Robust identification of molecular phenotypes using semi-supervised learning. - Heinrich Roder; Carlos Oliveira; Lelia Net; Benjamin Linstid; Maxim Tsypin; Joanna Roder (BMC Bioinform., 2019)

A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics data. - Joanna Roder; Carlos Oliveira; Lelia Net; Maxim Tsypin; Benjamin Linstid; Heinrich Roder (BMC Bioinform., 2019)

Exact Shapley Values for Local and Model-True Explanations of Decision Tree Ensembles. - Thomas W. Campbell; Heinrich Roder; Robert W. Georgantas III; Joanna Roder (CoRR, 2021)

Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data. - Thomas W. Campbell; Melissa P. Wilson; Heinrich Roder; Samantha MaWhinney; Robert W. Georgantas III; Laura K. Maguire; Joanna Roder; Kristine M. Erlandson (Int. J. Medical Informatics, 2021)

Explaining multivariate molecular diagnostic tests via Shapley values. - Joanna Roder; Laura Maguire; Robert Georgantas; Heinrich Roder (BMC Medical Informatics Decis. Mak., 2021)