George A. Papakostas

Orcid: 0000-0001-5545-1499

According to our database1, George A. Papakostas authored at least 114 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
IKDD: A Keystroke Dynamics Dataset for User Classification.
Inf., September, 2024

2023
Automatic Facial Palsy Detection - From Mathematical Modeling to Deep Learning.
Axioms, December, 2023

Connecting national flags - a deep learning approach.
Multim. Tools Appl., October, 2023

Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures.
Int. J. Fuzzy Syst., October, 2023

Performance benchmark of deep learning human pose estimation for UAVs.
Mach. Vis. Appl., September, 2023

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline.
Inf., April, 2023

COVID-19 Imposes Rethinking of Conferencing - Environmental Impact Assessment of Artificial Intelligence Conferences.
CoRR, 2023

The Way We Type Reveals Our Native Language.
IEEE Access, 2023

A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques.
IEEE Access, 2023

Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern.
IEEE Access, 2023

Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review.
IEEE Access, 2023

Image Encryption via Base-n PRNGs and Parallel Base-n S-Boxes.
IEEE Access, 2023

EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning.
Proceedings of the International Conference on Software, 2023

Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022
On 3D Reconstruction Using RGB-D Cameras.
Digit., June, 2022

Biometrics: Going 3D.
Sensors, 2022

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.
Sensors, 2022

Hand-Crafted and Learned Feature Aggregation for Visual Marble Tiles Screening.
J. Imaging, 2022

Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning.
J. Imaging, 2022

Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study.
Inf., 2022

Fsmpy: A Fuzzy Set Measures Python Library.
Inf., 2022

Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces.
Comput., 2022

On Predicting Soccer Outcomes in the Greek League Using Machine Learning.
Comput., 2022

Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants.
Algorithms, 2022

Performance Benchmarking of Visual Human Tracking Algorithms for UAVs.
Proceedings of the 26th Pan-Hellenic Conference on Informatics, 2022

Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

MLOps - Definitions, Tools and Challenges.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021
Feature Extraction for Finger-Vein-Based Identity Recognition.
J. Imaging, 2021

Computer Vision for Fire Detection on UAVs - From Software to Hardware.
Future Internet, 2021

Machine learning for cloud resources management - An overview.
CoRR, 2021

Grape stem detection using regression convolutional neural networks.
Comput. Electron. Agric., 2021

A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education.
Proceedings of the International Conference on Software, 2021

Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities.
Proceedings of the Robotics in Education, 2021

Moment Transform-Based Compressive Sensing in Image Processing.
Proceedings of the Systems, Signals and Image Processing - 28th International Conference, 2021

Machine Learning Meets Natural Language Processing - The Story so Far.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment.
Proceedings of the 4th International Conference on Signal Processing and Information Security, 2021

Interpretable Deep Learning for Marble Tiles Sorting.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Texture Analysis for Machine Learning Based Marble Tiles Sorting.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Machine Biometrics - Towards Identifying Machines in a Smart City Environment.
Proceedings of the IEEE World AI IoT Congress, 2021

Remote Crop Sensing with IoT and AI on the Edge.
Proceedings of the IEEE World AI IoT Congress, 2021

Predictive Maintenance - Bridging Artificial Intelligence and IoT.
Proceedings of the IEEE World AI IoT Congress, 2021

2020
Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media.
Algorithms, 2020

Forward Kinematic Analysis of JACO<sup>2</sup> Robotic Arm Towards Implementing a Grapes Harvesting Robot.
Proceedings of the 28th International Conference on Software, 2020

Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach.
Proceedings of the 28th International Conference on Software, 2020

Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study.
Proceedings of the Robotics in Education - Methodologies and Technologies, Proceedings of the 11th RiE 2020, Virtual Event / Bratislava, Slovak Republic, September 30, 2020

Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper.
Proceedings of the Robotics in Education - Methodologies and Technologies, Proceedings of the 11th RiE 2020, Virtual Event / Bratislava, Slovak Republic, September 30, 2020

Performance Evaluation of Convolutional Neural Networks for Gait Recognition.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Real-time vineyard trunk detection for a grapes harvesting robot via deep learning.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

DOME-T: adversarial computer vision attack on deep learning models based on Tchebichef image moments.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems.
Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, 2020

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Machine Vision Systems in Precision Agriculture for Crop Farming.
J. Imaging, 2019

Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD).
Proceedings of the Social Robotics - 11th International Conference, 2019

On Measuring Engagement Level During Child-Robot Interaction in Education.
Proceedings of the Robotics in Education, 2019

Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques.
Proceedings of the 10th International Conference on Information, 2019

Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Adversarial computer vision: a current snapshot.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

2018
Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy.
Proceedings of the 26th International Conference on Software, 2018

Open-Source Robotics: Investigation on Existing Platforms and Their Application in Education.
Proceedings of the 26th International Conference on Software, 2018

Social Robot Selection: A Case Study in Education.
Proceedings of the 26th International Conference on Software, 2018

Identifying Needs of Robotic and Technological Solutions for the Classroom.
Proceedings of the 26th International Conference on Software, 2018

Gender identification through facebook data analysis using machine learning techniques.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm.
J. Parallel Distributed Comput., 2017

Emerging Trends in Machine Learning for Signal Processing.
Comput. Intell. Neurosci., 2017

Airfare prices prediction using machine learning techniques.
Proceedings of the 25th European Signal Processing Conference, 2017

2015
Improving the Recognition Performance of Moment Features by Selection.
Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

Image watermarking via separable moments.
Multim. Tools Appl., 2015

A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data.
Neurocomputing, 2015

Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications.
IEEE Comput. Intell. Mag., 2015

Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants.
IEEE Trans. Image Process., 2014

Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition.
J. Multiple Valued Log. Soft Comput., 2014

Adaptive color image watermarking by the use of quaternion image moments.
Expert Syst. Appl., 2014

Moment-based local image watermarking via genetic optimization.
Appl. Math. Comput., 2014

Efficient data classification by GPU-accelerated linear mean squared slack minimization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A proposal of Texture Features for interactive CTA Segmentation by Active Learning.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Lattice computing (LC) meta-representation for pattern classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2013

Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view.
Pattern Recognit. Lett., 2013

Generalized dual Hahn moment invariants.
Pattern Recognit., 2013

Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications.
Neurocomputing, 2013

Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Accurate reconstruction of noisy medical images using orthogonal moments.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Thermal infrared face recognition based on lattice computing (LC) techniques.
Proceedings of the FUZZ-IEEE 2013, 2013

Intervals' Numbers (INs) interpolation/extrapolation.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Performance evaluation of moment-based watermarking methods: A review.
J. Syst. Softw., 2012

A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems.
Int. J. Intell. Syst., 2012

Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems.
Expert Syst. Appl., 2012

A flexible nonlinear approach to represent cause-effect relationships in FCMs.
Appl. Soft Comput., 2012

2011
Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study.
Proceedings of the FUZZ-IEEE 2011, 2011

Nonlinear cause-effect relationships in Fuzzy Cognitive Maps.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Novel moment invariants for improved classification performance in computer vision applications.
Pattern Recognit., 2010

Accurate and speedy computation of image Legendre moments for computer vision applications.
Image Vis. Comput., 2010

Computation strategies of orthogonal image moments: A comparative study.
Appl. Math. Comput., 2010

A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification.
Proceedings of the Grid and Distributed Computing, Control and Automation, 2010

2009
Modified Factorial-Free Direct Methods for Zernike and Pseudo-Zernike Moment Computation.
IEEE Trans. Instrum. Meas., 2009

A unified methodology for the efficient computation of discrete orthogonal image moments.
Inf. Sci., 2009

Pattern classification by using improved wavelet Compressed Zernike Moments.
Appl. Math. Comput., 2009

2008
Efficient and accurate computation of geometric moments on gray-scale images.
Pattern Recognit., 2008

Fuzzy Cognitive Maps for Pattern Recognition Applications.
Int. J. Pattern Recognit. Artif. Intell., 2008

Numerical stability of fast computation algorithms of Zernike moments.
Appl. Math. Comput., 2008

2007
A new class of Zernike moments for computer vision applications.
Inf. Sci., 2007

Exact and Speedy Computation of Legendre Moments on Binary Images.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

2006
Numerical error analysis in Zernike moments computation.
Image Vis. Comput., 2006

2005
An exploration measure of the diversity variation in genetic algorithms.
Proceedings of the ICINCO 2005, 2005

2004
An LMI-Based Genetic Algorithm for Guaranteed Cost Control.
Proceedings of the ICINCO 2004, 2004

On the Reconstruction Performance of Compressed Orthogonal Moments.
Proceedings of the ICINCO 2004, 2004

2002
Image coding using a wavelet based Zernike moments compression technique.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2001
Robust multiple objective control by using LMI optimization.
Proceedings of the 6th European Control Conference, 2001


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