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Items where Author is "Laws, A"

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Number of items: 10.

Article

Ju, W, Hawkins, R, Doran, D, Gómez-Díaz, A, Martín-García, A, Evans, M, Laws, A and Bradley, PS (2022) Tier-specific contextualised high-intensity running profiles in the English Premier League: more on-ball movement at the top. Biology of Sport, 40 (2). pp. 561-573. ISSN 0860-021X

Ju, W, Doran, DA, Hawkins, R, Evans, M, Laws, A and Bradley, P (2022) Contextualised high-intensity running profiles of elite football players with reference to general and specialised tactical roles. Biology of Sport, 40 (1). pp. 291-301. ISSN 0860-021X

Ju, W, Doran, DA, Hawkins, R, Gómez-Díaz, A, Martin-Garcia, A, Ade, J, Laws, A, Evans, M and Bradley, P (2021) Contextualised peak periods of play in English Premier League matches. Biology of Sport, 39 (4). pp. 973-983. ISSN 0860-021X

Ju, W, Lewis, C, Laws, A, Evans, M and Bradley, PS (2021) The Validity and Reliability of an Integrated Approach for Quantifying Match Physical-Tactical Performance. Biology of Sport, 39 (2). pp. 253-261. ISSN 0860-021X

Bradley, PS, Laws, A and Ade, JD (2018) How AI could help football managers spot weak links in their teams. The Conversation. ISSN 2201-5639

Al-Shabandar, R, Hussain, A, Laws, A, Keight, R and Lunn, J (2017) Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. Lecture Notes in Computer Science, 10361. ISSN 0302-9743

Taylor, MJ, Stables, R, Matata, B, Lisboa, P, Laws, A and Almond, P (2014) Website design: Technical, social and medical issues for self-reporting by elderly patients. HEALTH INFORMATICS JOURNAL, 20 (2). pp. 136-150. ISSN 1460-4582

Conference or Workshop Item

Al-Shabandar, R, Hussain, A, Laws, A, Keight, R and Lunn, J (2017) Machine Learning Approaches to Predict Learning Outcomes in Massive Open Online Courses. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Alshabandar, R, Hussain, A, Keight, R, Laws, A and Baker, T The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil. (Accepted)

Other

Bradley, PS, Evans, M, Laws, A and Ade, JD ‘Context is King’ when Interpreting Match Physical Performances. Football Medical Association, Football Medic & Scientist Magazine. (Accepted)

This list was generated on Thu Apr 25 15:53:19 2024 UTC.