From the 1 of 5 linked papers with an AI index.
8 citations · 8 across the 1 of their papers we have counts for
5 papers
Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4
The paper proposes a framework that evaluates explainability methods like LIME and SHAP across models and datasets using fidelity, simplicity, and stability, and builds a knowledge…
Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
Financial institutions increasingly require AI explanations that are persistent, cross-validated across methods, and conversationally accessible to human decision-makers. We presen…
Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
The EU Artificial Intelligence Act (Regulation 2024/1689), fully applicable to high-risk systems from August 2026, creates urgent demand for AI architectures that are simultaneousl…
HumAIne-Chatbot: Real-Time Personalized Conversational AI via Reinforcement Learning
Georgios Makridis, George Fragiadakis, Jorge Oliveira +4
Current conversational AI systems often provide generic, one-size-fits-all interactions that overlook individual user characteristics and lack adaptive dialogue management. To addr…
VirtualXAI: A User-Centric Framework for Explainability Assessment Leveraging GPT-Generated Personas
Georgios Makridis, Vasileios Koukos, Georgios Fatouros +1
In today's data-driven era, computational systems generate vast amounts of data that drive the digital transformation of industries, where Artificial Intelligence (AI) plays a key…