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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

Indies in Scotland: exploring the unique role of independent bookshops in Scotland’s towns and villages. (2020)
Journal Article
LAING, A. [2020]. Indies in Scotland: exploring the unique role of independent bookshops in Scotland’s towns and villages. Publishing research quarterly [online], (accepted). To be made available from: https://doi.org/10.1007/s12109-020-09759-5

This project explores the business practices and cultural place of independent bookshops in Scotland. The research examines the connections that independent bookshops have with their various stakeholders, and investigates the support and policy chang... Read More about Indies in Scotland: exploring the unique role of independent bookshops in Scotland’s towns and villages..

Naive bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation. (2020)
Journal Article
WICKRAMASINGHE, I. and KALUTARAGE, H. [2020]. Naive bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation. Soft computing [online], Online first. Available from: https://doi.org/10.1007/s00500-020-05297-6

Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but efficient algorithm with a wide variety of real-world applications, ranging from product recommendations through medical diagnosis to controlling autonomous v... Read More about Naive bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation..

Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection. (2020)
Conference Proceeding
MORENO-GARCÍA, C.F., DANG, T., MARTIN, K., PATEL, M., THOMPSON, A., LEISHMAN, L. and WIRATUNGA, N. 2020. Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection. In Bach, K., Bunescu, R., Marling, C. and Wiratunga, N. (eds.) Knowledge discovery in healthcare data 2020: proceedings of the 5th Knowledge discovery in healthcare data international workshop 2020 (KDH 2020), co-located with 24th European Artificial intelligence conference (ECAI 2020), 29-30 August 2020, [virtual conference]. CEUR workshop proceedings, 2675. Aachen: CEUR-WS [online], pages 63-70. Available from: http://ceur-ws.org/Vol-2675/paper10.pdf

Fracture detection has been a long-standingparadigm on the medical imaging community. Many algo-rithms and systems have been presented to accurately detectand classify images in terms of the presence and absence offractures in different parts of the... Read More about Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection..

Personalised meta-learning for human activity recognition with few-data. (2020)
Conference Proceeding
WIJEKOON, A. and WIRATUNGA, N. [2020]. Personalised meta-learning for human activity recognition with few-data. To be presented at 40th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) Artificial intelligence international conference 2020 (AI-2020), 8-9 December 2020, [virtual conference]. Lecture notes in artificial intelligence. Cham: Springer, (accepted).

State-of-the-art methods of Human Activity Recognition (HAR) rely on having access to a considerable amount of labelled data to train deep architectures with many train-able parameters. This becomes prohibitive when tasked with creating models that... Read More about Personalised meta-learning for human activity recognition with few-data..

Liability of employers for third party harassment in the UK. (2020)
Journal Article
MIDDLEMISS, S. [2020]. Liability of employers for third party harassment in the UK. International journal of law and management [online], Early Cite. Available from: https://doi.org/10.1108/IJLMA-06-2020-0171

The #metoo movement in dramatic form brought the issue of sexual harassment in the workplace to the fore in all sectors and industries in the United Kingdom. Organisations that are perceived or reported to be involved in inappropriate sexual conduct... Read More about Liability of employers for third party harassment in the UK..


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