281 citations · 670 across the 18 of their papers we have counts for
20 papers
A Critical Analysis of Trustworthy AI Tools, Mark Frameworks, and the Implementation Chasms
Michael Papademas, Xenia Ziouvelou, Kostas Karpouzis +1
As artificial intelligence (AI) systems increasingly impact society, ensuring their ethical and trustworthy deployment has become a global priority. While a myriad of high-level et…
AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systems
Athanasios Davvetas, Michael Papademas, Xenia Ziouvelou +1
The rapid rollout of AI in heterogeneous public and societal sectors has subsequently escalated the need for compliance with regulatory standards and frameworks. The EU AI Act has…
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
Michael Papademas, Xenia Ziouvelou, Antonis Troumpoukis +1
Artificial Intelligence (AI) technology epitomizes the complex challenges posed by human-made artifacts, particularly those widely integrated into society and exerting significant…
Depth-guided Free-space Segmentation for a Mobile Robot
Christos Sevastopoulos, Joey Hussain, Stasinos Konstantopoulos +2
Accurate indoor free-space segmentation is a challenging task due to the complexity and the dynamic nature that indoor environments exhibit. We propose an indoors free-space segmen…
Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls
Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis +2
Coarse graining (CG) enables the investigation of molecular properties for larger systems and at longer timescales than the ones attainable at the atomistic resolution. Machine lea…
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules
Dimitris Nasikas, Eleonora Ricci, George Giannakopoulos +3
Due to the wide range of timescales that are present in macromolecular systems, hierarchical multiscale strategies are necessary for their computational study. Coarse-graining (CG)…