1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2024
Challenges in Variable Importance Ranking Under Correlation
Annie Liang, Thomas Jemielita, Andy Liaw +4
Variable importance plays a pivotal role in interpretable machine learning as it helps measure the impact of factors on the output of the prediction model. Model agnostic methods b…
q-bio.BM2023★ 1 cited
Development and Evaluation of Conformal Prediction Methods for QSAR
Yuting Xu, Andy Liaw, Robert P. Sheridan +1
The quantitative structure-activity relationship (QSAR) regression model is a commonly used technique for predicting biological activities of compounds using their molecular descri…
q-bio.BM2021
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships
Robert P. Sheridan, Andy Liaw, Matthew Tudor
In the pharmaceutical industry, where it is common to generate many QSAR models with large numbers of molecules and descriptors, the best QSAR methods are those that can generate t…