62 citations · 84 across the 14 of their papers we have counts for
15 papers
Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra
Charalampos Davalas, Georgios Levantinos, Anastasios Dimitriou +3
Raman spectroscopy generates large volumes of unlabeled data that are difficult to exploit with conventional supervised learning. This work introduces a multi-domain self-supervise…
Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
Spyridon Georgiou, Aggelos Psiris, Spyridon Evangelatos +5
Facial Expression Recognition (FER) has advanced rapidly over the last decade, driven by the shift from handcrafted descriptors and shallow classifiers to deep convolutional, atten…
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions
Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis +5
Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function…
Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding
Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2
Aerial imagery is critical for large-scale post-disaster damage assessment. Automated interpretation remains challenging due to clutter, visual variability, and strong cross-event…
FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations
Konstantinos Foteinos, Georgios Angelidis, Aggelos Psiris +3
The ever increasing intensity and number of disasters make even more difficult the work of First Responders (FRs). Artificial intelligence and robotics solutions could facilitate t…
Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response
Dimitrios Apostolakis, Georgios Angelidis, Vasileios Argyriou +2
A user-centered AR interface for disaster response is presented in this work that uses 3D Gaussian Splatting (3DGS) to visualize detailed scene reconstructions, while maintaining s…
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
Spyridon Evangelatos, Eleni Veroni, Vasilis Efthymiou +3
Counterfactual explanations have emerged as a prominent method in Explainable Artificial Intelligence (XAI), providing intuitive and actionable insights into Machine Learning model…
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
Ilias Siniosoglou, Vasileios Argyriou, George Fragulis +4
The time-consuming nature of training and deploying complicated Machine and Deep Learning (DL) models for a variety of applications continues to pose significant challenges in the…
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions
Panagiotis Alimisis, Ioannis Mademlis, Panagiotis Radoglou-Grammatikis +2
Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets…
CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking
Jorgen Cani, Ioannis Mademlis, Marina Mancuso +19
Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law…
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
Pavlos S. Bouzinis, Panagiotis Radoglou-Grammatikis, Ioannis Makris +5
Federated learning (FL) is a decentralized learning technique that enables participating devices to collaboratively build a shared Machine Leaning (ML) or Deep Learning (DL) model…
Illicit object detection in X-ray images using Vision Transformers
Jorgen Cani, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou +1
Illicit object detection is a critical task performed at various high-security locations, including airports, train stations, subways, and ports. The continuous and tedious work of…
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis +2
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement inve…
Visual inspection for illicit items in X-ray images using Deep Learning
Ioannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou +1
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers…
Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization
Dimitrios Tsirmpas, Ioannis Gkionis, Georgios Th. Papadopoulos +1
The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite…