All Outputs (185)

SCaLe-QA: Sri Lankan case law embeddings for legal QA. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L., WIRATUNGA, N., ABEYRATNE, R., MARTIN, K., NKISI-ORJI, I. and WEERASINGHE, R. 2024. SCaLe-QU: Sri Lankan case law embeddings for legal QA. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 47-55. Available from: https://ceur-ws.org/Vol-3822/short6.pdf

SCaLe-QA is a foundational system developed for Sri Lankan Legal Question Answering (LQA) by leveraging domain-specific embeddings derived from Supreme Court cases. The system is tailored to capture the unique linguistic and structural characteristic... Read More about SCaLe-QA: Sri Lankan case law embeddings for legal QA..

Dual-task dialogue understanding. (2024)
Presentation / Conference Contribution
ANWAR, S., WIRATUNGA, N. and SNAITH, M. 2024. Dual-task dialogue understanding. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 40-46. Available from: https://ceur-ws.org/Vol-3822/short5.pdf

In dialogue systems, utterances do not occur in isolation. One conversation might involve interactions between several speakers. It's crucial to determine the intentions behind utterances in multi-party conversations when more than two interlocutors... Read More about Dual-task dialogue understanding..

Formal dialogue and large language models. (2024)
Presentation / Conference Contribution
SNAITH, M. and WELLS, S. 2024. Formal dialogue and large language models. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 24-31. Available from: https://ceur-ws.org/Vol-3822/short3.pdf

In this paper, we present preliminary work into combining formal models of dialogue and large language models, before going on to discuss how this provides a foundation for similar approaches involving computational models of argument. First, we addr... Read More about Formal dialogue and large language models..

Towards improving open-box hallucination detection in large language models (LLMs). (2024)
Presentation / Conference Contribution
SURESH, M., ALJUNDI, R., NKISI-ORJI, I. and WIRATUNGA, N. 2024. Towards improving open-box hallucination detection in large language models (LLMs). In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 1-10. Available from: https://ceur-ws.org/Vol-3822/paper1.pdf

Due to the increasing availability of Large Language Models (LLMs) through both proprietary and open-sourced releases of models, the adoption of LLMs across applications has drastically increased making them commonplace in day-to-day lives. Yet, the... Read More about Towards improving open-box hallucination detection in large language models (LLMs)..

Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. (2024)
Presentation / Conference Contribution
OFORI-BOATENG, R., ACEVES-MARTINS, M., WIRATUNGA, N. and MORENO-GARCIA, C.F. 2024. Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.). Proceedings of the 2024 SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822Aachen: CEUR-WS [online], pages 11-18. Available from: https://ceur-ws.org/Vol-3822/short1.pdf

Evidence-based medicine (EBM) is a foundational element in medical research, playing a crucial role in shaping healthcare policies and clinical decision-making. However, the rigorous processes required for EBM, particularly during the abstract screen... Read More about Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models..

Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. (2024)
Presentation / Conference Contribution
IRONSIDE, R. and ROITERSHTEIN, A. 2024. Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. Presented at the Roots revived conference: memory, legacy, heritage and tourism, 17 October 2024, Edinburgh, UK.

Prison museums have become an increasingly popular tourist attraction. Presenting visitors with stories and exhibits pertaining to countries' penal history, they engage with difficult and often dissonant heritage. Peterhead Prison Museum ceased opera... Read More about Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum..

iSee: advancing multi-shot explainable AI using case-based recommendations. (2024)
Presentation / Conference Contribution
WIJEKOON, A., WIRATUNGA, N., CORSAR, D., MARTIN, K., NKISI-ORJI, I., PALIHAWADANA, C., CARO-MARTÍNEZ, M., DÍAZ-AGUDO, B., BRIDGE, D. and LIRET, A. 2024. iSee: advancing multi-shot explainable AI using case-based recommendations. In Endriss, U., Melo, F.S., Bach, K., et al. (eds.) ECAI 2024: proceedings of the 27th European conference on artificial intelligence, co-located with the 13th conference on Prestigious applications of intelligent systems (PAIS 2024), 19–24 October 2024, Santiago de Compostela, Spain. Frontiers in artificial intelligence and applications, 392. Amsterdam: IOS Press [online], pages 4626-4633. Available from: https://doi.org/10.3233/FAIA241057

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the diverse needs of multiple users in an AI system; indeed, even individual u... Read More about iSee: advancing multi-shot explainable AI using case-based recommendations..

