All Outputs (2155)

Safety on the horizon: mapping human factors in offshore wind. (2025)
Presentation / Conference Contribution
ROBERTS, R. and FLIN, R. [2025]. Safety on the horizon: mapping human factors in offshore wind. Proceedings of the Human Factors and Ergonomics Society annual meeting [online], Online First: special issue on 69th Human Factors and Ergonomics Society (HFES) international advancing systems and practices through innovation, research and education (ASPIRE) annual meeting 2025. Available from: https://doi.org/10.1177/10711813251360007

Global wind energy is experiencing an unprecedented period of expansion. Such requirements present challenges concerning maintaining safety standards and training at scale with industry data indicating a range of hazards during operations and mainten... Read More about Safety on the horizon: mapping human factors in offshore wind..

Animals are my friends: exploring the relationship between animal companionship in childhood and moral concerns in adulthood. (2025)
Presentation / Conference Contribution
BERGER-MEUNIER, L., SMITH, D.S., MAREC-BRETON, N. and BONNETON-BOTTÉ, N. 2025. Animals are my friends: exploring the relationship between animal companionship in childhood and moral concerns in adulthood. Biology and life sciences forum [online], 45(1): selected papers from the 3rd International electronic conference on animal 2025 (IECA 2025), 12-14 March 2025, [virtual event], article number 2. Available from: https://doi.org/10.3390/blsf2025045002

Research on human–animal relationships suggests that close bonds with animals can enhance empathy, reduce speciesism, and improve human physical and psychological health. This study investigated whether pet ownership—particularly attachment to a comp... Read More about Animals are my friends: exploring the relationship between animal companionship in childhood and moral concerns in adulthood..

Modified CBAM: sub-block pooling for improved channel and spatial attention. (2025)
Presentation / Conference Contribution
HUSSAINI, H., BANO, S., ELYAN, E. and MORENO-GARCIA, C.F. 2026. Modified CBAM: sub-block pooling for improved channel and spatial attention. In Ali, S., Hogg, D.C. and Peckham, M. (eds.) Proceedings of the 29th Annual conference of the Medical image understanding and analysis 2025 (MIUA 2025), 15-17 July 2025, Leeds, UK. Lecture notes in computer science, 15917. Cham: Springer [online], part II, pages 116-130. Available from: https://doi.org/10.1007/978-3-031-98691-8_9

The Convolutional Block Attention Module (CBAM) has emerged as a widely adopted attention mechanism, as it seamlessly integrates into the Convolutional Neural Network (CNN) architecture with minimal computational overhead. However, its reliance on gl... Read More about Modified CBAM: sub-block pooling for improved channel and spatial attention..

Few-shot essay grading: weighted prototypical networks for ordinal text classification. (2025)
Presentation / Conference Contribution
WIJAYASEKARA, V.A., MARTIN, K., WIRATUNGA, N., MASSIE, S. and WIJEKOON, A. [2025]. Few-shot essay grading: weighted prototypical networks for ordinal text classification. To be presented at the 25th European conference on artificial intelligence 2025 (ECAI-2025), 25-30 October 2025, Bologna, Italy.

Automated Essay Scoring (AES) presents a key opportunity to improve student experience while reducing the administrative burden of academic staff. However existing methods for AES are reliant on large volumes of data and fail to consider the ordinal... Read More about Few-shot essay grading: weighted prototypical networks for ordinal text classification..

Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs. (2025)
Presentation / Conference Contribution
JAYAWARDENA, L., LIRET, A., WIRATUNGA, N., NKISI-ORJI, I. and FLEISCH, B. 2025. Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs. In Bichindaritz, I. and López, B. (eds.) Case-based reasoning research and development: proceedings of the 33rd International conference on case-based reasoning 2025 (ICCBR 2025), 30 June - 3 July 2025, Biarritz, France. Lecture notes in computer science (LNCS), 15662. Cham: Springer [online], pages 111-125. Available from: https://doi.org/10.1007/978-3-031-96559-3_8

The revision step in the Case-Based Reasoning (CBR) cycle ensures that cases are adaptable and that updates can be integrated meaningfully based on evaluation metrics. However, the effectiveness of this step heavily depends on how new knowledge is ac... Read More about Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs..

