Publications
Shedding light on uncertainties in machine learning: formal derivation and optimal model selection
Fairness Through Synthesis: Bias Mitigation Through Probabilistic Modeling and Matching Techniques
A synthetic data-driven generation approach to enhance the fairness and privacy of AI-based systems in the domain of rare diseases
Adversarial Robustness Evaluation of Deep Learning Segmentation Models and Loss Functions in Prostate MRI
AI_TAF: A Human-Centric Trustworthiness Risk Assessment Framework for AI Systems
Explanations for Trustworthy AI in Critical Infrastructure: A Case from Wastewater Treatment in Norway
A risk and conformity assessment framework to ensure security and resilience of healthcare systems and medical supply chain
A Practical Human-Centric Risk Management (HRM) Methodology
Synthetic data generation methods in healthcare: A review on open-source tools and methods
Trustworthy AI in education: A Roadmap for Ethical and Effective Implementation