12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Comparing interpretability and explainability for feature selection
Jack Dunn, Luca Mingardi, Ying Daisy Zhuo
A common approach for feature selection is to examine the variable importance scores for a machine learning model, as a way to understand which features are the most relevant for m…
stat.AP2020★ 12 cited
From predictions to prescriptions: A data-driven response to COVID-19
Dimitris Bertsimas, Léonard Boussioux, Ryan Cory Wright +18
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a d…