Georgios Th. Papadopoulos

Orcid: 0000-0003-1686-421X

Affiliations:
  • Harokopio University of Athens, Department of Informatics and Telematics, Greece


According to our database1, Georgios Th. Papadopoulos authored at least 89 papers between 2006 and 2025.

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Bibliography

2025
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems.
IEEE Trans. Netw. Serv. Manag., August, 2025

Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation.
CoRR, July, 2025

Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions.
CoRR, July, 2025

Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models.
CoRR, June, 2025

X-ray illicit object detection using hybrid CNN-transformer neural network architectures.
CoRR, May, 2025

Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions.
Artif. Intell. Rev., April, 2025

Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond.
CoRR, March, 2025

State of play and future directions in industrial computer vision AI standards.
CoRR, March, 2025

TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency.
CoRR, February, 2025

Applied Federated Model Personalization in the Industrial Domain: A Comparative Study.
IEEE Open J. Commun. Soc., 2025

Self-supervised visual learning in the low-data regime: A comparative evaluation.
Neurocomputing, 2025

Resource Efficient Federated LoRaWAN Architecture for Far-Edge IoT Applications.
IEEE Access, 2025

Survey on Hand Gesture Recognition From Visual Input.
IEEE Access, 2025

Public Space Security Management Using Digital Twin Technologies.
Proceedings of the 25th International Conference on Digital Signal Processing, 2025

2024

Neural natural language processing for long texts: A survey on classification and summarization.
Eng. Appl. Artif. Intell., 2024

Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study.
CoRR, 2024

CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking.
CoRR, 2024

Self-supervised visual learning in the low-data regime: a comparative evaluation.
CoRR, 2024

Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study.
CoRR, 2024

Illicit object detection in X-ray images using Vision Transformers.
CoRR, 2024

Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions.
IEEE Access, 2024

Distributed Maze Exploration Using Multiple Agents and Optimal Goal Assignment.
IEEE Access, 2024

Multi-robot maze exploration using an efficient cost-utility method.
Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment.
Proceedings of the IEEE International Conference on Big Data, 2024

Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange.
Proceedings of the IEEE International Conference on Big Data, 2024

A Secure and Trustworthy Biometric Data Ecosystem for Cross-border Suspect Identification.
Proceedings of the IEEE International Conference on Big Data, 2024

Entity Extraction from High-Level Corruption Schemes via Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2024


AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks.
Proceedings of the IEEE International Conference on Big Data, 2024

Privacy-Preserving Energy Recommendations Using Federated Learning and Local LLMs on the Edge.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2024

2023
Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence.
ERCIM News, 2023

Illicit item detection in X-ray images for security applications.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Investigating Visual Analytics against Terrorist Financing in Dark Web Marketplaces.
Proceedings of the IEEE International Conference on Big Data, 2023

Visual inspection for illicit items in X-ray images using Deep Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

Self-supervised visual learning for analyzing firearms trafficking activities on the Web.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition.
IEEE Trans. Multim., 2022

User Profile-Driven Large-Scale Multi-agent Learning from Demonstration in Federated Human-Robot Collaborative Environments.
Proceedings of the Human-Computer Interaction. Technological Innovation, 2022

2021
Towards Open and Expandable Cognitive AI Architectures for Large-Scale Multi-Agent Human-Robot Collaborative Learning.
IEEE Access, 2021

2020


Deep sensorimotor learning for RGB-D object recognition.
Comput. Vis. Image Underst., 2020

A Comprehensive Study on Sign Language Recognition Methods.
CoRR, 2020

Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Reliability Object Layer for Deep Hashing-Based Visual Indexing.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Incorporating Textual Similarity in Video Captioning Schemes.
Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2019

Deep Spatio-Temporal Modeling for Object-Level Gaze-Based Relevance Assessment.
Proceedings of the 27th European Signal Processing Conference, 2019

