Outputs (235)

Deep learning for Crack Detection on Masonry Façades using Limited Data and Transfer Learning (2023)
Journal Article

Crack detection in masonry façades is a crucial task for ensuring the safety and longevity of buildings. However, traditional methods are often time-consuming, expensive, and labour-intensive. In recent years, deep learning techniques have been appli... Read More about Deep learning for Crack Detection on Masonry Façades using Limited Data and Transfer Learning.

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation (2023)
Journal Article

This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence... Read More about Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.

Confronting ethical and social issues related to the genetics of musicality (2023)
Journal Article

New interdisciplinary research into genetic influences on musicality raises a number of ethical and social issues for future avenues of research and public engagement. The historical intersection of music cognition and eugenics heightens the need to... Read More about Confronting ethical and social issues related to the genetics of musicality.

Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges (2023)
Journal Article

Online judges (OJ) are a popular tool to support programming learning. However, one major issue with OJs is that problems are often put together without any associated meta-information that could, for example, be used to help classify problems. This... Read More about Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges.

Using deep learning to analyze the psychological effects of COVID-19 (2023)
Journal Article

Problem: Sentiment Analysis (SA) automates the classification of the sentiment of people’s attitudes, feelings or reviews employing natural language processing (NLP) and computational approaches. Deep learning has recently demonstrated remarkable suc... Read More about Using deep learning to analyze the psychological effects of COVID-19.

An Interactional Account of Empathy in Human-Machine Communication (2023)
Journal Article

Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine commun... Read More about An Interactional Account of Empathy in Human-Machine Communication.

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation (2023)
Journal Article

Massive Online Open Course (MOOC) platforms are considered a distinctive way to deliver a modern educational experience, open to a worldwide public. However, student engagement in MOOCs is a less explored area, although it is known that MOOCs suffer... Read More about The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.

How Personalization Affects Motivation in Gamified Review Assessments (2023)
Journal Article

Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students’ motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring mul... Read More about How Personalization Affects Motivation in Gamified Review Assessments.

Automated Detection of Substance-Use Status and Related Information from Clinical Text (2022)
Journal Article

This study aims to develop and evaluate an automated system for extracting information related to patient substance use (smoking, alcohol, and drugs) from unstructured clinical text (medical discharge records). The authors propose a four-stage system... Read More about Automated Detection of Substance-Use Status and Related Information from Clinical Text.

COVID-19 and Science Advice on the ‘Grand Stage’: The Metadata and Linguistic Choices in a Scientific Advisory Groups’ Meeting Minutes. (2022)
Journal Article

Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic (2022)
Journal Article

The digital divide is especially pertinent in Majority World Countries (MWCs), and this was exacerbated greatly by the pandemic. Tackling the digital divide underpins the work of Human–Computer Interaction for Development (HCI4D) and remains an impor... Read More about Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic.

The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing (2021)
Journal Article

Interactive storytelling for children: A case-study of design and development considerations for ethical conversational AI (2022)
Journal Article

The Tonal Diffusion Model (2020)
Journal Article

How Do We Build Practical Systems Involving Ethics and Trust? (2019)
Journal Article

Narrative perspective, person references, and evidentiality in clinical incident reports (2017)
Journal Article

The Impact of Voice Leading and Harmony on Musical Expectancy (2020)
Journal Article

Discretisation and Continuity: The Emergence of Symbols in Communication (2021)
Journal Article

Radiological Method for Measuring Patellofemoral Tracking and Tibiofemoral Kinematics before and after Total Knee Replacement (2012)
Journal Article

Computed Tomography Analysis of Knee Pose and Geometry before and after Total Knee Arthroplasty (2012)
Journal Article