26 citations · 52 across the 6 of their papers we have counts for
3 papers · 1 filter
Provenance, Anonymisation and Data Environments: a Unifying Construction
Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot +1
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchange between organizations, referred to as "data environments". The second edition…
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu, Adriane Chapman, Guihua Wen +1
Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizabi…
Data provenance, curation and quality in metrology
James Cheney, Adriane Chapman, Joy Davidson +1
Data metrology -- the assessment of the quality of data -- particularly in scientific and industrial settings, has emerged as an important requirement for the UK National Physical…