13 citations · 31 across the 6 of their papers we have counts for
6 papers
Quantifying Transparency of Machine Learning Systems through Analysis of Contributions
Iain Barclay, Alun Preece, Ian Taylor +1
Increased adoption and deployment of machine learning (ML) models into business, healthcare and other organisational processes, will result in a growing disconnect between the engi…
Deep Q-Learning for Directed Acyclic Graph Generation
Laura D'Arcy, Padraig Corcoran, Alun Preece
We present a method to generate directed acyclic graphs (DAGs) using deep reinforcement learning, specifically deep Q-learning. Generating graphs with specified structures is an im…
Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks
James R. Ashford, Liam D. Turner, Roger M. Whitaker +3
Wikipedia serves as a good example of how editors collaborate to form and maintain an article. The relationship between editors, derived from their sequence of editing activity, re…
Towards Traceability in Data Ecosystems using a Bill of Materials Model
Iain Barclay, Alun Preece, Ian Taylor +1
Researchers and scientists use aggregations of data from a diverse combination of sources, including partners, open data providers and commercial data suppliers. As the complexity…
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment
Iain Barclay, Alun Preece, Ian Taylor +1
Machine Learning systems rely on data for training, input and ongoing feedback and validation. Data in the field can come from varied sources, often anonymous or unknown to the ult…
Conversational Sensing
Alun Preece, Chris Gwilliams, Christos Parizas +3
Recent developments in sensing technologies, mobile devices and context-aware user interfaces have made it possible to represent information fusion and situational awareness as a c…