Improving geothermal resource assessment: a data-driven approach to chemical geothermometry using deep learning. (2025)
Presentation / Conference Contribution
ALGAIAR, M. 2025. Improving geothermal resource assessment: a data-driven approach to chemical geothermometry using deep learning. Presented at the 2025 SEG (Society of Exploration Geophysicists) Net-zero emissions workshop, 23-25 June 2025, [virtual event].

This study presents a deep learning model trained on a dataset of 674 water samples from Nevada to predict geothermal reservoir temperatures. The model outperforms traditional geothermometers and other machine learning models, achieving high accuracy... Read More about Improving geothermal resource assessment: a data-driven approach to chemical geothermometry using deep learning..

AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A. (2025)
Presentation / Conference Contribution
ABEYRATNE, R., WIRATUNGA, N., MARTIN, K., NKISI-ORJ, I. and JAYAWARDENA, L. 2025. AlignLLM: alignment-based evaluation using ensemble of LLMs-as judges for Q&A. In Bichindaritz, I. and López, B. (eds.) Case-based reasoning research and development: proceedings of the 33rd International conference on case-based reasoning 2025 (ICCBR 2025), 30 June - 3 July 2025, Biarritz, France. Lecture notes in computer science (LNCS), 15662. Cham: Springer [online], pages 21-36. Available from: https://doi.org/10.1007/978-3-031-96559-3_2

Evaluating responses generated by large language models (LLMs) is challenging in the absence of ground-truth knowledge, particularly in specialised domains such as law. Increasingly, LLMs themselves are used to evaluate the responses they generate; h... Read More about AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A..

Sustainable supply chains: beyond the final product. (2025)
Presentation / Conference Contribution
BREMNER, P. 2025. Sustainable supply chains: beyond the final product. Presented at the 2025 CQI/IRCA (Chartered Quality Institute/International Register of Certified Auditors) Quality live conference and awards ( Quality Live 2025): dreamers and disruptors: driving innovative, sustainable, competitive quality, 19 June 2025, London, UK.

Globally, the fashion industry produces around 92 million tonnes of textile waste annually. This contributes significantly to environmental pollution, with the industry responsible for 10% of global carbon emissions. We consume 62 million tonnes of t... Read More about Sustainable supply chains: beyond the final product..

GlucoPredict: an ensemble machine learning method using lifestyle, health, and socioeconomic factors to predict and prevent diabetes risk. (2025)
Presentation / Conference Contribution
KANTHASAMY, G. and PORAVI, G. 2025. GlucoPredict: an ensemble machine learning method using lifestyle, health, and socioeconomic factors to predict and prevent diabetes risk. In Arai, K. (eds.) Intelligent computing: proceedings of the 2025 Computing conference (CompCom 2025), 19-20 June 2025, London, UK. Lecture notes in networks and systems, 1424. Cham: Springer [online], 2, pages 345-360. Available from: https://doi.org/10.1007/978-3-031-92605-1_21

One of the most common chronic illnesses, diabetes affects millions of individuals annually and has a major negative economic impact. The two main characteristics of diabetes are either insufficient insulin production by the body or inefficient use o... Read More about GlucoPredict: an ensemble machine learning method using lifestyle, health, and socioeconomic factors to predict and prevent diabetes risk..

Comparison of match running demands between U18, reserve and first-team footballers. (2025)
Presentation / Conference Contribution
MAUGHAN, P., COWIE, G., MACFARLANE, N., SWINTON, P. and BURGESS, K. 2025. Comparison of match running demands between U18, reserve and first-team footballers. Presented at the 2025 World congress in science and soccer (WCSS 2025), 17-20 June 2025, Glasgow, UK.

The aim of this study was to investigate differences in match running demands between first-team, reserve, and U18 footballers. A retrospective, season-long study of 37 male professional footballers was undertaken. Total distance, low-intensity runni... Read More about Comparison of match running demands between U18, reserve and first-team footballers..

