Imputation of Assay Bioactivity Data Using Deep Learning. - Thomas M. Whitehead; Benedict W. J. Irwin; Peter A. Hunt; Matthew D. Segall; Gareth John Conduit (J. Chem. Inf. Model., 2019)

Practical Applications of Deep Learning To Impute Heterogeneous Drug Discovery Data. - Benedict W. J. Irwin; Julian R. Levell; Thomas M. Whitehead; Matthew D. Segall; Gareth John Conduit (J. Chem. Inf. Model., 2020)

Hyperparameter-free Regularization by Sampling from an Infinite Space of Neural Networks. - Thomas M. Whitehead (Int. J. Artif. Intell. Tools, 2021)

Imputation of sensory properties using deep learning. - Samar Mahmoud; Benedict W. J. Irwin; Dmitriy Chekmarev; Shyam Vyas; Jeff Kattas; Thomas M. Whitehead; Tamsin Mansley; Jack Bikker; Gareth John Conduit; Matthew D. Segall (J. Comput. Aided Mol. Des., 2021)

Modelling the nicotine pharmacokinetic profile for e-cigarettes using real time monitoring of consumers' physiological measurements and mouth level exposure. - Krishna Prasad; Allen Griffiths; Kavya Agrawal; Michael McEwan; Flavio Macci; Marco Ghisoni; Matthew Stopher; Matthew Napleton; Joel Strickland; David Keating; Thomas M. Whitehead; Gareth John Conduit; et al. (BioData Min., 2024)

Quantifying the Benefits of Imputation over QSAR Methods in Toxicology Data Modeling. - Thomas M. Whitehead; Joel Strickland; Gareth John Conduit; Alexandre Borrel; Daniel Mucs; Irene Baskerville-Abraham (J. Chem. Inf. Model., 2024)