Occlusion Based Explanations of Black-Box Models for Deep Learning

Occlusion sensitivity analysis allows us to better understand trained machine learning models by identifying which parts of a given input are most salient in determining the model’s prediction. It is particularly valuable as it can be applied to black-box models i.e. models with internal representations which are difficult to access or interpret.   Occlusion sensitivity […]

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Realistic-looking fake GPS traces for privacy protection

Modern GPS-equipped devices allow for re-identification of people based on their GPS traces. In this project, you will create a tool which creates realistic-looking GPS traces and injects them into the real datastream, thus confusing a potential malicious attacker from finding useful personal information. Doing this may involve interfacing with existing online resources such as […]

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A strategy video-game for collaborative agents with a personality

In this project we aim to develop a multiagent system to play a strategy video game [1].  The basic idea is that a group of agents acting on behalf of the player work collaboratively to achieve a common goal. At each step a decision is to be made for which action the group should take. […]

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VMAT Treatment Plan Deliverability

Objective Volumetric Modulated Arc Therapy (VMAT) is a recent radiation therapy technique that delivers the calculated required radiation dose continuously as the treatment machine rotates. The advantage of this technique is that it more accurately shapes the radiation dose to the tumour and hence minimises the dose given to the organs surrounding the tumour avoiding damage […]

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Automated Plan Checking

Objective For a given radiotherapy treatment plan type (e.g. prostate, breast, head & neck, etc), explore the use of an ‘unsupervised’ AI training process to determine the properties of a correct treatment plan. Once trained, the system can determine whether a new treatment plan, which it has not previously seen, looks correct and, perhaps give […]

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OCR using Transkribus

A joint project with the St Andrews Institute of Mediaeval Studies attempts to digitise mediaeval documents using OCR (Optical Character Recognition). Previous attempts with Ocropus gave good results on printed texts, but mixed results on manuscripts. In this project, Transkribus will be used. SupervisorsMark-Jan NederhofArtefact(s) Various scripts will be written to make the scans amenable […]

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Improving Anonymity in Web Browsing

Our behaviour online is increasingly being tracked by a variety of third parties, including advertisers or providers of free WiFi services, with these data freely traded. In particular, browsing histories can reveal a lot about a person, and allow third parties to de-anonymise people and learn specifics about them. There is an undergraduate project which […]

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Image mosaicing for aerial photography

Aerial surveys are a common conservation technique. They will typically consist of a number of photographs taken from a plane, which are then stitched into a much larger image which contains a large area. These stitched images are then used to count animals, monitor populations, etc. At the moment, these techniques are based on classic […]

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Group deliberation in probabilistic argumentation-based reasoning

Collaborative decision making is often considered useful as it brings together different opinions and hypotheses and lowers the risk of biases. However, in political studies of deliberative democracy, the phenomenon of group polarisation shows that “decisions made in groups will sometimes be better and sometimes worse than decisions made by individuals” (Mercier  and Landemore [3]).  This […]

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Dynamics of Wikipedia Subnetworks

Wikipedia is the biggest encyclopedia ever created and it is in continuous evolution. Volodymyr Miz et al [1] created and made available tools that allow the analysis and visualisation of the Wikipedia graph. A detailed explanation of their work can be found in this blog post [2]. This project will explore how some regions of […]

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