Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.
Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.
Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...
Paisalnan, Sakrapee and Moshfeghi, Yashar; (2026) Predicting expectancy violations using eye-tracking features : A machine learning approach. In: WWW '26: Proceedings of the ACM Web Conference 2026. Association for Computing Machinery (ACM), ARE, pp. 8753-8756. ISBN 979-8-4007-2307-0
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