An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., LIU, D., FERNANDEZ, C. and BLAABJERG, F. 2024. An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. Journal of physics: conference series [online], 2853: proceedings of the 7th International conference on mechanical, electric and industrial engineering, 21-23 May 2024, Yichang, China, article number 012057. Available from: https://doi.org/10.1088/1742-6596/2853/1/012057

Capacity sorting is the primary prerequisite for the stepwise utilization of decommissioned power batteries. This study proposes an improved relative integral capacity-K-means clustering (RIC-KMC) method for preliminary sorting of decommissioned powe... Read More about An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries..

Evaluating the impact of ranging error in underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., STEWART, C., FOUGH, N. and KANNAN, S. 2024. Evaluating the impact of ranging error in underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 40-45. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765665

The study evaluated the impact of ranging error in underwater localization processes using SAR satellite data within the framework of Underwater Wireless Sensor Networks (UWSN). By integrating a pretrained ArcGIS deep learning model with SAR imagery,... Read More about Evaluating the impact of ranging error in underwater localization using SAR satellite data..

Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. (2024)
Presentation / Conference Contribution
STEWART, C., MUHAMMAD, A., FUNG, W.-K., FOUGH, N. and PRABHU, R. 2024. Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 46-51. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765751

Underwater Wireless Optical Communication (UWOC) is at the cutting edge of subsea networking, offering high capacity, low-latency, energy-efficient connectivity that offers many advantages over the acoustic standard which has been embedded in submers... Read More about Machine learning based underwater optical-acoustic communications channel switching for throughput improvement..

Underwater target detection analysis using spherical acoustic sensor arrays. (2024)
Presentation / Conference Contribution
SUNDAS, R., BAIG, N.A., NJUGUNA, J., RAHMAN, K.U. and FOUGH, N. 2024. Underwater target detection analysis using spherical acoustic sensor arrays. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 240-245. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765723

The need to identify and monitor the target by taking active measurements before it gets close enough to attack has grown due to advancements in marine technology. As underwater vehicular technology continues to progress, there is an increasing inter... Read More about Underwater target detection analysis using spherical acoustic sensor arrays..

Promptable sonar image segmentation for distance measurement using SAM. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., HASAN, M.J., KANNAN, S. and FOUGH, N. 2024. Promptable sonar image segmentation for distance measurement using SAM. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 229-233. Available from: https://doi.org/10.1109/metrosea62823.2024.10765703

The subsea environment presents numerous challenges for robotic vision, including non-uniform light attenuation, backscattering, floating particles, and low-light conditions, which significantly degrade underwater images. This degradation impacts rob... Read More about Promptable sonar image segmentation for distance measurement using SAM..

Securing underwater wireless communication with frequency-hopping spread spectrum. (2024)
Presentation / Conference Contribution
RAHMAN, K.U., FOUGH, N., MCDERMOTT, C.D., SUNDAS, R., BAIG, N. and KANNAN, S. 2024. Securing underwater wireless communication with frequency-hopping spread spectrum. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 266-271. Available from: https://doi.org/10.1109/metrosea62823.2024.10765656

The significance of subsea communication has increased substantially, with growing interest in replacing wired communication with wireless alternatives. However, subsea communication faces several challenges due to the harsh environment, including hi... Read More about Securing underwater wireless communication with frequency-hopping spread spectrum..

To give or not to give an antibiotic: the threat of antimicrobial resistance. (2024)
Presentation / Conference Contribution
TONNA, A. 2024. To give or not to give an antibiotic: the threat of antimicrobial resistance. Presented at the 20th Plenary meeting of the European Committee on Pharmaceuticals and Pharmaceutical Care (CD-P-PH), 1-2 October 2024, Strasbourg, France.

This presentation provides background on the (ab)use of antimicrobials and the problem of antimicrobial resistance. It further predicts the consequences of wide-spread antimicrobial resistance on the world's health systems and economies, and demonstr... Read More about To give or not to give an antibiotic: the threat of antimicrobial resistance..

Together in the encoding-assemblage: a new materialist framework for examining knowledge production in journalism. (2024)
Presentation / Conference Contribution
ANDERSON, B. 2024. Together in the encoding-assemblage: a new materialist framework for examining knowledge production in journalism. To be presented at the 10th European Communication Research and Education Association European communication conference (ECREA ECC 2024): communication and social (dis)order, 24-27 September 2024, Ljubljana, Slovenia.

