| Predicting securities fraud settlements and amounts: a hierarchical Bayesian model of federal securities class action lawsuits BB McShane, OP Watson, T Baker, SJ Griffith Journal of Empirical Legal Studies 9 (3), 482-510, 2012 | 50 | 2012 |
| Discovering highly potent molecules from an initial set of inactives using iterative screening I Cortés-Ciriano, NC Firth, A Bender, O Watson Journal of Chemical Information and Modeling 58 (9), 2000-2014, 2018 | 37 | 2018 |
| A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery OP Watson, I Cortes-Ciriano, AR Taylor, JA Watson Bioinformatics 35 (22), 4656-4663, 2019 | 15 | 2019 |
| A semi-supervised learning framework for quantitative structure–activity regression modelling O Watson, I Cortes-Ciriano, JA Watson Bioinformatics 37 (3), 342-350, 2021 | 4 | 2021 |
| A decision theoretic approach to model evaluation in computational drug discovery O Watson, I Cortes-Ciriano, A Taylor, JA Watson arXiv preprint arXiv:1807.08926, 2018 | 3 | 2018 |
| Supplementary materials: A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery OP Watson, I Cortes-Ciriano, AR Taylor, JA Watson | | 2019 |
| Predicting Dismissals and Settlements in Securities Class Actions T Baker, SJ Griffith, BB McShane, OP Watson Available at SSRN 1640686, 2010 | | 2010 |
