Outputs (47)

Visual analytics for collaborative human-machine confidence in human-centric active learning tasks (2019)
Journal Article

Active machine learning is a human-centric paradigm that leverages a small labelled dataset to build an initial weak classifier, that can then be improved over time through human-machine collaboration. As new unlabelled samples are observed, the mach... Read More about Visual analytics for collaborative human-machine confidence in human-centric active learning tasks.

Predicting user confidence during visual decision making (2018)
Journal Article

© 2018 ACM People are not infallible consistent “oracles”: their confidence in decision-making may vary significantly between tasks and over time. We have previously reported the benefits of using an interface and algorithms that explicitly captured... Read More about Predicting user confidence during visual decision making.

Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models (2017)
Book Chapter

The ability to predict future states is fundamental for a wide variety of applications, from weather forecasting to stock market analysis. Understanding the related data attributes that can influence changes in time series is a challenging task that... Read More about Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models.

RicherPicture: Semi-automated cyber defence using context-aware data analytics (2017)
Presentation / Conference Contribution

In a continually evolving cyber-threat landscape, the detection and prevention of cyber attacks has become a complex task. Technological developments have led organisations to digitise the majority of their operations. This practice, however, has its... Read More about RicherPicture: Semi-automated cyber defence using context-aware data analytics.

Glyph visualization: A fail-safe design scheme based on quasi-hamming distances (2017)
Journal Article

© 1981-2012 IEEE. In many spatial and temporal visualization applications, glyphs provide an effective means for encoding multivariate data. However, because glyphs are typically small, they are vulnerable to various perceptual errors. This article i... Read More about Glyph visualization: A fail-safe design scheme based on quasi-hamming distances.

Visual analytics for non-expert users in cyber situation awareness (2016)
Journal Article

Situation awareness is often described as the perception and comprehension of the current situation, and the projection of future status. Whilst this may be well understood in an organisational cybersecurity context, there is a strong case to be made... Read More about Visual analytics for non-expert users in cyber situation awareness.

Enhancing cyber situation awareness for non-expert users using visual analytics (2016)
Presentation / Conference Contribution

Situation awareness is often described as the perception and comprehension of the current situation, and the projection of future status. Whilst this may be understood in an organisational cybersecurity context, there is a strong case to be made for... Read More about Enhancing cyber situation awareness for non-expert users using visual analytics.

Visualizing the insider threat: Challenges and tools for identifying malicious user activity (2015)
Presentation / Conference Contribution

One of the greatest challenges for managing organisational cyber security is the threat that comes from those who operate within the organisation. With entitled access and knowledge of organisational processes, insiders who choose to attack have the... Read More about Visualizing the insider threat: Challenges and tools for identifying malicious user activity.

Quasi-Hamming distances: An overarching concept for measuring glyph similarity (2015)
Presentation / Conference Contribution

In many applications of spatial or temporal visualization, glyphs provide an effective means for encoding mul- tivariate data objects. However, because glyphs are typically small, they are vulnerable to various perceptual errors. In data communicatio... Read More about Quasi-Hamming distances: An overarching concept for measuring glyph similarity.

Automated insider threat detection system using user and role-based profile assessment (2015)
Journal Article

© 2007-2012 IEEE. Organizations are experiencing an ever-growing concern of how to identify and defend against insider threats. Those who have authorized access to sensitive organizational data are placed in a position of power that could well be abu... Read More about Automated insider threat detection system using user and role-based profile assessment.