Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. - Stavroula C. Tassi; Konstantinos D. Polyzos; Dimitrios I. Fotiadis; Antonis I. Sakellarios (BIBM, 2023)

Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures. - Stavroula C. Tassi; Vassiliki Kigka; Panagiotis K. Siogkas; Silvia Rocchiccioli; Gualtiero Pelosi; Dimitrios I. Fotiadis; Antonis I. Sakellarios (EMBC, 2023)

Synergistic-based Feature Selection for Online Learning with Gaussian Processes. - Stavroula C. Tassi; Dimitrios I. Zaridis; Dimitrios I. Fotiadis; Antonis I. Sakellarios (CAI, 2023)

Bias in O-Information Estimation. - Johanna Gehlen; Jie Li; Cillian Hourican; Stavroula C. Tassi; Pashupati P. Mishra; Terho Lehtimäki; Mika Kähönen; Olli T. Raitakari; Jos A. Bosch; Rick Quax (Entropy, 2024)

From Falls to Confidence: Assessing HOLOBALANCE's Impact and Predictive AI Models on Fear of Falling. - Dimitrios G. Boucharas; Grigorios G. Kotoulas; Christos Nikitas; Stavroula C. Tassi; Efterpi Karapintzou; Athanasios A. Pardalis; Konstantinos Maglaras; Vassilios D. Tsakanikas; Eleftheria Iliadou; Michael Tsoukatos; Sofia Papadopoulou; Anastasios Rentoumis; et al. (BIBE, 2025)

Prognostic Model Development for Continuous Carotid Intima-Media Thickness: A Graph-Driven Self-Supervised Learning Approach. - Stavroula C. Tassi; Konstantinos D. Polyzos; Sokratis S. Dimos; Demosthenes Polyzos; Dimitrios I. Fotiadis; Antonis I. Sakellarios (IEEE J. Biomed. Health Informatics, 2025)