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ORCIDVladimir Svetnik
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2020 – today
- 2024
[i2]Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski:
Challenges in Variable Importance Ranking Under Correlation. CoRR abs/2402.03447 (2024)- 2023
- [i1]Yuting Xu, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik:
Development and Evaluation of Conformal Prediction Methods for QSAR. CoRR abs/2304.00970 (2023) - 2020
- [j7]Yuting Xu
, Deeptak Verma, Robert P. Sheridan, Andy Liaw, Junshui Ma, Nicholas M. Marshall, John McIntosh, Edward C. Sherer, Vladimir Svetnik, Jennifer M. Johnston:
Deep Dive into Machine Learning Models for Protein Engineering. J. Chem. Inf. Model. 60(6): 2773-2790 (2020)
2010 – 2019
- 2019
- [j6]Dai Feng, Vladimir Svetnik, Andy Liaw, Matthew T. Pratola, Robert P. Sheridan:
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees. J. Chem. Inf. Model. 59(6): 2642-2655 (2019) - 2017
- [j5]Yuting Xu, Junshui Ma, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik:
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 57(10): 2490-2504 (2017) - 2015
- [j4]Junshui Ma, Robert P. Sheridan, Andy Liaw, George E. Dahl, Vladimir Svetnik:
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 55(2): 263-274 (2015)
2000 – 2009
- 2009
- [j3]Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik:
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem. Stat. Anal. Data Min. 2(3): 161-174 (2009) - 2005
- [j2]Vladimir Svetnik, Ting Wang, Christopher Tong, Andy Liaw, Robert P. Sheridan, Qinghua Song:
Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling. J. Chem. Inf. Model. 45(3): 786-799 (2005) - 2004
- [c1]Vladimir Svetnik, Andy Liaw, Christopher Tong, Ting Wang:
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules. Multiple Classifier Systems 2004: 334-343 - 2003
- [j1]Vladimir Svetnik, Andy Liaw, Christopher Tong, J. Christopher Culberson, Robert P. Sheridan, Bradley P. Feuston:
Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling. J. Chem. Inf. Comput. Sci. 43(6): 1947-1958 (2003)
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