All 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.

Caught in the Act of an Insider Attack: Detection and Assessment of Insider Threat (2015)
Presentation / Conference Contribution

The greatest asset that any organisation has are its people, but they may also be the greatest threat. Those who are within the organisation may have authorised access to vast amounts of sensitive company records that are essential for maintaining co... Read More about Caught in the Act of an Insider Attack: Detection and Assessment of Insider Threat.

Knowledge-assisted ranking: A visual analytic application for sports event data (2015)
Journal Article

© 2016 IEEE. Organizing sports video data for performance analysis can be challenging, especially in cases involving multiple attributes and when the criteria for sorting frequently changes depending on the user's task. The proposed visual analytic s... Read More about Knowledge-assisted ranking: A visual analytic application for sports event data.

Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging (2014)
Journal Article

© 2014 Elsevier Ltd. All rights reserved. Multi-modal image registration is becoming an increasingly powerful tool for medical diagnosis and treatment. The combination of different image modalities facilitates much greater understanding of the underl... Read More about Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging.

Visual analytics of e-mail sociolinguistics for user behavioural analysis (2014)
Journal Article

The cyber-security threat that most organisations face is not one that only resides outside their perimeter attempting to get in, but emanates from the inside too. Insider threats encompass anyone or thing which exploits authorised access to company... Read More about Visual analytics of e-mail sociolinguistics for user behavioural analysis.

Understanding insider threat: A framework for characterising attacks (2014)
Presentation / Conference Contribution

The threat that insiders pose to businesses, institu- tions and governmental organisations continues to be of serious concern. Recent industry surveys and academic literature provide unequivocal evidence to support the significance of this threat and... Read More about Understanding insider threat: A framework for characterising attacks.

Towards a conceptual model and reasoning structure for insider threat detection (2013)
Journal Article

The insider threat faced by corporations and governments today is a real and significant problem, and one that has become increasingly difficult to combat as the years have progressed. From a technology standpoint, traditional protective measures suc... Read More about Towards a conceptual model and reasoning structure for insider threat detection.

Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop (2013)
Journal Article

Traditional sketch-based image or video search systems rely on machine learning concepts as their core technology. However, in many applications, machine learning alone is impractical since videos may not be semantically annotated sufficiently, there... Read More about Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop.

Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation (2013)
Journal Article

Mutual information (MI) is a popular similarity measure for performing image registration between different modalities. MI makes a statistical comparison between two images by computing the entropy from the probability distribution of the data. There... Read More about Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation.

Glyph sorting: Interactive visualization for multi-dimensional data (2013)
Journal Article

Copyright © 2013 The Author(s). Glyph-based visualization is an effective tool for depicting multivariate information. Since sorting is one of the most common analytical tasks performed on individual attributes of a multi-dimensional dataset, this mo... Read More about Glyph sorting: Interactive visualization for multi-dimensional data.

MatchPad: Interactive glyph-based visualization for real-time sports performance analysis (2012)
Journal Article

Today real-time sports performance analysis is a crucial aspect of matches in many major sports. For example, in soccer and rugby, team analysts may annotate videos during the matches by tagging specific actions and events, which typically result in... Read More about MatchPad: Interactive glyph-based visualization for real-time sports performance analysis.