2024
Total: 5 (#Journals: 4, #Conferences: 1, #Book Chapters: 0, #Books: 0)
EEG Channel Selection for Epileptic Seizure Prediction
M. Marinis, E. Vrochidou, and G.A. Papakostas
Proceedings of 2024 Panhellenic Conference on Electronics & Telecommunications (PACET), pp. 1-4, Thessaloniki, Greece
Big Data as a Reform Opportunity for Public Sector and Real Economy: The Case of Greece
S. Lotsis, I. Georgousis, and G.A. Papakostas
F1000Research, vol. 2024, no. 13, p. 234
Machine Vision—Moving from Industry 4.0 to Industry 5.0
M. Tzampazaki, C. Zografos, E. Vrochidou, and G.A. Papakostas
Applied Sciences, vol. 14, no. 4, p. 1471
Computer Vision Meets Metaverse
V. Zakynthinou, V, Kanakaris, E. Vrochidou, and G.A. Papakostas
Metaverse, vol. 5, no. 1, p. 2464
Deep Learning based Computer Vision under the Prism of 3D Point Clouds: A Systematic Review
K.A. Tychola, E. Vrochidou, and G.A. Papakostas
The Visual Computer, vol. 40
2023
Total: 32 (#Journals: 15, #Conferences: 10, #Book Chapters: 4, #Books: 3)
Fourth International Conference on Image Processing and Capsule Networks
S. Shakya, J.M.R.S. Tavares, A. Fernández-Caballero, and G.A. Papakostas (eds.)
Proceedings of ICIPCN 2023, Springer Singapore
Visual Recognition of Food Ingredients: A Systematic Review
M. Marinis, E. Georgakoudis, E. Vrochidou, and G.A. Papakostas
Editor(s): Papakostas, G.A., In Computer Vision - Annual Volume 2023. IntechOpen.
Traffic Sign Recognition Robustness in Autonomous Vehicles Under Physical Adversarial Attacks
K.D. Apostolidis, E.V. Gkouvrikos, E. Vrochidou, and G.A. Papakostas
Editor(s): Daimi, K., Alsadoon, A., Coelho, L., In Cutting Edge Applications of Computational Intelligence Tools and Techniques. Studies in Computational Intelligence, vol 1118. Springer, Cham.
Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning
E. Vrochidou, V. Papić, T. Kalampokas, and G.A. Papakostas
Axioms, vol. 12, no. 12, p.1091
Finding the Age and Education Level of Bulgarian-Speaking Internet Users Using Keystroke Dynamics
D. Grunova and I. Tsimperidis
Eng, vol. 4, no. 4, p. 2711-2721
Machine Learning Robustness in Predictive Maintenance Under Adversarial Attacks
N. Dionisopoulos, E. Vrochidou, and G.A. Papakostas
Proceedings of Congress on Control, Robotics, and Mechatronics. CRM 2023, pp. 245–254, Kota, India
RGB and Thermal Image Analysis for Marble Crack Detection with Deep Learning
E. Vrochidou, G.K. Sidiropoulos, A.G. Ouzounis, I. Tsimperidis, I.T. Sarafis, V. Kalpakis, A. Stamkos, and G.A. Papakostas
Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics, pp. 427–438, New Delhi, India
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning
C. Samara, E. Vrochidou, and G.A. Papakostas
Proceedings of 2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1-7, Split, Croatia
