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Towards Robust and Interpretable Heterogeneity Learning Systems Co-driven by Data and Knowledge
The project aims to develop robust and interpretable machine learning systems co-driven by data and knowledge.
The PETRAS Data Sharing Foundation: Building a Trustworthy Data Sharing Ecology for IoT Data Assets (PETRAS-DSF)
The aim of the PETRAS Data Sharing Foundation (PETRAS-DSF) is to create a data foundation for the PETRAS programme that supports the sharing of PETRAS data assets.The data foundations framework provides a means to create trustworthy data sharing inst...
PETRAS 2.0
The PETRAS 2 (privacy, ethics, trust, reliability, acceptability, and security) IoT Centre of National Excellence will provide a national capability to enable the UK to become a world-leader in IoT security and associated systems security. Its resear...
Steven Lewis Bell
Steve's main area of research involves measuring the brain response to sound. This is important for testing hearing, particularly in newborn infants, but has other applications including measuring if hearing aids are working well and telling if peopl...
Understanding the psychosocial needs and trajectories of older adults (>64 years) with alcohol use disorder from hospital back into the community
Background Over 200 physical and mental health conditions are caused by alcohol. In England, more people are being admitted to hospital with, and dying from, alcohol-related disease than ever before. In 2018/19, 44.7% of all alcohol related admission...