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Expert Fellow of the EPSRC SPRITE+ Network

SPRITE+ is a research network funded by EPSRC, the UK research council on engineering and physical sciences. The focus of the research network is ‘Security, Privacy, Identity, Trust in the Digital Economy’. ‘Its academic Expert Fellows enable SPRITE+ to develop a multidisciplinary approach to realising its vision. Fellows provide intellectual leadership, take a leading role […]

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Students

Michael Brobbey, PhD candidate

Visual Analytics for Machine Learning

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project

Human-machine teaming for document coding

Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand the the decision making process in the England appeal court, the researchers need to analysis count documents like this. The needed information includes the name […]

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project

Visual analytic for sensemaking

The goal of this project is to understand how analysts make sense of data using data visualisation and/or machine learning. ‘Sensemaking’ is a bit broader than what is usually known as ‘data analysis’: as shown in the diagram (the ‘Pirolli-Card model’) it include: Searching for relevant data Extracting useful information Form of an understanding of […]

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project

Machine Learning Provenance for Hyperparameter tuning

Hyperparameters are important to the performance of machine learning models. However, some models have many parameters and each parameter has many possible values, if not infinite. As a result, finding the best set of values for the hyperparameters can be time consuming. Currently people rely on previous experiences or methods such as ‘grid search’, but […]

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Students

Oladapo Ogunyanwo, PhD candidate

Machine Learning and Explainable AI for Malware Detection

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Funding Machine learning

God, the Oracle, and the Nightclub Bouncer: Can human dignity be modelled in an AI-based decision support system for post-Covid health certification

Funder: ESPRC Network Plus SPRITE+ Date: 2020 – 2021 Funding: £50,000 Partner: Birmingham City University, King’s College London, Cardiff University, University of Exeter,  Trilateral Research Ltd. In this project we investigate the possibility of modelling the impact of AI or Machine Learning system on human dignity. This is within the research field of human-centred machine […]

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Provenance Services Visual Analytics

Co-chair for Workshop on Provenance and Visualization (ProvViz) 2021

The workshop is part of the Provenance Week, which is the leading international conference on anything provenance related (theory, application, practice, etc.). As the name indicates, the workshop aims to bring together the provenance and visualisation community. The workshop was initially scheduled for 2020, but rescheduled to 2021 because of covid19. More details on the […]

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Funding Provenance Sensemaking Visual Analytics

Behaviour analytics for defence and security

Funder: Defence Science and Technology Laboratory (Dstl), UK Date: 2019 Funding: £80,000 Partner: MASS Ltd In this project, we use the human-machine teaming approach to design a new visual analytics system that supports kill chain elicitation: The system allows user to mark up text in intelligence reports that may form part of a kill chain; […]

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Highlights Papers Provenance Sensemaking Visual Analytics

Survey on the Analysis of User Interactions and Visualization Provenance

EuroVis/Computer Graphics Forum 2020 There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete […]