Stars
The official repository for "Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects"
Investigating Robustness of Parameter Allocation Strategies Across Scales: A Case Study on the Mix-And-Match Adapter
Identification of high-risk patients unsuitable for medical procedure. Cleaned claims of inconsistent quality and built meta prediction model. Fairness adjusted AUC score ranked top 20% of more tha…
Base on deep learning implementation of collaborative filtering, enhance fairness in terms of closing performance gap across users from different subgroups of gender and age