Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Author Scutari, M
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 2020 | An interdisciplinary examination of stress and injury occurrence in athletes | Mullen, R; Fisher, H; Evans, L; Bitchell, L; Scutari, M; Gittoes, M |
| 30-Nov-2018 | Learning Bayesian Networks from Big Data with Greedy Search | Scutari, M; Vitolo, C; Tucker, A |
| 2-Feb-2019 | Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation | Scutari, M; Vitolo, C; Tucker, A |
| 2018 | Modelling air pollution, climate and health data using Bayesian Networks: a case study of the English regions | Vitolo, C; Scutari, M; Ghalaieny, M; Tucker, A; Russell, A |