Probabilistic design of a molybdenum-base alloy using a neural network. - Bryce D. Conduit; Nick G. Jones; Howard J. Stone; Gareth John Conduit (CoRR, 2018)

Design of a nickel-base superalloy using a neural network. - Bryce D. Conduit; Nick G. Jones; Howard J. Stone; Gareth John Conduit (CoRR, 2018)

Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data. - John Armitage; Leszek J. Spalek; Malgorzata Nguyen; Mark Nikolka; Ian E. Jacobs; Lorena Marañón; Iyad Nasrallah; Guillaume Schweicher; Ivan Dimov; Dimitrios Simatos; Iain McCulloch; Christian B. Nielsen; et al. (CoRR, 2019)

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)

Predicting the state of charge and health of batteries using data-driven machine learning. - Man-Fai Ng; Jin Zhao; Qingyu Yan; Gareth John Conduit; Zhi Wei Seh (Nat. Mach. Intell., 2020)

Machine learning to predict mesenchymal stem cell efficacy for cartilage repair. - Yu Yang Fredrik Liu; Yin Lu; Steve Oh; Gareth John Conduit (PLoS Comput. Biol., 2020)

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)

Probabilistic selection and design of concrete using machine learning. - Jessica C. Forsdyke; Bahdan Zviazhynski; Janet M. Lees; Gareth John Conduit (CoRR, 2023)

Unveil the unseen: Exploit information hidden in noise. - Bahdan Zviazhynski; Gareth John Conduit (Appl. Intell., 2023)

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)

Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop. - Yogesh K. Dwivedi; Laurie Hughes; Harshad K. D. H. Bhadeshia; Sophia Ananiadou; Anthony G. Cohn 001; Jacqueline M. Cole; Gareth John Conduit; Maunendra Sankar Desarkar; Xinwei Wang (Int. J. Inf. Manag., 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)

A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures. - Zhenpei Wang; Brian N. Cox; Shemuel Joash Kuehsamy; Mark Hyunpong Jhon; Olivier Sudre; N. Sridhar; Gareth John Conduit (Comput. Aided Des., 2024)