most citedRegularization approaches for support vector machines with applications to biomedical data

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 1 cited

Instability in clinical risk stratification models using deep learning

Daniel Lopez-Martinez, Alex Yakubovich, Martin Seneviratne +9

While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised. We study th…

cs.LG2022

Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data

Daniel Lopez-Martinez, Christina Chen, Ming-Jun Chen

Chronic kidney disease (CKD) represents a slowly progressive disorder that can eventually require renal replacement therapy (RRT) including dialysis or renal transplantation. Early…

cs.LG2017★ 2 cited

Regularization approaches for support vector machines with applications to biomedical data

Daniel Lopez-Martinez

The support vector machine (SVM) is a widely used machine learning tool for classification based on statistical learning theory. Given a set of training data, the SVM finds a hyper…