2 papers
cs.LG2026
Counterfactual Fairness with Graph Uncertainty
Davi Valério, Chrysoula Zerva, Mariana Pinto +2
Evaluating machine learning (ML) model bias is key to building trustworthy and robust ML systems. Counterfactual Fairness (CF) audits allow the measurement of bias of ML models wit…
cs.LG2025
Improving Representation Learning of Complex Critical Care Data with ICU-BERT
Ricardo Santos, André V. Carreiro, Xi Peng +2
The multivariate, asynchronous nature of real-world clinical data, such as that generated in Intensive Care Units (ICUs), challenges traditional AI-based decision-support systems.…