Information Science
Recent Deposits
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Graph-structured populations and the Hill–Robertson effect
The Hill–Robertson effect describes how, in a finite panmictic diploid population, selection at one diallelic locus reduces the fixation probability of a selectively favoured allele at a second, linked diallelic locus. ... -
Deep generative models for transductive transfer learning
To achieve satisfactory generalization abilities, machine learning models usually require large amounts of labelled data. However, data labelling is very costly, even in the era of big data. Transductive transfer learning ... -
Ensemble learning through cooperative evolutionary computation
Building ensembles of classifiers is an active area of research for machine learning, with the fundamental goal of combining the predictions of multiple classifiers to improve prediction accuracy over an individual classifier. ... -
ECG Classification with Patient-Dependent Normalization and Multi-step Classifier.
Electrocardiogram (ECG) is an important tool for monitoring abnormal heartbeats. Machine learning has been used to facilitate the process of identifying the beats from the ECG data. In this research, we undertook the ... -
People and processes during decision-making in open source software communities: A case study of Python
Open Source Software Development (OSSD) communities are often able to produce high quality software comparable to proprietary software. The success of an OSSD community is often attributed to the underlying governance ... -
Prioritisation of requests, bugs and enhancements pertaining to apps for remedial actions. Towards solving the problem of which app concerns to address initially for app developers
Useful app reviews contain information related to the bugs reported by the app’s end-users along with the requests or enhancements (i.e., suggestions for improvement) pertaining to the app. App developers expend exhaustive ... -
Optimal coalition structure generation on large-scale renewable energy smart grids
Most renewable energy sources are dependent on unpredictable weather conditions, which have considerable variation over space and time. The intermittent nature of this production means that any renewable energy prosumer ... -
Investigating Cultural Dimensions via Developers Artefacts: The Utility of Repository Mining
A growing body of research is using artefacts from online development communities to explore the impact of developers’ behaviours on the software development process. Although this research has produced many insights, ... -
Agent-based models of long-distance trading societies
Studying historical trading societies helps us to identify the institutions (e.g. rules) and characteristics that lead to their success or failure. Historically, long-distance trading societies, as a more particular example ... -
Removing spatial boundaries in immersive mobile communications
Despite a worldwide trend towards mobile computing, current telepresence experiences focus on stationary desktop computers, limiting how, when, and where researched solutions can be used. In this thesis I demonstrate that ... -
Investigating value propositions in social media: studies of brand and customer exchanges on Twitter
Social media presents one of the richest forums to investigate publicly explicit brand value propositions and its corresponding customer engagement. Seldom have researchers investigated the nature of value propositions ... -
Interaction and Emotional Response in Immersive Virtual Reality Learning Environments
Virtual Reality (VR) is seen as a promising tool for effective education. The flexibility, controllability, and interactive capabilities of VR allow for a range of immersive experiences. This presents an opportunity for ... -
Energy efficiency: modelling and performance analysis of self-powered sensors
The idea of employing harvested energy from human motion to run electronic devices such as self-powered sensors in fitness gadgets is attracting increased attention of many researchers. However, there is still limited ... -
Closing Price Manipulation and Market Quality
This thesis examines the impact of closing price manipulation (“marking the close”) on several dimensions of equity market quality, including both the efficiency and integrity of equity markets. Marking the close is an ... -
Human Activity Recognition in Smart Homes
There is an increasing interest in activity recognition analysis due to the tremendous growth of sensors and devices that have recently brought significant attention to smart homes research which promotes inhabitants' ... -
Accountability for Practical Reasoning Agents
Artificial intelligence has been increasing the autonomy of man-made artefacts such as software agents, self-driving vehicles and military drones. This increase in autonomy together with the ubiquity and impact of such ... -
Dynamic Demand Response in Residential Prosumer Collectives
This research aims at exploring how smart grid opportunities can be leveraged to ameliorate demand response practices for residential prosumer collectives, while meeting the needs of end-users and power grids. Electricity ... -
An Adaptable Long-term Condition Workload Prediction Model for Primary Health Care
The primary health care (PHC) system must manage the growing demand for care due to patients with long-term conditions (LTCs) such as diabetes, hypertension, and asthma. Population-based care can help address this workload ... -
Towards Energy-Aware Optimisation of Business Processes
Time dependent energy tariffs are a matter of concern to managers in organisations, who need to rethink how to allocate resources to business processes so that they take into account energy costs. However, due to the ... -
Capturing the effect of personality on teams with agent-based modelling
Continuing advances in information and communication technology (ICT) have changed the landscape of project management. Now there are increasing occurrences of short-term projects staffed by ad hoc assemblies of temporary ...