Vladimir Svetnik

15 papers A* 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Conformal Selection for Efficient and Accurate Compound Screening in Drug Discovery.
J. Chem. Inf. Model.
Tian Bai, Peng Tang, Yuting Xu, Vladimir Svetnik, Bingjia Yang, Abbas Khalili, Xiang Yu, Archer Y. Yang
2025 — conf
Conformal Survival Bands for Risk Screening under Right-Censoring.
COPA
Matteo Sesia, Vladimir Svetnik
2025 A* conf
Doubly Robust Conformalized Survival Analysis with Right-Censored Data.
ICML
Matteo Sesia, Vladimir Svetnik
2024 J jnl
A novel machine learning based framework for developing composite digital biomarkers of disease progression.
Frontiers Digit. Health
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
2024 J jnl
Challenges in Variable Importance Ranking Under Correlation.
CoRR
Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski
2024 J jnl
Doubly Robust Conformalized Survival Analysis with Right-Censored Data.
CoRR
Matteo Sesia, Vladimir Svetnik
2023 J jnl
Development and Evaluation of Conformal Prediction Methods for QSAR.
CoRR
Yuting Xu, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik
2020 J jnl
Deep Dive into Machine Learning Models for Protein Engineering.
J. Chem. Inf. Model.
Yuting Xu, Deeptak Verma, Robert P. Sheridan, Andy Liaw, Junshui Ma, Nicholas M. Marshall, John McIntosh, Edward C. Sherer, Vladimir Svetnik, Jennifer M. Johnston
2019 J jnl
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees.
J. Chem. Inf. Model.
Dai Feng, Vladimir Svetnik, Andy Liaw, Matthew T. Pratola, Robert P. Sheridan
2017 J jnl
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model.
Yuting Xu, Junshui Ma, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik
2015 J jnl
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model.
Junshui Ma, Robert P. Sheridan, Andy Liaw, George E. Dahl, Vladimir Svetnik
2009 J jnl
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem.
Stat. Anal. Data Min.
Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik
2005 J jnl
Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling.
J. Chem. Inf. Model.
Vladimir Svetnik, Ting Wang, Christopher Tong, Andy Liaw, Robert P. Sheridan, Qinghua Song
2004 — conf
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules.
Multiple Classifier Systems
Vladimir Svetnik, Andy Liaw, Christopher Tong, Ting Wang
2003 J jnl
Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling.
J. Chem. Inf. Comput. Sci.
Vladimir Svetnik, Andy Liaw, Christopher Tong, J. Christopher Culberson, Robert P. Sheridan, Bradley P. Feuston