Now showing items 22-28 of 28

  • mHealth optimisationfor education and physical activity in type 1 diabetes: MEDPAT1. 

    Hall, J.; Stephen, K.; Croall, A.; MacMillan, J.; Murray, L.; Wiratunga, Nirmalie; Massie, Stewart; MacRury, S. (University of Highlands and Islands/RGU/Diabetes Scotland, 2017-03-08)
    HALL, J., STEPHEN, K., CROALL, A., MACMILLAN, J., MURRAY, L., WIRATUNGA, N., MASSIE, S. and MACRURY, S. 2017. mHealth optimisation for education and physical activity in Type 1 diabetes: MEDPAT1. Presented at the Diabetes UK professional conference 2017, 8 - 10 March 2017, Manchester, UK.
    Aims: To develop and evaluate usability of prototype personalised prediction algorithms for people with Type 1 diabetes to optimise blood glucose control associated with physical activity using smart phone technology. To ...
  • Predicting emotional reaction in social networks. 

    Clos, Jérémie; Bandhakavi, Anil; Wiratunga, Nirmalie; Cabanac, Guillaume (Springer, 2017-04-08)
    CLOS, J., BANDHAKAVI, A., WIRATUNGA, N. and CABANAC, G. 2017. Predicting emotional reaction in social networks. Lecture notes in computer science, 10193: proceedings of the 39th European conference on information retrieval 2017 (ECIR 2017): advances in information retrieval, 9-13 April 2017, Aberdeen, UK. Cham: Springer [online], pages 527-533. Available from:
    Online content has shifted from static and document-oriented to dynamic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social ...
  • Representation and learning schemes for sentiment analysis. 

    Mukras, Rahman (The Robert Gordon University School of Computing, 2009-01)
    This thesis identifies four novel techniques of improving the performance of sentiment analysis of text systems. Thes include feature extraction and selection, enrichment of the document representation and exploitation of ...
  • Role of semantic indexing for text classification. 

    Sani, Sadiq (Robert Gordon University School of Computing Science and Digital Media, 2014-09)
    The Vector Space Model (VSM) of text representation suffers a number of limitations for text classification. Firstly, the VSM is based on the Bag-Of-Words (BOW) assumption where terms from the indexing vocabulary are ...
  • SelfBACK: Activity recognition for self-management of low back pain. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer, 2016-11-05)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2016. SelfBACK: Activity recognition for self-management of low back pain. In Bramer, M. and Petridis, M. (eds.) 2016. Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV: proceedings of the 36th SGAI nternational conference on innovative techniques and applications of artificial intelligence (AI-2016), 13-15 December 2016, Cambridge, UK. Cham: Springer [online], pages 281-294. Available from:
    Low back pain (LBP) is the most significant contributor to years lived with disability in Europe and results in significant financial cost to European economies. Guidelines for the management of LBP have self-management ...
  • Taxonomic corpus-based concept summary generation for document annotation. 

    Nkisi-Orji, Ikechukwu; Wiratunga, Nirmalie; Hui, Kit-Ying; Heaven, Rachel; Massie, Stewart (Springer, 2017-09-02)
    NKISI-ORJI, I., WIRATUNGA, N., HUI, K.-Y., HEAVEN, R. and MASSIE, S. 2017. Taxonomic corpus-based concept summary generation for document annotation. In Kampus, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L. and Karydis, I. (eds). Lecture notes in computer science [online], 10450, research and advanced technology for digital libraries: proceedings of the 21st international conference on theory and practice of digital libraries (TPDL 2017), 18-21 September 2017, Thessaloniki, Greece. Cham: Springer, pages 49-60. Available from:
    Semantic annotation is an enabling technology which links documents to concepts that unambiguously describe their content. Annotation improves access to document contents for both humans and software agents. However, the ...
  • Two-part segmentation of text documents. 

    Padmanabhan, Deepak; Visweswariah, Karthik; Wiratunga, Nirmalie; Sani, Sadiq (ACM, 2012-10-29)
    DEEPAK, P., VISWESWARIAH, K., WIRATUNGA, N. and SANI, S. 2012. Two-part segmentation of text documents. In Proceedings of the 21st ACM international conference on information and knowledge management, 29 October - 02 November 2012, Maui, USA. New York: ACM [online], pages 793-802. Available from:
    We consider the problem of segmenting text documents that have a two-part structure such as a problem part and a solution part. Documents of this genre include incident reports that typically involve description of events ...