Informatics, School of
The School of Informatics brings together research in Computer Science, Cognitive Science, Computational Linguistics and Artificial Intelligence. It provides a fertile environment for a wide range of interdisciplinary studies, leading to this new science of Informatics.
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Unsupervised Learning of Relational Entailment Graphs from Text
(The University of Edinburgh, 2021-07-31)Recognizing textual entailment and paraphrasing is critical to many core natural language processing applications including question answering and semantic parsing. The surface form of a sentence that answers a question ... -
Computational and neuroimaging approaches to major depressive disorder
(The University of Edinburgh, 2020-11-30)Major depression is a severely debilitating psychiatric condition with high prevalence and substantial economic impact. However, its aetiology is largely unknown, mechanistic understanding remains limited, and treatment ... -
Human genome interaction: models for designing DNA sequences
(The University of Edinburgh, 2020-11-30)Since the turn of the century, the scope and scale of Synthetic Biology projects have grown dramatically. Instead of limiting themselves to simple genetic circuits, researchers aim for genome-scale organism redesigns, ... -
Generalisation in deep reinforcement learning with multiple tasks and domains
(The University of Edinburgh, 2020-11-30)A long standing vision of robotics research is to build autonomous systems that can adapt to unforeseen environmental perturbations and learn a set of tasks progressively. Reinforcement learning (RL) has shown great ... -
Analytics of time management strategies in online learning environments: a novel methodological approach
(The University of Edinburgh, 2020-11-30)The emergence of technology-supported education, e.g., blended and online, has changed the global higher education landscape. Importantly, the new learning modes involve more complex tasks and challenging ways of learning ... -
Unsupervised learning with neural latent variable models
(The University of Edinburgh, 2020-11-30)Latent variable models assume the existence of unobserved factors that are responsible for generating observed data. Deep latent variable models that make use of neural components are effective at modelling and learning ... -
On the foundations of proof-of-work based blockchain protocols
(The University of Edinburgh, 2020-11-30)Proof-of-work (PoW) based blockchain protocols, are protocols that organize data into blocks, connected through the use of a hash function to form chains, and which make use of PoW to reach agreement, i.e., proofs ... -
Tracing learning strategies in online learning environments: a learning analytics approach
(The University of Edinburgh, 2020-07-28)Learning has expanded beyond formal education; yet, students continue to face the challenge of how to effectively direct their learning. Among the processes of learning, the selection and application of learning tactics ... -
Self-directed learning in new and changing environments: understanding human algorithms for exploration
(The University of Edinburgh, 2020-07-25)In order to act, plan, and achieve goals, people must learn about their environment and the outcome of possible actions. One reason for human successes in developing new theories and strategies when confronted with new ... -
Formal modelling and approximation-based analysis for mode-switching population dynamics
(The University of Edinburgh, 2020-07-25)This thesis explores aspects of model specification and analysis for population dynamics which arise when modelling complex interactions and communication structures in agent or component collectives. The motivating ... -
Relational reasoning for effects and handlers
(The University of Edinburgh, 2020-07-25)This thesis studies relational reasoning techniques for FRANK, a strict functional language supporting algebraic effects and their handlers, within a general, formalised approach for completely characterising observational ... -
Approximating neural machine translation for efficiency
(The University of Edinburgh, 2020-07-25)Neural machine translation (NMT) has been shown to outperform statistical machine translation. However, NMT models typically require a large number of parameters and are expensive to train and deploy. Moreover, its large ... -
Formalising cryptography using CryptHOL.
(The University of Edinburgh, 2020-06-25)Security proofs are now a cornerstone of modern cryptography. Provable security has greatly increased the level of rigour of the security statements, however proofs of these statements often present informal or incomplete ... -
Modelling the psychophysics of eye movements in a large corpus of binocular reading behaviours
(The University of Edinburgh, 2020-06-25)The position and shape of the pupil entrance of the eye plays a central role in video-based eye-tracking. As a result, any unexpected translation and deformation of the pupil image on camera may introduce systematic ... -
Novel platform for topic group mining, crowd opinion analysis and opinion leader identification in on-line social network platforms
(The University of Edinburgh, 2020-06-25)In recent years, topic group mining and massive crowd opinion analysis from on-line social network platforms have become some of the most important tasks not only in research area but also in industry. Systems of this sort ... -
Interpretation of multi-parametric statistical models of large scale neuronal network activity
(The University of Edinburgh, 2020-06-25)Multi-parametric statistical models have been shown to be successful in characterising the statistical properties of neuronal network activity for large scale populations, in a variety of in vitro and in vivo experimental ... -
Addressing variability in reuse prediction for last-level caches
(The University of Edinburgh, 2020-06-25)Last-Level Cache (LLC) represents the bulk of a modern CPU processor's transistor budget and is essential for application performance as LLC enables fast access to data in contrast to much slower main memory. Problematically, ... -
Compositional Taylor model based validated integration
(The University of Edinburgh, 2020-06-25)Validated integration is a family of methods that compute enclosures for sets of initial conditions in the Initial Value Problems. The Taylor model based validated integration methods use truncated Taylor series to approximate ... -
Visual articulated tracking in cluttered environments
(The University of Edinburgh, 2020-06-25)This thesis is concerned with the state estimation of an articulated robotic manipulator during interaction with its environment. Traditionally, robot state estimation has relied on proprioceptive sensors as the single ... -
Analysing system behaviour by automatic benchmarking of system-level provenance
(The University of Edinburgh, 2020-06-25)Provenance is a term originating from the work of art. It aims to provide a chain of information of a piece of arts from its creation to the current status. It records all the historic information relating to this piece ...
