Staffordshire University logo
STORE - Staffordshire Online Repository

Items where Author is "LAW, Ying-Ying"

Up a level
Export as [feed] Atom [feed] RSS
[tool] Batch List
Group by: Item Type | No Grouping
Number of items: 4.

Article

NOROOZI FAKHABI, Amin, HASAN, Mohammad, Ravan, Maryam, Norouzi, Elham and LAW, Ying-Ying (2024) An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validation. International Journal of Data Science and Analytics. ISSN 2364-4168

NOROOZI FAKHABI, Amin, Ravan, Maryam, Razavi, B, LAW, Ying-Ying and HASAN, Mohammad (2022) A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties. IEEE Transactions on Biomedical Engineering, 70 (3). ISSN 1558-2531

Book Chapter, Section or Conference Proceeding

LAW, Ying-Ying and JARRETT, Joshua (2020) More Than a Tournament: Grassroots Play and Participation at Esports Events. In: Proceedings of the UCI Esports Conference 2019. Carnegie Mellon University: ETC Press, pp. 1-6.

LAW, Ying-Ying (2019) ‘Where are all the female gamers?’ – Female Gamers and Competitive Gaming in Esports. In: Proceedings of the 14th ESA Conference. European Sociological Association, p. 1. ISBN 978-2-9569087-0-8

This list was generated on Sun May 26 09:27:20 2024 UTC.

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000