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ORCIDRichard Marchese Robinson
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2010 – 2019
- 2019
[j4]Richard Marchese Robinson
, Dawn Geatches, Chris Morris, Rebecca Mackenzie, Andrew G. P. Maloney, Kevin J. Roberts, Alexandru Moldovan, Ernest Chow, Klimentina Pencheva, Dinesh Ramesh Mirpuri Vatvani:
Evaluation of Force-Field Calculations of Lattice Energies on a Large Public Dataset, Assessment of Pharmaceutical Relevance, and Comparison to Density Functional Theory. J. Chem. Inf. Model. 59(11): 4778-4792 (2019)- 2018
- [j3]Richard Marchese Robinson, Kevin J. Roberts, Elaine B. Martin:
The influence of solid state information and descriptor selection on statistical models of temperature dependent aqueous solubility. J. Cheminformatics 10(1): 44:1-44:21 (2018) - 2017
- [j2]Richard Marchese Robinson, Anna Palczewska, Jan Palczewski, Nathan J. Kidley:
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets. J. Chem. Inf. Model. 57(8): 1773-1792 (2017) - 2013
- [c2]Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu:
Interpreting random forest models using a feature contribution method. IRI 2013: 112-119 - [c1]Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu:
Interpreting Random Forest Classification Models Using a Feature Contribution Method. IRI (best papers) 2013: 193-218 - [i1]Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu:
Interpreting random forest classification models using a feature contribution method. CoRR abs/1312.1121 (2013) - 2012
- [j1]Richard Marchese Robinson, Robert C. Glen, John B. O. Mitchell:
Winnow based identification of potent hERG inhibitors in silico: comparative assessment on different datasets. J. Cheminformatics 4(S-1): 6 (2012)
Coauthor Index
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