Cross-domain Knowledge Transfer Schemes for 3D Human Action Recognition.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Human Action Recognition Using 3D Reconstruction Data.
IEEE Trans. Circuits Syst. Video Technol., 2018

Attention-Enhanced Sensorimotor Object Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep 3D Flow Features for Human Action Recognition.
Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017
Global Flow and Temporal-Shape Descriptors for Human Action Recognition from 3D Reconstruction Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Incorporation of semantic segmentation information in deep hashing techniques for image retrieval.
Proceedings of the International Conference on Engineering, Technology and Innovation, 2017

Deep Affordance-Grounded Sensorimotor Object Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


2016
Deep cross-layer activation features for visual recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014
Gaze-Based Relevance Feedback for Realizing Region-Based Image Retrieval.
IEEE Trans. Multim., 2014

Real-Time Skeleton-Tracking-Based Human Action Recognition Using Kinect Data.
Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Local descriptions for human action recognition from 3D reconstruction data.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Image Interpretation by Combining Ontologies and Bayesian Networks.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

2011
Evidence-Driven Image Interpretation by Combining Implicit and Explicit Knowledge in a Bayesian Network.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Joint modality fusion and temporal context exploitation for semantic video analysis.
EURASIP J. Adv. Signal Process., 2011

A comparative study of object-level spatial context techniques for semantic image analysis.
Comput. Vis. Image Underst., 2011

Knowledge-Driven Segmentation and Classification.
Proceedings of the Multimedia Semantics: Metadata, Analysis and Interaction, 2011

2010
A System for the Semantic Multimodal Analysis of News Audio-Visual Content.
EURASIP J. Adv. Signal Process., 2010

A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Probabilistic combination of spatial context with visual and co-occurrence information for semantic image analysis.
Proceedings of the International Conference on Image Processing, 2010

2009
Statistical Motion Information Extraction and Representation for Semantic Video Analysis.
IEEE Trans. Circuits Syst. Video Technol., 2009

Comparative evaluation of spatial context techniques for semantic image analysis.
Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009

Integrating Image Segmentation and Classification for Fuzzy Knowledge-Based Multimedia Indexing.
Proceedings of the Advances in Multimedia Modeling, 2009

An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Combining multimodal and temporal contextual information for semantic video analysis.
Proceedings of the International Conference on Image Processing, 2009

2008
A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis.
Proceedings of the Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008



Semantic Video Analysis Based on Estimation and Representation of Higher-Order Motion Statistics.
Proceedings of the Third International Workshop on Semantic Media Adaptation and Personalization, 2008

Estimation and representation of accumulated motion characteristics for semantic event detection.
Proceedings of the International Conference on Image Processing, 2008

Accumulated motion energy fields estimation and representation for semantic event detection.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

Knowledge-assisted cross-media analysis of audio-visual content in the news domain.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2007
Combining Global and Local Information for Knowledge-Assisted Image Analysis and Classification.
EURASIP J. Adv. Signal Process., 2007


Ontology-Driven Semantic Video Analysis Using Visual Information Objects.
Proceedings of the Semantic Multimedia, 2007

Knowledge-based Semantic Annotation and Retrieval of Multimedia Content.
Proceedings of the Poster and Demo Proceedings of the 2nd International Conference on Semantic and Digital Media Technologies, 2007

Combining content and context information for semantic image analysis and classification.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Knowledge-Assisted Image Analysis Based on Context and Spatial Optimization.
Int. J. Semantic Web Inf. Syst., 2006

Semantic Image Analysis Using a Learning Approach and Spatial Context.
Proceedings of the Semantic Multimedia, 2006

Using Context and a Genetic Algorithm for Knowledge Assisted Image Analysis.
Proceedings of the Poster and Demo Proceedings of the 1st International Conference on Semantic and Digital Media Technologies, 2006

A learning approach to semantic image analysis.
Proceedings of the 2nd International Conference on Mobile Multimedia Communications, 2006


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