Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling. - Vladimir Svetnik; Andy Liaw; Christopher Tong; J. Christopher Culberson; Robert P. Sheridan; Bradley P. Feuston (J. Chem. Inf. Comput. Sci., 2003)

Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules. - Vladimir Svetnik; Andy Liaw; Christopher Tong; Ting Wang (Multiple Classifier Systems, 2004)

Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling. - Vladimir Svetnik; Ting Wang; Christopher Tong; Andy Liaw; Robert P. Sheridan; Qinghua Song (J. Chem. Inf. Model., 2005)

Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem. - Junshui Ma; Christopher Tong; Andy Liaw; Robert P. Sheridan; John Szumiloski; Vladimir Svetnik (Stat. Anal. Data Min., 2009)

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships. - Junshui Ma; Robert P. Sheridan; Andy Liaw; George E. Dahl; Vladimir Svetnik (J. Chem. Inf. Model., 2015)

Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships. - Yuting Xu; Junshui Ma; Andy Liaw; Robert P. Sheridan; Vladimir Svetnik (J. Chem. Inf. Model., 2017)

Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees. - Dai Feng; Vladimir Svetnik; Andy Liaw; Matthew T. Pratola; Robert P. Sheridan (J. Chem. Inf. Model., 2019)

Deep Dive into Machine Learning Models for Protein Engineering. - Yuting Xu; Deeptak Verma; Robert P. Sheridan; Andy Liaw; Junshui Ma; Nicholas M. Marshall; John McIntosh; Edward C. Sherer; Vladimir Svetnik; Jennifer M. Johnston (J. Chem. Inf. Model., 2020)

Development and Evaluation of Conformal Prediction Methods for QSAR. - Yuting Xu; Andy Liaw; Robert P. Sheridan; Vladimir Svetnik (CoRR, 2023)

Challenges in Variable Importance Ranking Under Correlation. - Annie Liang; Thomas Jemielita; Andy Liaw; Vladimir Svetnik; Lingkang Huang; Richard Baumgartner; Jason M. Klusowski (CoRR, 2024)

Doubly Robust Conformalized Survival Analysis with Right-Censored Data. - Matteo Sesia; Vladimir Svetnik (CoRR, 2024)

A novel machine learning based framework for developing composite digital biomarkers of disease progression. - Song Zhai; Andy Liaw; Judong Shen; Yuting Xu; Vladimir Svetnik; James J. Fitzgerald; Chrystalina A. Antoniades; Dan Holder; Marissa F. Dockendorf; Jie Ren; Richard Baumgartner (Frontiers Digit. Health, 2024)

Conformal Survival Bands for Risk Screening under Right-Censoring. - Matteo Sesia; Vladimir Svetnik (COPA, 2025)