrochidou; Maria Tzampazaki; George A. Papakostas (SoftCOM, 2024)

Social Robots in Education: To Select or Not to Select a Robot for a Teaching Subject at an Educational Level? - Maria T. Papadopoulou; Eleni Vrochidou; George A. Papakostas (SoftCOM, 2024)

Logarithmic Positional Partition Interval Encoding. - Vasileios Alevizos; Nikitas Gerolimos; Sabrina Edralin; Clark Xu; Akebu Simasiku; Georgios Priniotakis; George A. Papakostas; Zongliang Yue (CoRR, 2024)

Integrating Artificial Open Generative Artificial Intelligence into Software Supply Chain Security. - Vasileios Alevizos; George A. Papakostas; Akebu Simasiku; Dimitra Malliarou; Antonis Messinis; Sabrina Edralin; Clark Xu; Zongliang Yue (CoRR, 2024)

IKDD: A Keystroke Dynamics Dataset for User Classification. - Ioannis Tsimperidis; Olga-Dimitra Asvesta; Eleni Vrochidou; George A. Papakostas (Inf., 2024)

Deep learning based computer vision under the prism of 3D point clouds: a systematic review. - Kyriaki A. Tychola; Eleni Vrochidou; George A. Papakostas (Vis. Comput., 2024)

Agile MLOps: Bridging the Gap Between Agility and Machine Learning Operations. - Aikaterini Vouta Papageorgiou; Georgios Symeonidis; Evangelos Nerantzis; George A. Papakostas (AIAI (3), 2025)

Systematic Review on Sustainable Design Thinking Through Biomimetic Approach. - Vasileios Alevizos; Nikitas Gerolimos; Sabrina Edralin; Clark Xu; Akebu Simasiku; Georgios Priniotakis; George A. Papakostas; Zongliang Yue (ICAIIC, 2025)

A vision-based pruning algorithm for cherry tree structure elements segmentation and exact pruning points determination. - Axios Kefalas; Theofanis Kalampokas; Eleni Vrochidou; George A. Papakostas (Comput. Electron. Agric., 2025)

AI-Powered Software Development: A Systematic Review of Recommender Systems for Programmers. - Efthimia Mavridou; Eleni Vrochidou; Theofanis Kalampokas; Venetis Kanakaris; George A. Papakostas (Comput., 2025)

Optimizing Carbon Footprint in ICT through Swarm Intelligence with Algorithmic Complexity. - Vasileios Alevizos; Nikitas Gerolimos; Sabrina Edralin; Clark Xu; Akebu Simasiku; Georgios Priniotakis; George A. Papakostas; Zongliang Yue (CoRR, 2025)

Autonomous Decision-Making Enhancing Natural Disaster Management through Open World Machine Learning: A Systematic Review. - Nikitas Gerolimos; Vasileios Alevizos; Sabrina Edralin; Clark Xu; Georgios Priniotakis; George A. Papakostas; Zongliang Yue (Hum. Centric Intell. Syst., 2025)

The potential of Large Language Models for social robots in special education. - Evdokia Voultsiou; Eleni Vrochidou; Lefteris Moussiades; George A. Papakostas (Prog. Artif. Intell., 2025)