Determining the scope of the philosophy of computing education. (2025)
Presentation / Conference Contribution
MCDERMOTT, R., DANIELS, M., BROWN, J.N.A. and CAJANDER, Å. 2025. Determining the scope of the philosophy of computing education. In ITiCSE 2025: proceedings of the 30th ACM (Association for Computing Machinery) conference on Innovation and technology in computer science education 2025 (ITiCSE 2025), 30 June - 2 July 2025, Nijmegen, The Netherlands. New York: ACM [online], 1, pages 403-409. Available from: https://doi.org/10.1145/3724363.3729049

There are a number of different approaches to the investigation of teaching and learning within the subject of Computing Education. Many of the advances in pedagogy that have taken place over the past thirty years have been due to careful statistical... Read More about Determining the scope of the philosophy of computing education..

You shall go to the ball!: overcoming inhibitors to promote a higher education research culture at RGU. (2025)
Presentation / Conference Contribution
BREMNER, P. and MCGREGOR, R. 2025. You shall go to the ball!: overcoming inhibitors to promote a higher education research culture at RGU. Presented at the 2025 Advance HE research symposium: enablers and inhibitors of thriving research cultures, 17 June 2025, [virtual event].

In 2002 Alan Jenkins first referred Higher education research (HER) as the 'Cinderella of academia'. HER was really not recognised or valued by the 'ugly sisters' of the QAA and Research Assessment Exercise. Even after 20 years challenges still exist... Read More about You shall go to the ball!: overcoming inhibitors to promote a higher education research culture at RGU..

Monitoring load experienced by players during the transition from academy to professional soccer. (2025)
Presentation / Conference Contribution
MAUGHAN, P., BURGESS, K. and MACFARLANE, N. 2025. Monitoring load experienced by players during the transition from academy to professional soccer. Presented at the 2025 World congress in science and soccer (WCSS 2025), 17-20 June 2025, Glasgow, UK.

This study investigates the load experienced by players transitioning from academy to professional soccer and if subjective measures of training load able to give useful insights into training volumes and training intensity.

Enhancing decision making through similarity-driven knowledge integration in resource allocation and content matching. (2025)
Presentation / Conference Contribution
JAYAWARDENA, L. 2025. Enhancing decision making through similarity-driven knowledge integration in resource allocation and content matching. In Martin, K. and Ye, X. (eds.) ICCBR-WS 2025: joint proceedings of the workshops and doctoral consortium at the 33rd International conference on case-based reasoning (ICCBR-WS 2025) co-located with the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June 2025, Biarritz, France. CEUR workshop proceedings, 3993. Aachen: CEUR-WS [online], pages 90-94. Available from: https://ceur-ws.org/Vol-3993/short7.pdf

This research aims to build a novel framework that enhances decision-making through an integration of similarity driven Case-Based Reasoning (CBR) with advanced Large Language Model (LLM) techniques via Retrieval Augmented Generation (RAG) and Geneti... Read More about Enhancing decision making through similarity-driven knowledge integration in resource allocation and content matching..

Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain. (2025)
Presentation / Conference Contribution
ABEYRATNE, R. 2025. Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain. In Martin, K. and Ye, X. (eds.) ICCBR-WS 2025: joint proceedings of the workshops and doctoral consortium at the 33rd International conference on case-based reasoning (ICCBR-WS 2025) co-located with the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June 2025, Biarritz, France. CEUR workshop proceedings, 3993. Aachen: CEUR-WS [online], pages 68-73. Available from: https://ceur-ws.org/Vol-3993/short1.pdf

This research investigates the integration of Case-Based Reasoning (CBR) with Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs) to enhance the reliability of legal question-answering systems. Thus far, we have developed a structur... Read More about Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain..

