no code implementations • 14 May 2021 • Elisa Ferrari, Luna Gargani, Greta Barbieri, Lorenzo Ghiadoni, Francesco Faita, Davide Bacciu
We present a workflow for clinical data analysis that relies on Bayesian Structure Learning (BSL), an unsupervised learning approach, robust to noise and biases, that allows to incorporate prior medical knowledge into the learning process and that provides explainable results in the form of a graph showing the causal connections among the analyzed features.
1 code implementation • 13 May 2021 • Elisa Ferrari, Davide Bacciu
Resilience to class imbalance and confounding biases, together with the assurance of fairness guarantees are highly desirable properties of autonomous decision-making systems with real-life impact.
no code implementations • 21 May 2019 • Elisa Ferrari, Alessandra Retico, Davide Bacciu
Over the years, there has been growing interest in using Machine Learning techniques for biomedical data processing.