Search Results for author: Robert P. Sheridan

Found 2 papers, 0 papers with code

Development and Evaluation of Conformal Prediction Methods for QSAR

no code implementations3 Apr 2023 Yuting Xu, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik

The quantitative structure-activity relationship (QSAR) regression model is a commonly used technique for predicting biological activities of compounds using their molecular descriptors.

Conformal Prediction Prediction Intervals +1

Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships

no code implementations28 Apr 2021 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 the most accurate predictions but that are also insensitive to hyperparameters and are computationally efficient.

Prediction Intervals regression

Cannot find the paper you are looking for? You can Submit a new open access paper.