Agentic CBR in action: empowering loan approvals through interactive, counterfactual explanations. (2025)
Presentation / Conference Contribution
SALIMI, P., WIRATUNGA, N. and CORSAR, D. 2025. Agentic CBR in action: empowering loan approvals through interactive, counterfactual explanations. In Martin, K. and Ye, X. (eds.) ICCBR-WS 2025: joint proceedings of the workshops and doctoral consortium at the 33rd International conference on case-based reasoning (ICCBR-WS 2025) co-located with the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June 2025, Biarritz, France. CEUR workshop proceedings, 3993. Aachen: CEUR-WS [online], pages 27-42. Available from: https://ceur-ws.org/Vol-3993/paper3.pdf

Large Language Models (LLMs) have demonstrated impressive conversational capabilities, yet their susceptibility to hallucinations and inconsistent recommendations poses significant risks in high-stakes domains such as finance. This paper presents an... Read More about Agentic CBR in action: empowering loan approvals through interactive, counterfactual explanations..

Natural XAI: generating feasible, actionable, and causally-aware counterfactual explanations in natural language. (2025)
Presentation / Conference Contribution
SALIMI, P. 2025. Natural XAI: generating feasible, actionable, and causally-aware counterfactual explanations in natural language. In Martin, K. and Ye, X. (eds.) ICCBR-WS 2025: joint proceedings of the workshops and doctoral consortium at the 33rd International conference on case-based reasoning (ICCBR-WS 2025) co-located with the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June 2025, Biarritz, France. CEUR workshop proceedings, 3993. Aachen: CEUR-WS [online], pages 95-99. Available from: https://ceur-ws.org/Vol-3993/short9.pdf

Counterfactual explanations have become a significant component in eXplainable AI (XAI), offering intuitive "what if" scenarios. However, typical numeric or tabular outputs can be vague to non-technical audiences. Additionally, many counterfactual me... Read More about Natural XAI: generating feasible, actionable, and causally-aware counterfactual explanations in natural language..

An evolutionary neural architecture search-based approach for time series forecasting. (2025)
Presentation / Conference Contribution
VU, T.H., NGUYEN, T.T. and ELYAN, E. 2025. An evolutionary neural architecture search-based approach for time series forecasting. In Proceedings of the 2025 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2025), 8-12 June 2025, Hangzhou, China. Piscataway: IEEE [online], article number 11043002, pages 1-8. Available from: https://doi.org/10.1109/cec65147.2025.11043002

Time series forecasting (TSF) is one of the most prevalent research topics in artificial intelligence and has garnered significant attention in the research community. In recent years, significant breakthroughs have been made in TSF research, shiftin... Read More about An evolutionary neural architecture search-based approach for time series forecasting..

Assessing whole life carbon impacts of retrofitting Canada's 19th and early 20th century homes towards net-zero. (2025)
Presentation / Conference Contribution
MANCINI, A., SEDIKKI, M. and SCOTT, J. 2025. Assessing whole life carbon impacts of retrofitting Canada's 19th and early 20th century homes towards net-zero. In Kouider, T. and Galiano Garrigós, A. (eds.) Proceedings of the 11th International congress on architectural technology 2025 (ICAT 2025): buildings fit for climate change, 15-17 May 2025, Alicante, Spain. San Vicente del Raspeig: Universidad de Alicante [online], pages 355-369. Available from: http://hdl.handle.net/10045/154581

The ongoing climate crisis provides a unique challenge within the residential sector to reduce greenhouse gas emissions by 2050 in response to Canada's net-zero goal. Although legislation has been put in place to address the decarbonisation of the ex... Read More about Assessing whole life carbon impacts of retrofitting Canada's 19th and early 20th century homes towards net-zero..

Circular economy in construction: a review of existing policies, strategies and standards in Scotland and Europe. (2025)
Presentation / Conference Contribution
VICTORIA, M. and CHAWLA, V. 2025. Circular economy in construction: a review of existing policies, strategies and standards in Scotland and Europe. In Kouider, T. and Galiano Garrigós, A. (eds.) Proceedings of the 11th International congress on architectural technology 2025 (ICAT 2025): buildings fit for climate change, 15-17 May 2025, Alicante, Spain. San Vicente del Raspeig: Universidad de Alicante [online], pages 37-52. Available from: http://hdl.handle.net/10045/154562

The built environment (that includes all the constructed artificial structures like buildings and infrastructure) is essential for the economic development of a country. The demolition of assets at the end of their useful life cycle generates large v... Read More about Circular economy in construction: a review of existing policies, strategies and standards in Scotland and Europe..