• Ontology Text Alignment: Aligning Textual Content to Terminological Axioms 

  Jieying, C; Dong, H; Jiaoyan, C; et al. (ECAI 2024, 2024)

  Despite the impressive advancements in Large Language Models (LLMs), their ability to perform reasoning and provide explainable outcomes remains a challenge, underscoring the continued relevance of ontologies in certain ...

• Packaging code and data for reproducible research: A case study of journey time statistics 

  Botta, F; Lovelace, R; Gilbert, L; et al. (SAGE Publications, 24 July 2024)

  The effective and ethical use of data to inform decision-making offers huge value to the public sector, especially when delivered by transparent, reproducible, and robust data processing workflows. One way that governments ...

• Rail journey cost calculator for Great Britain 

  Botta, F (SAGE Publications, 23 August 2024)

  Accessibility of different places, such as hospitals or areas with jobs, is important in understanding transportation systems, urban environments, and potential inequalities in what services and opportunities different ...

• Scalable Local Optima Networks for Continuous Search Spaces 

  Fieldsend, JE (Springer, 2024)

  Local optima networks (LONs) are a compact graph-based visualisation and characterisation approach to represent the fitness land scape of an optimisation problem. LONs are most frequently generated for combinatorial problems, ...

• Discovering Trade-offs in Fairness and Accuracy: A Multi-Objective Approach 

  Chowdhry, A; Aishwaryaprajna; Narayan, A; et al. (MODeM 2024, 20 October 2024)

  In recent years, there has been a shift from focusing exclusively on the accuracy of machine learning systems to a more holistic and human-centered approach that includes privacy, fairness, transparency and more. Many of ...

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