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Found 11 papers, 3 papers with code
The role of regular asymptomatic testing in reducing the impact of a COVID-19 wave
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
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.
Number and quality of diagrams in scholarly publications is associated with number of citations
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.
Why scholars are diagramming neural network models
Perhaps because of this, diagrams, as "icons of relation", are a prevalent medium for signifying complex models.
Structuralist analysis for neural network system diagrams
Using a corpus-based approach, we argue that the heterogeneous diagrammatic notations used for neural network systems has implications for signification in this domain.
Diagrammatic summaries for neural architectures
This paper advocates for diagrammatic summary publications for machine learning system architecture papers.
A Framework for Improving Scholarly Neural Network Diagrams
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
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
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
