Publications co-authored with Joe Redshaw

3. Redshaw, J.; Ting, D.S.J.; Brown, A.; Gaertner, T.; Hirst, J.D., Krein Support Vector Machine Classification of Antimicrobial Peptides. Digital Discovery, 2, 502–511 (2023).
DOI: http://dx.doi.org/10.1039/D3DD00004D

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2. Haywood, A.L.; Redshaw, J.; Hanson-Heine, M.W.D.; Taylor, A.; Brown, A.; Mason, A.M.; Gaertner, T. and Hirst, J.D., Kernel methods for predicting yields of chemical reactions. J. Chem. Inf. Mod., 62, 2077–2091 (2022).
DOI: http://dx.doi.org/10.1021/acs.jcim.1c00699

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1. Haywood, A.L., Redshaw, J., Gaertner, T., Taylor, A., Mason, A.M. & Hirst, J.D., Machine Learning for Chemical Synthesis. In Machine Learning in Chemistry: The Impact of Artificial Intelligence, Ed. Cartwright, H. RSC, London, 169–194 (2020).
DOI: http://dx.doi.org/10.1039/9781839160233-00169