2 papers
q-bio.QM2026
A Novel Multi-view Mixture Model Framework for Longitudinal Clustering with Application to ANCA-Associated Vasculitis
Shen Jia, David Selby, Mark A Little +1
Effectively modeling irregularly sampled longitudinal data is essential for understanding disease progression and improving risk prediction. We propose a two-view mixture model tha…
cs.LG2026
A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
Zhouting Zhao, Tin Lok James Ng
Striking an optimal balance between predictive performance and fairness continues to be a fundamental challenge in machine learning. In this work, we propose a post-processing fram…