Computer Science
Welcome to the research outputs of the University of Exeter College of Engineering, Mathematics and Physical Sciences, Department of Computer Science
Recent Submissions
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Automatic shape optimisation of the turbine-99 draft tube
(OpenFOAM, 2017-07)INTRODUCTION The performance of a hydraulic reaction turbine is significantly affected by the efficiency of its draft tube. Factors which impede the tube’s performance include the geometrical shape (profile), and velocity ... -
Shape optimisation using Computational Fluid Dynamics and Evolutionary Algorithms
(OpenDOAM, 2016-06)Optimisation of designs using Computational Fluid Dynamics (CFD) are frequently performed across many fields of research, such as the optimisation of an aircraft wing to reduce drag, or to increase the efficiency of a ... -
Systematic Review and Meta-Analysis of Randomised Trials to Ascertain Fatal Gastrointestinal Bleeding Events Attributable to Preventive Low-Dose Aspirin: No Evidence of Increased Risk
(Public Library of Science, 2016-11-15)Background Aspirin has been shown to lower the incidence and the mortality of vascular disease and cancer but its wider adoption appears to be seriously impeded by concerns about gastrointestinal (GI) bleeding. Unlike ... -
Integrating technology into complex intervention trial processes: a case study
(BioMed Central, 2016-11-17)Background Trials of complex interventions are associated with high costs and burdens in terms of paperwork, management, data collection, validation, and intervention fidelity assessment occurring across multiple sites. ... -
Physical Activity Self-Management and Coaching Compared to Social Interaction in Huntington Disease: Results From the ENGAGE-HD Randomized, Controlled Pilot Feasibility Trial
(Oxford University Press (OUP) / American Physical Therapy Association (APTA), 2017-03-24)Background. Self-management and self-efficacy for physical activity is not routinely considered in neurologic rehabilitation. Objective. This study assessed feasibility and outcomes of a 14-week physical activity ... -
Deep saliency: What is learnt by a deep network about saliency?
(International Machine Learning Society, 2017-08)Deep convolutional neural networks have achieved impressive performance on a broad range of problems, beating prior art on estab- lished benchmarks, but it often remains unclear what are the representations learnt by those ... -
Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras
(Institute of Electrical and Electronics Engineers (IEEE), 2017-10)Reconstruction of 3D environments is a problem that has been widely addressed in the literature. While many approaches exist to perform reconstruction, few of them take an active role in deciding where the next observations ... -
Different news for different views: Political news-sharing communities on social media through the UK General Election in 2015
(AAAI, 2016-05)Media exposure is a central concept in understanding the dynamics of public opinion and political change. Traditional models of media exposure have been severely challenged by the shift to online news consumption and ... -
Using social media to detect and locate wildfires
(AAAI, 2016-05)Methods for detecting and tracking natural hazards continue to increase in coverage, resolution and reliability. However, information on the social impacts of natural hazards is often lacking. Here we test the feasibility ... -
Towards measurement of the relationship between student engagement and learning outcomes at a bricks-and-mortar university
(CEUR Workshop Proceedings, 2017)The relationship between student engagement and learning outcomes has been extensively studied in the context of online learning. However, it has been less investigated in face-to-face learning. In this paper, we describe ... -
Impact of community structure on information transfer
(American Physical Society, 2008-03-03)The observation that real complex networks have internal structure has important implication for dynamic processes occurring on such topologies. Here we investigate the impact of community structure on a model of information ... -
Optimisation and Landscape Analysis of Computational Biology Models: A Case Study
(Association for Computing Machinery (ACM), 2017-07)The parameter explosion problem is a crucial bottleneck in modelling gene regulatory networks (GRNs), limiting the size of models that can be optimised to experimental data. By discretising state, but not time, Boolean ... -
Clustering of Hyper-heuristic Selections using the Smith-Waterman Algorithm for Off line Learning
(Association for Computing Machinery (ACM), 2017-07-19)Selection hyper-heuristics are methods that are typically used to solve computationally hard optimisation problems (see [1]). A selection hyper-heuristic selects heuristics from a given set of low level heuristics, deciding ... -
Data Integration Model for Air Quality: A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution
(arXiv.org, 2016-09-26)Air pollution is a major risk factor for global health, with both ambient and household air pollution contributing substantial components of the overall global disease burden. One of the key drivers of adverse health effects ... -
Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion
(Hindawi Publishing Corporation, 2017-05-11)Recently, Gaussian Process (GP) has attracted generous attention from industry. This article focuses on the application of coal fired boiler combustion and uses GP to design a strategy for reducing Unburned Carbon Content ... -
Geometric semantic genetic programming for recursive boolean programs
(Association for Computing Machinery (ACM), 2017)Geometric Semantic Genetic Programming (GSGP) induces a unimodal fitness landscape for any problem that consists in finding a function fitting given input/output examples. Most of the work around GSGP to date has focused ... -
University Staff Teaching Allocation: Formulating and Optimising a Many-Objective Problem
(Association for Computing Machinery (ACM), 2017-07-15)The allocation of university staff to teaching exhibits a range of often competing objectives. We illustrate the use of an augmented version of NSGA-III to undertake the seven-objective optimisation of this problem, to fi ... -
Alternative Infill Strategies for Expensive Multi-Objective Optimisation
(Association for Computing Machinery (ACM), 2017-07-15)Many multi-objective optimisation problems incorporate computationally or financially expensive objective functions. State-of-the-art algorithms therefore construct surrogate model(s) of the parameter space to objective ... -
Constraint Handling in Efficient Global Optimization
(Association for Computing Machinery (ACM), 2017-07)Real-world optimization problems are often subject to several constraints which are expensive to evaluate in terms of cost or time. Although a lot of effort is devoted to make use of surrogate models for expensive optimization ... -
On the Exploitation of Search History and Accumulative Sampling in Robust Optimisation
(Association for Computing Machinery (ACM), 2017-07-15)Efficient robust optimisation methods exploit the search history when evaluating a new solution by using information from previously visited solutions that fall in the new solution’s uncertainty neighbourhood. We propose ...