Inventive Communication and Computational Technologies
G. Ranganathan, G.A. Papakostas, and Á. Rocha (eds.)
Proceedings of ICICCT 2023, Springer Singapore
Tactile IoT and 5G & Beyond Schemes as Key Enabling Technologies for the Future Metaverse
K.A. Tychola, K. Voulgaridis, and T. Lagkas
Telecommunication Systems, vol. 2023
The Way we Type Reveals our Native Language
I. Tsimperidis, D. Grunova, and G.A. Papakostas
IEEE Access, vol. 11, p. 98191 - 98201
Performance Benchmark of Deep Learning Human Pose Estimation for UAVs
T. Kalampokas, S. Krinidis, V. Chatzis, and G.A. Papakostas
Machine Vision and Applications, vol. 34, p. 97
Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review
K.M. Hosny, D. Elshora, E.R. Mohamed, E. Vrochidou, and G.A. Papakostas
IEEE Access, vol. 11, p. 85467 - 85488
Image Encryption via Base-n PRNGs and Parallel Base-n S-boxes
M. Gabr, R. Elias, K. Hosny, G.A. Papakostas, and W. Alexan
IEEE Access, vol. 11, p. 85002 - 85030
Leveraging Computer Vision for Precision Viticulture
E. Vrochidou and G.A. Papakostas
Editor(s): Bansal, J.C., Uddin, M.S., In Computer Vision and Machine Learning in Agriculture, Volume 3. Algorithms for Intelligent Systems. Springer, Singapore, pp. 177-213.
Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection
E. Vrochidou, G.K. Sidiropoulos, I. Tsimperidis, A.G. Ouzounis, I.T. Sarafis, V. Kalpakis, A. Stamkos, and G.A. Papakostas
Proceedings of 2023 IEEE World AI IoT Congress (AIIoT), pp. 0243-0249, Seattle, WA, USA
Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures
G.D. Karatzinis, N.A. Apostolikas, Y.S. Boutalis, and G.A. Papakostas
International Journal of Fuzzy Systems, vol. 2023
Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern
K.M. Hosny, W.M. El-Hady, F.M. Samy, E. Vrochidou, and G.A. Papakostas
IEEE Access, vol. 11, p. 62307-62317
Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges
E. Batzolis, E. Vrochidou, G.A. Papakostas
Proceedings of 13th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0345-0350, Las Vegas, NV, USA
Mobile Computing and Sustainable Informatics
S. Shakya, G.A. Papakostas, and K.A. Kamel (eds.)
Lecture Notes on Data Engineering and Communications Technologies, vol. 166, Springer Singapore
Quantum Machine Learning - An Overview
K.A. Tychola, T. Kalampokas, and G.A. Papakostas
Electronics, vol. 12, no. 11, p. 2379
Cancer Classification from High-Dimensional Multi-omics Data Using Convolutional Neural Networks, Recurrence Plots, and Wavelet-Based Image Fusion
S. Tsimenidis and G.A. Papakostas
Proceedings of Third Congress on Intelligent Systems, pp. 495-509, Bengaluru, India
A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques
T. Kalampokas, K. Tziridis, N. Kalampokas, A. Nikolaou, E. Vrochidou, and G.A. Papakostas
IEEE Access, vol. 11, pp. 46627-46643
Exploiting Deep Learning for Overlapping Chromosome Segmentation
A. Nikolaou and G.A. Papakostas
Computer Vision and Robotics. Algorithms for Intelligent Systems
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Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline
K. Filippou, G. Aifantis, G.A. Papakostas, and G.E. Tsekouras
Information, vol. 14, no. 4, p. 232
Quantum Image Analysis – Status and Perspectives
K. Tziridis, T. Kalampokas, and G.A. Papakostas
Chapter 6 - Editor(s): El-Sayed M. El-Alfy, George Bebis, Mengchu Zhou, In Intelligent Image and Video Analytics, Taylor & Francis Group, 2023, 48 Pages, ISBN 9781003053262
Performance Benchmarking of Visual Human Tracking Algorithms for UAVs
T. Kalampokas, G.A. Papakostas, V. Chatzis, and S. Krinidis
Proceedings of the 26th Pan-Hellenic Conference on Informatics, pp. 1–7, Athens, Greece
Connecting National Flags – A Deep Learning Approach
T. Kalampokas, D. Mentizis, E. Vrochidou, and G.A. Papakostas
Multimedia Tools and Applications (2023)
Infant Crying Patterns’ Analysis Using Machine Learning
V.-N. Tsakalidou, E. Vrochidou, and G.A. Papakostas
Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems, pp. 671–680
Identifying Historic Buildings over Time through Image Matching
