This work presents a new approach to visually summarize large micro-document collections such as tweets. We extract frequent patterns of phrases as shortened quotes to present analysts an overview of popular snippets and ...

We design and apply interactive visualisation to help understand reactionary (knock-on) delay in trains using a set of 'Monte- Carlo' style Agent Based Model runs, and to help train operating companies design interventions. ...

Clinicians and hygienists need to identify outbreaks and transmission patterns of pathogen infections among hospital patients. Such analysis requires the combination of the microbiological laboratory results with the ...

It is essential to assess the trustworthiness of the machine learning models when deploying them to real-world applications, such as healthcare and risk management, in which domain experts need to make critical decisions. ...

We contribute a systematic review of online visualizations of the Bitcoin blockchain. Bitcoin is currently the most active cryptocurrency with the largest market share among other cryptocurrencies. It has attracted a large ...