most citedExploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

HANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems

Christos Sardianos, Iliana Pla, Vasilis Efthymiou +4

Autonomous multi-agent systems nowadays act in finance, software supply chains, and security operations. Already, the first largely AI-orchestrated intrusion campaigns have been re…

cs.AI2026

From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond

Spyridon Evangelatos, Christos Diou, Georgios Th. Papadopoulos +2

Interpretable explanation methods in Artificial Intelligence aim to uncover the underlying causes and their effects, enabling a deeper understanding of why a system behaves in a ce…

cs.CV2026

Facial Affect Analysis for Service-Oriented Systems: Advances, Challenges, and Future Visions

Spyridon Georgiou, Aggelos Psiris, Thomas Lagkas +4

Facial Affect Analysis (FAA) is evolving from a stand-alone recognition task into a reusable perception capability for Service-Oriented Software Ecosystems (SoSE). This paper prese…

cs.CV2026

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…

cs.RO2026

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…

cs.CV2026

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…