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Items where Author is "Dixon, S"

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Number of items: 5.

Article

Heller, S, Lawton, J, Amiel, S, Cooke, DD, Mansell, P, Brennan, A, Elliott, J, Boote, J, Emery, C, Baird, W, Basarir, H, Beveridge, S, Bond, R, Campbell, M, Chater, T, Choudhary, P, Clark, M, de Zoysa, N, Dixon, S, Gianfrancesco, C, Hopkins, D, Jacques, R, Kruger, J, Moore, S, Oliver, L, Peasgood, T, Rankin, D, Roberts, S, Rogers, H, Taylor, C, Thokala, P, Thompson, G and Ward, C (2014) Improving management of type 1 diabetes in the UK: the Dose Adjustment For Normal Eating (DAFNE) programme as a research test-bed. A mixed-method analysis of the barriers to and facilitators of successful diabetes self-management, a health economic analysis, a cluster randomised controlled trial of different models of delivery of an educational intervention and the potential of insulin pumps and additional educator input to improve outcomes Programme Grants for Applied Research, 2 (5).

Conference or Workshop Item

Li, S, Dixon, S and Plumbley, Mark (2017) Clustering expressive timing with regressed polynomial coefficients demonstrated by a model selection test In: 18th International Society for Music Information Retrieval Conference, 23 - 27 October 2017, Suzhou, China.

Li, S, Dixon, S, Black, DAA and Plumbley, MD (2016) A model selection test on effective factors of the choice of expressive timing clusters for a phrase In: 13th Sound and Music Computing Conference (SMC 2016), 2016-08-31 - 2016-09-03, Hamburg, Germany.

Weyde, T, Cottrell, S, Dykes, J, Benetos, E, Wolff, D, Tidhar, D, Kachkaev, A, Plumbley, M, Dixon, S, Barthet, M, Gold, N, Abdallah, S, Alancar-Brayner, A, Mahey, M and Tovell, A (2014) Big Data for Musicology In: Proceedings of the 1st International Workshop on Digital Libraries for Musicology (DLfM 2014), 2014-09-12 - 2014-09-12.

Weyde, T, Cottrell, S, Benetos, E, Wolff, D, Tidhar, D, Dykes, J, Plumbley, M, Dixon, S, Barthet, M, Gold, N, Abdallah, S and Mahey, M (2014) Digital Music Lab: A Framework for Analysing Big Music Data In: Second European Conference on Data Analysis (ECDA 2014), July 2-4, 2014, ? - ?.

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