School of Computer Science and Statistics
Academic/Research Units within this Academic/Research Unit
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Computer Science
Computer Science -
Statistics
Statistics
Recent Submissions
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Metamorphic Testing for Pose Estimation Systems
(2025)Pose estimation systems are used in a variety of fields, from sports analytics to livestock care. Given their potential impact, it is paramount to systematically test their behaviour and potential for failure. This is a ... -
Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data
(2024)Object detection often struggles when applied to low-resource, domain-specific datasets. This challenge is exacerbated when dealing with sports-related data such as rugby, where fast-paced gameplay and tackles result ... -
Evaluating the Influence of Vocal and Visual Realism on Subjective Experiences of Empathy for Virtual Characters
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2025)With the expanding range of use cases for advancements in animation and voice synthesis, more opportunities arise for interactions with realistic virtual characters. As yet, it is unclear to what extent realism, either in ... -
Tangible Interface for Creating Virtual Cutaways in Mixed Reality
(Springer Nature, 2024)In this paper, we discuss work-in-progress research on tangible interfaces for interactive cutaway visualizations in Mixed Reality (MR). We present an approach that allows users to flexibly and intuitively define virtual ... -
Understanding Readiness and Motivation for Digital Mental Health Support
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2025)Psychological therapy is an effective and acceptable form of care for distress, however, there is a vast disparity between the number of people who are suffering and those receiving support. Digital mental health interventions ... -
Semantic Frameworks to Support the EU AI Act's Risk Management and Documentation
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, School of Computer Science and Statistics, 2025)The European Union (EU) Artificial Intelligence Act (AI Act), which entered into force on 1 August 2024, stands as a landmark legal regime for development and use of AI, adopting a risk-based approach to govern the potential ... -
Theoretical developments of modelling techniques and novel visualisations for studying the biodiversity and ecosystem function relationship; and their application for calculating the economic value of biodiversity.
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)The biodiversity and ecosystem function (BEF) relationship studies how species diversity within an ecosystem affects the outputs (called ecosystem functions) the system produces. In recent decades, there has been great ... -
Design and Analysis of Biodiversity Experiments
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)Biodiversity and ecosystem functioning (BEF) relationships define the ways in which the diversity of species in an ecosystem drive the quantity and quality of the goods and services provided. Species diversity may be defined ... -
Towards a Human Rights-Based Approach to Ethical AI Governance in Europe
(2024)As AI-driven solutions continue to revolutionise the tech industry, scholars have rightly cautioned about the risks of ‘ethics washing’. In this paper, we make a case for adopting a human rights-based ethical framework ... -
Synthesising character animation using statistical models, perception, and databases of motion
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)Computer generated virtual humaus are an important part of many 3D graphical applications, with a range of purposes from entertainment to education. Character animators generated characters with varying degrees in both ... -
Algorithms for subitemset isomorphisms and applications to sorting networks
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)Our work, presented in this thesis, is based on our curiosity for proving optimality of sorting networks. The only feasible method (so far) of proving optimality of sorting networks is to derive a so-called 'computer-assisted' ... -
A Finite-State approach to the Event Calculus and Type Coercion
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)The Event Calculus (EC) and Finite-State Temporality are two very different formalisms that both address Temporal Semantics. The link between these formalisms is Monadic Second-Order Logic (MSO). Real-line models for the ... -
Finding diachronic sense changes by unsupervised methods
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)An existing word in a language may acquire a new meaning as time passes, in addition to meanings it already possesses. Such a new word meaning pairing is called a semantic neologism. An example of a semantic neologism in ... -
Modelling plausible steering behaviours for autonomous virtual humans in complex environments
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)In order to create plausible virtual humans it is important to model their movement and interactions with their environment in an accurate and realistic manner. A lot of time and effort is spent by artists and engineers ... -
How (not) to design an Internet : principles and properties of network architectures
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)The TCP/IP internet architecture (IA) has been tremendously successful and the Internet has become a dominating component in the world's economic and political landscapes. However, the Internet is based on a prototype ... -
Homomorphic encryption in the attribute-based setting
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)The main research question addressed by this thesis is whether we can combine a cryptographic primitive called homomorphic encryption with a cryptographic primitive called attribute based encryption. Firstly, let us define ... -
A framework for measuring the training efficiency of a neural architecture
(2024)Measuring Efficiency in neural network system development is an open research problem. This paper presents an experimental framework to measure the training efficiency of a neural architecture. To demonstrate our approach, ... -
Understanding the Social and Technical Challenges of Fairness in Digital Health
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2024)Fairness is broadly defined as the act of treating similar people similarly and in line with social norms. It is not a new topic of research. Fairness, as it relates to ethics and justice, has been a topic of discussion ... -
Safe CAV lane changes using MARL and control barrier functions
(2024)Connected and Autonomous Vehicles (CAVs) are expected to improve road safety and traffic efficiency in the near future. Recently, Multi-Agent Reinforcement Learning (MARL) algorithms have been applied to optimise lane change ... -
Multi-task learning for predicting quality-of-life and independence in activities of daily living after stroke: a proof-of-concept study
(2024)A health-related (HR) profile is a set of multiple health-related items recording the status of the patient at different follow-up times post-stroke. In order to support clinicians in designing rehabilitation treatment ...