activity
20182025
most citedThe evolution of argumentation mining: From models to social media and emerging tools

51 citations · 52 across the 8 of their papers we have counts for

collaborators

21 papers

cs.NI2025

Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications

Athanasios Tziouvaras, Carolina Fortuna, George Floros +4

Machine learning models deployed in non-stationary environments degrade silently, since as the input distribution drifts their accuracy decays without an error signal and without l…

cs.LG2025

A Representation Learning Approach to Feature Drift Detection in Wireless Networks

Athanasios Tziouvaras, Blaz Bertalanic, George Floros +3

AI is foreseen to be a centerpiece in next generation wireless networks enabling enabling ubiquitous communication as well as new services. However, in real deployment, feature dis…

cs.CR2025

Malware Detection in Docker Containers: An Image is Worth a Thousand Logs

Akis Nousias, Efklidis Katsaros, Evangelos Syrmos +7

Malware detection is increasingly challenged by evolving techniques like obfuscation and polymorphism, limiting the effectiveness of traditional methods. Meanwhile, the widespread…

cs.CV2025

State of play and future directions in industrial computer vision AI standards

Artemis Stefanidou, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou +3

The recent tremendous advancements in the areas of Artificial Intelligence (AI) and Deep Learning (DL) have also resulted into corresponding remarkable progress in the field of Com…

cs.CR2025

Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks

Christos Dalamagkas, Panagiotis Radoglou-Grammatikis, Pavlos Bouzinis +7

The ongoing electrification of the transportation sector requires the deployment of multiple Electric Vehicle (EV) charging stations across multiple locations. However, the EV char…

cs.LG2024

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…