12 citations · 28 across the 11 of their papers we have counts for
6 papers · 1 filter
Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data
Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni Georga +3
In the rapidly evolving era of Artificial Intelligence (AI), synthetic data are widely used to accelerate innovation while preserving privacy and enabling broader data accessibilit…
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a complex condition that affects a large portion of the population. Accurate and consistent evaluation is essential for individuals experiencing pain and supports the devel…
Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a multifaceted phenomenon that affects a substantial portion of the population. Reliable and consistent evaluation supports individuals experiencing pain and enables the de…
Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a complex and pervasive condition that affects a significant portion of the population. Accurate and consistent assessment is essential for individuals suffering from pain,…
AI Model Passport: Data and System Traceability Framework for Transparent AI in Health
Varvara Kalokyri, Nikolaos S. Tachos, Charalampos N. Kalantzopoulos +10
The increasing integration of Artificial Intelligence (AI) into health and biomedical systems necessitates robust frameworks for transparency, accountability, and ethical complianc…
PainFormer: a Vision Foundation Model for Automatic Pain Assessment
Stefanos Gkikas, Raul Fernandez Rojas, Manolis Tsiknakis
Pain is a manifold condition that impacts a significant percentage of the population. Accurate and reliable pain evaluation for the people suffering is crucial to developing effect…