K.A. Tychola, S. Chatzistamatis, E. Vrochidou, G.E. Tsekouras, and G.A. Papakostas
Technologies, vol. 11, no. 1, p. 32
Reinforcement Learning in Game Industry - Review, Prospects and Challenges
K. Souchleris, G.K. Sidiropoulos, and G.A. Papakostas
Applied Sciences, vol. 13, no. 4, p. 2443
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Machine Learning as a Service (MLaaS) - An Enterprise Perspective
I. Grigoriadis, E. Vrochidou, I. Tsiatsiou, G.A. Papakostas
Proceedings of International Conference on Data Science and Applications, pp. 261-273, Kolkata, India
2022
Total: 25 (#Journals: 17, #Conferences: 8, #Book Chapters: 0, #Books: 0)
The Effects of Fully Connected Layers Adjustment for Lightweight Convolutional Neural Networks
E. Nerantzis, A. Kazakis, G. Symeonidis, and G.A. Papakostas
2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), pp. 50-57, Sakheer, Bahrain
Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants
N.-I. Galanis, P. Vafiadis, K.-G. Mirzaev, and G.A. Papakostas
Algorithms, vol. 15, no. 11, p. 391
Machine Learning for Cloud Resources Management—An Overview
V.N. Tsakalidou, P. Mitsou, and G.A. Papakostas
Computer Networks and Inventive Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 141, pp. 903-915
Omics Data and Data Representations for Deep Learning-Based Predictive Modeling
S. Tsimenidis, E. Vrochidou, and G.A. Papakostas
International Journal of Molecular Science, vol. 23 no. 20, p. 12272
Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning
E. Vrochidou, G.K. Sidiropoulos, A.G. Ouzounis, A. Lampoglou, I. Tsimperidis, G.A. Papakostas, I.T. Sarafis, V. Kalpakis, and A. Stamkos
Electronics, vol. 11 no. 20, p. 3289
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How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA)
T.V. Maliamanis, K.D. Apostolidis, and G.A. Papakostas
Biomedicines, vol. 10 no. 10, p. 2545
On Predicting Soccer Outcomes in the Greek League Using Machine Learning
M.-C. Malamatinos, E. Vrochidou, and G.A. Papakostas
Computers, vol. 101 no. 9, p. 133
Biometrics: Going 3D
G.G. Samatas and G.A. Papakostas
Sensors, vol. 22, no. 17, p. 6364
An Update on Cooking Recipe Generation with Machine Learning and Natural Language Processing
N.-I. Galanis and G.A. Papakostas
2022 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 739-744, Sonbhadra, India
Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning
A. Koufatzis, E. Vrochidou, and G.A. Papakostas
29th International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 1-4, Sofia, Bulgaria
On 3D Reconstruction Using RGB-D Cameras
K.A. Tychola, I. Tsimperidis, and G.A. Papakostas
Digital, vol. 2, no. 3, p. 401-423
Hand-Crafted and Learned Feature Aggregation for Visual Marble Tiles Screening
G.K. Sidiropoulos, A.G. Ouzounis, G.A. Papakostas, A. Lampoglou, I.T. Sarafis, A. Stamkos, and G. Solakis
Imaging, vol. 8, no. 7, p. 191
Machine Vision for Grape Cluster Quality Assessment
T. Kalampokas, E. Vrochidou, and G.A. Papakostas
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India
A Survey on Deep Learning for Building Load Forecasting
I. Patsakos, E. Vrochidou, and G.A. Papakostas
Mathematical Problems in Engineering, vol. 2022, Article ID 1008491
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning
K.D. Apostolidis and G.A. Papakostas
Imaging, vol. 8, no. 6, p. 155
MLOps - Definitions, Tools and Challenges
G. Symeonidis, E. Nerantzis, A. Kazakis, and G.A. Papakostas
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 453-460
Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study
G.K. Sidiropoulos, N. Diamianos, K.D. Apostolidis, and G.A. Papakostas
Information, vol. 13, no. 5, p. 235
Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces
S.S. Moumgiakmas and G.A. Papakostas
Computers, vol. 11, no. 5, p. 61
Computer Vision in Autoimmune Diseases Diagnosis — Current Status and Perspectives
V.N. Tsakalidou, P. Mitsou, and G.A. Papakostas
Computational Vision and Bio-Inspired Computing, pp. 571-586
Moment Transform-Based Compressive Sensing in Image Processing
T. Kalampokas and G.A. Papakostas
