27 citations · 37 across the 5 of their papers we have counts for
5 papers
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Emily Jefferson, James Liley, Maeve Malone +16
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure a…
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
Esma Mansouri-Benssassi, Simon Rogers, Jim Smith +2
Artificial intelligence (AI) applications in healthcare and medicine have increased in recent years. To enable access to personal data, Trusted Research environments (TREs) provide…
Lexical semantic change for Ancient Greek and Latin
Valerio Perrone, Simon Hengchen, Marco Palma +3
Change and its precondition, variation, are inherent in languages. Over time, new words enter the lexicon, others become obsolete, and existing words acquire new senses. Associatin…
Confidentiality and linked data
Felix Ritchie, Jim Smith
Data providers such as government statistical agencies perform a balancing act: maximising information published to inform decision-making and research, while simultaneously protec…
GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen +3
Word meaning changes over time, depending on linguistic and extra-linguistic factors. Associating a word's correct meaning in its historical context is a central challenge in diach…