Scalable Visualisation and Explainability of Synthetic Datasets
Introduction Synthetic data holds the promise of enabling research and innovation without exposing sensitive information, but only if its quality and privacy can be rigorously...
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Introduction Synthetic data holds the promise of enabling research and innovation without exposing sensitive information, but only if its quality and privacy can be rigorously...
Gauri Venkatachalapathi, Dr. Sally Moore, Dr. Yael Benn, Dr. Victoria Jenneson, Dr. Peter Ho University of Leeds, Manchester Metropolitan University and Ocado Retail Despite the shift to online...
Precious-Gift Alele, Samuel Relton, Marlous Hall, Max Henderson, Richard Irvine University of Leeds in collaboration with the West Yorkshire ICB Every year, one in four adults living in England experience a...
Project overview Supermarkets must transport large quantities of stock from depots to many different stores on a daily basis. It is important to deliver this...
Approximately 3-7% of all giant cell arteritis (GCA) patients may experience GCA-related stoke, and up to 30% may suffer permanent vision loss. Thus, timely diagnosis...
This project is building towards a framework that integrates DAG-based causal inference with agent-based modelling. We aim to provide a novel approach for simulating complex...
Project overview E-cargo bikes, for household use, are novel transport mode, but we know very little about their movement patterns. There is research about e-cargo bikes...
When the COVID-19 pandemic swept across the World, households faced unprecedented financial insecurity through lost jobs, reduced incomes, and dramatic shifts in expenses. Families had...
A 999 call doesn’t always result in hospital transport, as millions of cases are managed without conveyance. This research investigates how socioeconomic and demographic factors...
By Kylie Norman (LIDA Data Scientist Development Programme Manager) & Dr Emily Ennis (Research Culture Manager) University of Leeds Data professionals are key to delivering...