Now showing items 12-21 of 21

  • A knowledge acquisition tool to assist case authoring from texts. 

    Asiimwe, Stella Maris (The Robert Gordon University School of Computing, 2009-03)
    Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without ...
  • Learning adaptation knowledge to improve case-based reasoning 

    Craw, Susan; Wiratunga, Nirmalie; Rowe, Ray (Elsevier http://dx.doi.org/10.1016/j.artint.2006.09.001, 2006-11)
    CRAW, S., WIRATUNGA, N. and ROWE, R., 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence, 170 (16-17), pp. 1175-1192.
    Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, ...
  • Lexicon based feature extraction for emotion text classification. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Padmanabhan, Deepak; Massie, Stewart (Elsevier https://doi.org/10.1016/j.patrec.2016.12.009, 2016-12-15)
    BANDHAKAVI, A., WIRATUNGA, N., DEEPAK, P. and MASSIE, S. 2017. Lexicon based feature extraction for emotion text classification. Pattern recognition letters [online], 93, pages 133-143. Available from: https://doi.org/10.1016/j.patrec.2016.12.009
    General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion analysis of text. However the static and formal nature of their vocabularies make them inadequate ...
  • Lexicon generation for emotion detection from text. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Padmanabhan, Deepak (IEEE https://doi.org/10.1109/MIS.2017.22, 2017-02-13)
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and PADMANABHAN, D. 2017. Lexicon generation for emotion detection from text. IEEE intelligent systems [online], 32(1), pages 102-108. Available from: https://doi.org/10.1109/MIS.2017.22.
    General-purpose emotion lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion detection. However, the static and formal nature of their vocabularies make them an inadequate ...
  • 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 https://doi.org/10.1007/978-3-319-56608-5_44, 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: https://doi.org/10.1007/978-3-319-56608-5_44
    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 https://dx.doi.org/10.1007/978-3-319-47175-4, 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. Cham: Springer [online], pages 281-294. Available from: http://dx.doi.org/10.1007/978-3-319-47175-4
    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 ...
  • Two-part segmentation of text documents. 

    Padmanabhan, Deepak; Visweswariah, Karthik; Wiratunga, Nirmalie; Sani, Sadiq (ACM http://dx.doi.org/10.1145/2396761.2396862, 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: https://dx.doi.org/10.1145/2396761.2396862
    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 ...