Outputs (8)

Film genre prediction and analysis using multimodal embeddings from large models: The case of noir (2025)
Journal Article

We used embeddings (numerical representations) from open-sourced language and image models to compare and contrast films in the “noir” and “neo-noir” genres with each other and with those in other genres, using as proxy sources the available plot sum... Read More about Film genre prediction and analysis using multimodal embeddings from large models: The case of noir.

Domain-specific implications of error-type metrics in risk-based software fault prediction (2025)
Journal Article

In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on the varyi... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Scope and arbitration in machine learning clinical EEG classification (2023)
Presentation / Conference Contribution

A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and these windows inherit... Read More about Scope and arbitration in machine learning clinical EEG classification.

Understanding people's perceptions of their liveable neighbourhoods: A case study of East Bristol (2023)
Presentation / Conference Contribution

Liveable neighbourhoods are urban planning initiatives that aim to improve the quality of residential areas. In this paper, we focus on the East Bristol Liveable Neighbourhood (EBLN) to understand people’s perceptions of their neighbourhood’s urban r... Read More about Understanding people's perceptions of their liveable neighbourhoods: A case study of East Bristol.

Computer vision and IoT research landscape for health and safety management on construction sites (2023)
Journal Article

Aims: Perform a systematic review of current literature to evaluate and summarise the health and safety hazards on construction sites. Methods: Science Direct, SCOPUS and web of science databases were searched for research articles published from 201... Read More about Computer vision and IoT research landscape for health and safety management on construction sites.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

Personalised learning through context-based adaptation in the serious games with gating mechanism (2023)
Journal Article

When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's abi... Read More about Personalised learning through context-based adaptation in the serious games with gating mechanism.

10 is the safest number that there's ever been (2022)
Journal Article

When checking frequency and magnitude tables for disclosure risk, the cell threshold (the minimum number of observations in each cell) is a crucial parameter. In rules-based environments, this is a hard limit on what can or can't be published. In pri... Read More about 10 is the safest number that there's ever been.