Search Results for author: Caroline Jay

Found 11 papers, 3 papers with code

The role of regular asymptomatic testing in reducing the impact of a COVID-19 wave

1 code implementation18 Jul 2022 Miguel E. P. Silva, Martyn Fyles, Li Pi, Jasmina Panovska-Griffiths, Caroline Jay, Thomas House, Elizabeth Fearon

Since regular asymptomatic testing requires only those with a positive result to reduce contact, while lockdown measures require the whole population to reduce contact, any policy decision that seeks to trade off harms from infection against other harms will not automatically favour one over the other.

Using Interaction Data to Predict Engagement with Interactive Media

1 code implementation4 Aug 2021 Jonathan Carlton, Andy Brown, Caroline Jay, John Keane

The results demonstrate that interaction data can be used to infer users' engagement during and after an experience, and the proposed techniques are relevant to better understand audience preference and responses.

Why scholars are diagramming neural network models

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Perhaps because of this, diagrams, as "icons of relation", are a prevalent medium for signifying complex models.

Number and quality of diagrams in scholarly publications is associated with number of citations

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

We analyse a corpus of diagrams found in scholarly computational linguistics conference proceedings (ACL 2017), and find inclusion of a system diagram to be correlated with higher numbers of citations after 3 years.

Structuralist analysis for neural network system diagrams

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Using a corpus-based approach, we argue that the heterogeneous diagrammatic notations used for neural network systems has implications for signification in this domain.

How Researchers Use Diagrams in Communicating Neural Network Systems

no code implementations28 Aug 2020 Guy Clarke Marshall, André Freitas, Caroline Jay

Neural networks are a prevalent and effective machine learning component, and their application is leading to significant scientific progress in many domains.

Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework

no code implementations26 Aug 2020 Guy Clarke Marshall, Caroline Jay, André Freitas

We utilise Richards-Engelhardt framework as a tool for understanding Natural Language Processing systems diagrams.

What Makes Research Software Sustainable? An Interview Study With Research Software Engineers

1 code implementation14 Mar 2019 Mario Rosado de Souza, Robert Haines, Markel Vigo, Caroline Jay

Software is now a vital scientific instrument, providing the tools for data collection and analysis across disciplines from bioinformatics and computational physics, to the humanities.

Software Engineering Computers and Society

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