Items where Faculty is "Faculty of Science, Engineering and Computing (until 2017) > School of Mathematics"
Number of items: 8. DDenholm-Price, James, Orwell, Suzan and Sloan, Peter (2017) Can we derive useful "analytics" from clicker response data? In: HEA Annual Conference 2017 - Generation TEF : Teaching in the spotlight; 04-06 Jul 2017, Manchester, U.K.. (Unpublished) FFrankland, Chris and Hunter, Gordon (2017) A Statistical Investigation into Factors Affecting Results of One Day International Cricket Matches. In: 6th International Conference on Mathematics in Sport; 26-28 Jun 2017, Padova, Italy. (International Conference on Mathematics in Sport) HHabib, M.M., Welikala, R.A., Hoppe, A., Owen, C.G., Rudnicka, A.R. and Barman, S.A. (2017) Detection of microaneurysms in retinal images using an ensemble classifier. Informatics in Medicine Unlocked, 9, pp. 44-57. ISSN (print) 2352-9148 Habib, Mohammed, Welikala, Roshan, Hoppe, Andreas, Owen, Christopher G., Rudnicka, Alicja R., Tufail, Adnan, Egan, Catherine and Barman, Sarah A. (2017) Incorporating spatial information for microaneurysm detection in retinal images. Advances in Science, Technology and Engineering Systems Journal, 2(3), pp. 642-649. ISSN (online) 2415-6698 JJones, Mark (2017) A singularity in resonant interfacial fluid flow leading to role reversal in the space time continuum of the evolution equations. Wave Motion, 75, pp. 77-87. ISSN (print) 0165-2125 RRuvinga, Stenford, Davis, Mastaneh and Hunter, Gordon (2017) A statistical study of “attainment gaps” (and their causes) in students’ performance in STEM subjects at a post-1992 UK university. In: Horizons in STEM Higher Education Conference: Making Connections, Innovating and Sharing Pedagogy 2017; 29-30 Jun 2017, Edinburgh, U.K.. (Unpublished) WWeedon, Martyn, Tsaptsinos, Dimitris and Denholm-Price, James (2017) Random forest explorations for URL classification. In: ., ., (ed.) 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). Institute of Electrical and Electronics Engineers, Inc. ISBN 9781509050604 Welikala, R.A., Foster, P.J., Whincup, P.H., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A. (2017) Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort. Computers in Biology and Medicine, 90, pp. 23-32. ISSN (print) 0010-4825 |
