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pro vyhledávání: '"Durdy, Samantha"'
Autor:
Durdy, Samantha, Gaultois, Michael W., Gusev, Vladimir, Bollegala, Danushka, Rosseinsky, Matthew J.
Clustering is a common task in machine learning, but clusters of unlabelled data can be hard to quantify. The application of clustering algorithms in chemistry is often dependant on material representation. Ascertaining the effects of different repre
Externí odkaz:
http://arxiv.org/abs/2305.16372
Autor:
Durdy, Samantha, Gaultois, Michael, Gusev, Vladimir, Bollegala, Danushka, Rosseinsky, Matthew J.
With machine learning being a popular topic in current computational materials science literature, creating representations for compounds has become common place. These representations are rarely compared, as evaluating their performance - and the pe
Externí odkaz:
http://arxiv.org/abs/2206.08841
Autor:
Pétuya, Rémi1,2 (AUTHOR), Durdy, Samantha3,4 (AUTHOR), Antypov, Dmytro1,3 (AUTHOR), Gaultois, Michael W.1,3 (AUTHOR), Berry, Neil G.1 (AUTHOR), Darling, George R.1 (AUTHOR), Katsoulidis, Alexandros P.1,3 (AUTHOR), Dyer, Matthew S.1,3 (AUTHOR), Rosseinsky, Matthew J.1,3 (AUTHOR) rossein@liverpool.ac.uk
Publikováno v:
Angewandte Chemie. 2/21/2022, Vol. 134 Issue 9, p1-6. 6p.
Akademický článek
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