Systems, Signals and Image Processing, 96-107
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Inertial Measurement Units (IMUs) in Mobile Robots over the Last Five Years: A Review
G.G. Samatas and T.P. Pachidis
Designs, vol. 6, no. 1, p. 17
Computer Vision in Self-Steering Tractors
E. Vrochidou, D. Oustadakis, A. Kefalas, G.A. Papakostass
Machines, vol. 10, no. 2, p. 129
Fsmpy: A Fuzzy Set Measures Python Library
G.K. Sidiropoulos, K.D. Apostolidis, N. Damianos, and G.A. Papakostas
Information 2022, 13(2), p. 64
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Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques
C. Lytridis, V.G. Kaburlasos, C. Bazinas, G.A. Papakostas, G. Sidiropoulos, V.-A. Nikopoulou, V. Holeva, M. Papadopoulou, and A. Evangeliou
Sensors, vol. 22, no. 2, p. 621
Rheumatoid Arthritis Diagnosis: Deep Learning vs. Humane
G.P. Avramidis, M.P. Avramidou, and G.A. Papakostas
Applied Sciences, vol. 12, no. 1, p. 10
2021
Total: 27 (#Journals: 14, #Conferences: 12, #Book Chapters: 1, #Books: 0)
Computer Vision for Astronomical Image Analysis
S. Karypidou, I. Georgousis, and G.A. Papakostas
2021 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, pp. 94-101
Refined Color Texture Classification Using CNN and Local Binary Pattern
K.M Hosny, T. Magdy, N.A. Lashin, K. Apostolidis, and G.A. Papakostas
Mathematical Problems in Engineering, vol. 2021, Article ID 5567489
Evaluating Convolutional Neural Networks for No-Reference Image Quality Assessment
K.D. Apostolidis, T. Polyzos, I. Grigoriadis and G.A. Papakostas
4th International Conference on Signal Processing and Information Security (ICSPIS), pp. 68-71
Machine Learning in Discriminating Active Volcanoes of the Hellenic Volcanic Arc
A.G. Ouzounis and G.A. Papakostas
Applied Sciences, vol. 11, no. 18, p. 8318
Machine Vision for Ripeness Estimation in Viticulture Automation
E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T.P. Pachidis, and V.G. Kaburlasos
Horticulturae, vol. 7, no. 9, p. 282
A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis
K.D. Apostolidis, and G.A. Papakostas
Electronics, vol. 10, no. 17, p. 2132
Exploiting Deep Metric Learning for Mable Quality Assessment with Small and Imbalanced Image Data
G.K. Sidiropoulos, A.G. Ouzounis, G.A. Papakostas, I.T. Sarafis, A. Stamkos, V. Kalpakis and G. Solakis
IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),
pp. 0266-0269
Marble Quality Assessment with Deep Learning Regression
A.G. Ouzounis, G. Taxopoulos, G.A. Papakostas, I.T. Sarafis, A. Stamkos and G. Solakis
Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), pp. 1-5
Texture Analysis for Machine Learning Based Marble Tiles Sorting
G.K. Sidiropoulos, A.G. Ouzounis, G.A. Papakostas, I.T. Sarafis, A. Stamkos and G. Solakis,
IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0045-0051
Interpretable Deep Learning for Marble Tiles Sorting
Α. Ouzounis, G.K. Sidiropoulos, G.A. Papakostas, I.T. Sarafis, A. Stamkos and G. Solakis
2nd International Conference on Deep Learning Theory and Applications (DeLTA), pp. 101-108
EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments
K. Tziridis, T. Kalampokas and G.A. Papakostas,
IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0184-0190
On Machine-Learning Morphological Image Operators
N.S.T. Hirata and G.A. Papakostas
International Journal of Psychological and Mathematics, vol. 9, no. 16, p. 1854
Computer Vision for Fire Detection on UAVs—From Software to Hardware
S.S. Moumgiakmas, G.G. Samatas, and G.A. Papakostas
Future Internet, vol. 13, no. 8, p. 200
Vision-based Vineyard Trunk Detection and its Integration into a Grapes Harvesting Robot
E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G.A. Papakostas, T.P. Pachidis, V.G. Kaburlasos
International Journal of Mechanical Engineering and Robotics Research, vol. 10, no. 7, pp. 374-385
Machine Learning Meets Natural Language Processing - The Story so Far
N.-I. Galanis, P. Vafiadis, K.-G. Mirzaev and G.A. Papakostas
IFIP International Conference on Artificial Intelligence Applications and Innovations, pp.
