7 citations · 9 across the 4 of their papers we have counts for
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cs.LG2023
Diffsurv: Differentiable sorting for censored time-to-event data
Andre Vauvelle, Benjamin Wild, Aylin Cakiroglu +2
Survival analysis is a crucial semi-supervised task in machine learning with numerous real-world applications, particularly in healthcare. Currently, the most common approach to su…
cs.LG2017★ 1 cited
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…