Journalism's broken monopoly over the production of knowledge (Carlson, 2017; Ekström and Westlund, 2019) has led to an erosion of public trust in professional journalism and a general "epistemic crisis" of the present (Steensen, 2019). Pioneer journ... Read More about Together in the encoding-assemblage: a new materialist framework for examining knowledge production in journalism..

Exploring occupational irritant hand dermatitis amongst healthcare workers in NHS Grampian. [Poster] (2024)
Presentation / Conference Contribution
PAPADATOU, Z., WILLIAMS, H. and COOPER, K. 2024. Exploring occupational irritant hand dermatitis amongst healthcare workers in NHS Grampian. Presented at the 9th Occupational and environmental exposure of the skin to chemicals conference 2024 (OEESC 2024), 23-25 September 2024, Dulles, VA, USA.

Occupational Irritant Hand Dermatitis (OIHD) is emerging as an important risk caused by or made worse by work. OIHD can be responsible for significant and long-term health issues and can impact on the individual's employment. Healthcare workers are a... Read More about Exploring occupational irritant hand dermatitis amongst healthcare workers in NHS Grampian. [Poster].

Navigating STEM: challenges faced by Nigerian female secondary school students. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., ONOJA, O. and ONOSHAKPOR, C. 2024. Navigating STEM: challenges faced by Nigerian female secondary school students. In Proceedings of the 12th European conference on education (ECE 2024), 11-15 July 2024, London, UK. Nagoya: International Academic Forum (IAFOR) [online], pages 617-627. Available from: https://doi.org/10.22492/issn.2188-1162.2024.49

The persistent gender disparities in Science, Technology, Engineering, and Mathematics (STEM) fields stand as a significant barrier to realising the United Nations' Sustainable Development Goals (SDGs), particularly those related to gender equality (... Read More about Navigating STEM: challenges faced by Nigerian female secondary school students..

Virtual exchange (COIL): shaping the tourism workforce of the future. (2024)
Presentation / Conference Contribution
HARBERT, S. and ROITERSHTEIN, A. 2024. Virtual exchange (COIL): shaping the tourism workforce of the future. Presented at the 32nd Nordic symposium on tourism and hospitality research, 18-20 September 2024, Stavanger, Norway.

Significant and rapid changes in the world's climate, technology and geopolitics has created a new environment for the tourism industry, and for those that rely on it for their livelihoods. These changes create a demand for globally competent, cultur... Read More about Virtual exchange (COIL): shaping the tourism workforce of the future..

COIL and sustainability education in the Arctic region: developing the COIL@UArctic network. (2024)
Presentation / Conference Contribution
CRAWFORD, I. [2024]. COIL and sustainability education in the Arctic region: developing the COIL@UArctic network. To be presented at the 2024 European Association for International Education annual conference and exhibition (EAIE 2024), 17-20 September 2024, Toulouse, France.

COIL or Collaborative Online International Learning is a sustained educational approach where groups or individual students from one institution collaborate with groups or individual students from another institution, in a different country and/or cu... Read More about COIL and sustainability education in the Arctic region: developing the COIL@UArctic network..

Building personalised XAI experiences through iSee: a case-based reasoning-driven platform. (2024)
Presentation / Conference Contribution
CARO-MARTÍNEZ, M., LIRET, A., DÍAZ-AGUDO, B., RECIO-GARCÍA, J.A., DARIAS, J., WIRATUNGA, N., WIJEKOON, A., MARTIN, K., NKISI-ORJI, I., CORSAR, D., PALIHAWADANA, C., PIRIE, C., BRIDGE, D., PRADEEP, P. and FLEISCH, B. 2024. Building personalised XAI experiences through iSee: a case-based reasoning-driven platform. In Longo, L., Liu, W. and Montavon, G. (eds.) xAI-2024: LB/D/DC: joint proceedings of the xAI 2024 late-breaking work, demos and doctoral consortium, co-located with the 2nd World conference on eXplainable artificial intelligence (xAI 2024), 17-19 July 2024, Valletta, Malta. Aachen: CEUR-WS [online], 3793, pages 313-320. Available from: https://ceur-ws.org/Vol-3793/paper_40.pdf

Nowadays, eXplainable Artificial Intelligence (XAI) is well-known as an important field in Computer Science due to the necessity of understanding the increasing complexity of Artificial Intelligence (AI) systems or algorithms. This is the reason why... Read More about Building personalised XAI experiences through iSee: a case-based reasoning-driven platform..