Gareth John Conduit

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Artificial Intelligence

Semi Automatic Segmentation

Top Venues

J. Chem. Inf. Model.

Int. J. Inf. Manag.

Comput. Aided Des.

Publications

Yogesh K. Dwivedi, Laurie Hughes, Harshad K. D. H. Bhadeshia, Sophia Ananiadou, Anthony G. Cohn, Jacqueline M. Cole, Gareth John Conduit, Maunendra Sankar Desarkar, Xinwei Wang
Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop. Int. J. Inf. Manag. 76 (2024)
Thomas M. Whitehead, Joel Strickland, Gareth John Conduit, Alexandre Borrel, Daniel Mucs, Irene Baskerville-Abraham
Quantifying the Benefits of Imputation over QSAR Methods in Toxicology Data Modeling. J. Chem. Inf. Model. 64 (7) (2024)
Zhenpei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth John Conduit
A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures. Comput. Aided Des. 167 (2024)
Jessica C. Forsdyke, Bahdan Zviazhynski, Janet M. Lees, Gareth John Conduit
Probabilistic selection and design of concrete using machine learning. CoRR (2023)
Bahdan Zviazhynski, Gareth John Conduit
Unveil the unseen: Exploit information hidden in noise. Appl. Intell. 53 (10) (2023)
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
Imputation of sensory properties using deep learning. J. Comput. Aided Mol. Des. 35 (11) (2021)
Man-Fai Ng, Jin Zhao, Qingyu Yan, Gareth John Conduit, Zhi Wei Seh
Predicting the state of charge and health of batteries using data-driven machine learning. Nat. Mach. Intell. 2 (3) (2020)
Benedict W. J. Irwin, Julian R. Levell, Thomas M. Whitehead, Matthew D. Segall, Gareth John Conduit
Practical Applications of Deep Learning To Impute Heterogeneous Drug Discovery Data. J. Chem. Inf. Model. 60 (6) (2020)
Yu Yang Fredrik Liu, Yin Lu, Steve Oh, Gareth John Conduit
Machine learning to predict mesenchymal stem cell efficacy for cartilage repair. PLoS Comput. Biol. 16 (10) (2020)
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, Gareth John Conduit, Henning Sirringhaus
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data. CoRR (2019)
Thomas M. Whitehead, Benedict W. J. Irwin, Peter A. Hunt, Matthew D. Segall, Gareth John Conduit
Imputation of Assay Bioactivity Data Using Deep Learning. J. Chem. Inf. Model. 59 (3) (2019)
B. D. Conduit, Nick G. Jones, Howard J. Stone, Gareth John Conduit
Design of a nickel-base superalloy using a neural network. CoRR (2018)
B. D. Conduit, Nick G. Jones, Howard J. Stone, Gareth John Conduit
Probabilistic design of a molybdenum-base alloy using a neural network. CoRR (2018)