673-686
Social Robots in Special Education: A Systematic Review
G.A. Papakostas, G.K. Sidiropoulos, C.I. Papadopoulou, E. Vrochidou, V.G. Kaburlasos, M.T. Papadopoulou, V. Holeva, V.-A. Nikopoulou, and N. Dalivigkas
Electronics, vol. 10, no. 12, p. 1398
Estimating Children Engagement Interacting with Robots in Special Education Using Machine Learning
G.A. Papakostas, G.K. Sidiropoulos, C. Lytridis, C. Bazinas, V.G. Kaburlasos, E. Kourampa, E. Karageorgiou, P. Kechayas and M.T. Papadopoulou
Mathematical Problems in Engineering, vol. 2021, Article ID 9955212, 10 pages
Grape stem detection using regression convolutional neural networks
Τ. Kalampokas, Е. Vrochidou, G.A. Papakostas, T. Pachidis, V.G. Kaburlasos
Computers and Electronics in Agriculture, vol. 186, p. 106220
Feature Extraction for Finger-Vein-Based Identity Recognition
G.K. Sidiropoulos, P. Kiratsa, P. Chatzipetrou, and G.A. Papakostas
Journal of Imaging, vol. 7, no. 5, p. 89
Brain Signals Classification Based on Fuzzy Lattice Reasoning
E. Vrochidou, C. Lytridis, C. Bazinas, G.A. Papakostas, H. Wagatsuma, and V.G. Kaburlasos
Mathematics, vol. 9, no. 9, p. 1063
An Autonomous Grape-Harvester Robot: Integrated System Architecture
E. Vrochidou, K. Tziridis, A. Nikolaou, T. Kalampokas, G.A. Papakostas, T.P. Pachidis, S. Mamalis, S. Koundouras, and V.G. Kaburlasos
Electronics, vol. 10, no. 9, p. 1056
New Image Encryption Algorithm Using Hyperchaotic System and Fibonacci Q-Matrix
K.M. Hosny, S.T. Kamal, M.M. Darwish, and G.A. Papakostas
Electronics, vol. 10, no. 9, p. 1066
Remote Crop Sensing with IoT and AI on the Edge
P. Savvidis and G.A. Papakostas
IEEE World AI IoT Congress (AIIoT), pp. 0048-0054
Predictive Maintenance - Bridging Artificial Intelligence and IoT
G.G. Samatas, S.S. Moumgiakmas and G.A. Papakostas
IEEE World AI IoT Congress (AIIoT), pp. 0413-0419
Machine Biometrics - Towards Identifying Machines in a Smart City Environment
G.K. Sidiropoulos and G.A. Papakostas
IEEE World AI IoT Congress (AIIoT), pp. 0197-0201
DOME-T: Adversarial Computer Vision Attack on Deep Learning Models Based on Tchebichef Image Moments
T. Maliamanis and G.A. Papakostas
Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050D
Machine Learning Vulnerability in Medical Imaging
T. Maliamanis and G.A. Papakostas
Chapter 3 - Editor(s): Pardeep Kumar, Yugal Kumar, Mohamed A. Tawhid,
In Intelligent Data-Centric Systems,
Machine Learning, Big Data, and IoT for Medical Informatics,
Academic Press,
2021,
Pages 53-70,
ISBN 9780128217771,