Now showing items 1-20 of 27

  • Automatically acquiring structured case representations: the SMART way. 

    Asiimwe, Stella Maris; Craw, Susan; Wiratunga, Nirmalie; Taylor, Bruce J. (Springer Verlag. http://dx.doi.org/10.1007/978-1-84800-086-5_4, 2008)
    ASIIMWE, S., CRAW, S., WIRATUNGA, N. and TAYLOR, B., 2008. Automatically acquiring structured case representations: the SMART way. In: R. ELLIS, T. ALLEN and M. PETRIDIS. Applications and Innovations in Intelligent Systems XV: Proceedings of AI- 2007: The Twenty-Seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer Verlag. Pp. 45-58.
    Acquiring case representations from textual sources remains an interesting challenge for CBR research. Approaches based on methods in information retrieval require large amounts of data and typically result in ...
  • Case reuse in textual case-based reasoning. 

    Adeyanju, Ibrahim Adepoju (Robert Gordon University School of Computing, 2011-08)
    Text reuse involves reasoning with textual solutions of previous problems to solve new similar problems. It is an integral part of textual case-based reasoning (TCBR), which applies the CBR problem-solving methodology ...
  • Case-based reasoning for matching SMARTHOUSE technology to people's needs 

    Wiratunga, Nirmalie; Craw, Susan; Taylor, Bruce J. (Elsevier http://www.elsevier.com/wps/find/journaldescription.cws_home/525448/description#description, 2004)
    WIRATUNGA, N., CRAW, S. and TAYLOR, B., 2004. Case-based reasoning for matching SMARTHOUSE technology to people's needs. Knowledge based systems, 17 (2-4), pp. 139-146
    SMARTHOUSE technology offers devices that help the elderly and people with disabilities to live independently in their homes. This paper presents our experiences from a pilot project applying case-based reasoning techniques ...
  • CAWIML: a computer assisted web interviewing mark-up language. 

    Lloret Perez, Jose Miguel (Robert Gordon University School of Computing Science and Digital Media, 2016-10-01)
    LLORET PEREZ, J.M. 2016. CAWIML: a computer assisted web interviewing mark-up language. Robert Gordon University, MRes thesis.
    Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, ...
  • Complexity modelling for case knowledge maintenance in case-based reasoning. 

    Massie, Stewart (The Robert Gordon University School of Computing, 2006-12)
    Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. ...
  • Contextual lexicon-based sentiment analysis for social media. 

    Muhammad, Aminu (Robert Gordon University Faculty of Design and Technology. School of Computing Science and Digital Media., 2016-05)
    MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.
    Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment ...
  • Contextual sentiment analysis for social media genres. 

    Muhammad, Aminu; Wiratunga, Nirmalie; Lothian, Robert (Elsevier http://dx.doi.org/10.1016/j.knosys.2016.05.032, 2016-05-16)
    MUHAMMAD, A., WIRATUNGA, N. and LOTHIAN, R. 2016. Contextual sentiment analysis for social media genres. Knowldege-based systems [online], 108, pages 92-101. Available from: https://dx.doi.org/10.1016/j.knosys.2016.05.032
    The lexicon-based approaches to opinion mining involve the extraction of term polarities from sentiment lexicons and the aggregation of such scores to predict the overall sentiment of a piece of text. It is typically ...
  • A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. 

    Martin, Kyle; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Clos, Jérémie (ICCBR (Organisers), 2017-06-26)
    MARTIN, K., WIRATUNGA, N., SANI, S., MASSIE, S. and CLOS, J. 2017. A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. Presented at the 25th international case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26 June 2017, Trondheim, Norway.
    The Siamese Neural Network (SNN) is a neural network architecture capable of learning similarity knowledge between cases in a case base by receiving pairs of cases and analysing the differences between their features to ...
  • Effective dependency rule-based aspect extraction for social recommender systems. 

    Chen, Yoke Yie; Wiratunga, Nirmalie; Lothian, Robert (Association for Information Systems http://aisel.aisnet.org/pacis2017/263, 2017-07-16)
    CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. 2017. Effective CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. 2017. Effective dependency rule-based aspect extraction for social recommender systems. In Proceedings of the 21st Pacific Asia conference on information systems 2017 (PACIS 2017), 16-20 July 2017, Langkawi, Malaysia. Atlanta: Association for Information Systems [online], article ID 263. Available from: http://aisel.aisnet.org/pacis2017/263
    Social recommender systems capitalise on product reviews to generate recommendations that are both guided by experiential knowledge and are explained by user opinions centred on important product aspects. Therefore, having ...
  • Emotion-corpus guided lexicons for sentiment analysis on Twitter. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Padmanabhan, Deepak (Springer https://doi.org/10.1007/978-3-319-47175-4_5, 2016-11-05)
    BANDHAKAVI, A., WIRATUNGA, N. and MASSIE, S. 2016. Emotion-corpus guided lexicons for sentiment analysis on Twitter. 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, Switzerland: Springer [online], pages 71-86. Available from: https://doi.org/10.10007/978-3-319-47175-4_5
    Research in Psychology have proposed frameworks that map emotion concepts with sentiment concepts. In this paper we study this mapping from a computational modelling perspective with a view to establish the role of an ...
  • Hybrid models for combination of visual and textual features in context-based image retrieval. 

    Kaliciak, Leszek (Robert Gordon University School of Computing Science and Digital Media, 2013-07)
    Visual Information Retrieval poses a challenge to intelligent information search systems. This is due to the semantic gap, the difference between human perception (information needs) and the machine representation of ...
  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. 

    Chakraborti, Sutanu (Robert Gordon University School of Computing Science and Digital Media., 2007-08)
    Textual Case Based Reasoning (TCBR) aims at effective reuse of information contained in unstructured documents. The key advantage of TCBR over traditional Information Retrieval systems is its ability to incorporate ...
  • kNN sampling for personalised human recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-61030-6_23, 2017-06-21)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2017. kNN sampling for personalised human recognition. Lecture notes in computer science, 10339, case-based reasoning research and development: proceedings of the 25th international case-based reasoning conference (ICCBR 2017), 26-28 June 2017, Trondheim, Norway. Cham: Springer [online], pages 330-344. Available from: https://doi.org/10.1007/978-3-319-61030-6_23
    The need to adhere to recommended physical activity guidelines for a variety of chronic disorders calls for high precision Human Activity Recognition (HAR) systems. In the SelfBACK system, HAR is used to monitor activity ...
  • 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, ...
  • Learning deep and shallow features for human activity recognition. 

    Sani, Sadiq; Massie, Stewart; Wiratunga, Nirmalie; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-63558-3_40, 2017-07-19)
    SANI, S., MASSIE, S., WIRATUNGA, N. and COOPER, K. 2017. Learning deep and shallow features for human activity recognition. Lecture notes in artificial intelligence, 10412: proceedings of the 10th international knowledge science engineering and management conference (KESEM 2017), 19-20 August 2017, Melbourne, Australia. Cham: Springer [online], pages 469-482. Available from: https://doi.org/10.1007/978-3-319-63558-3_40
    selfBACK is an mHealth decision support system used by patients for the self-management of Lower Back Pain. It uses Human Activity Recognition from wearable sensors to monitor user activity in order to measure their adherence ...
  • Learning deep features for kNN-based human activity recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart (ICCBR (Organisers), 2017-06-26)
    SANI, S., WIRATUNGA, N. and MASSIE, S. 2017. Learning deep features for kNN-based human activity recognition. Presented at the 25th international case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26-28 June 2017, Trondheim, Norway.
    A CBR approach to Human Activity Recognition (HAR) uses the kNN algorithm to classify sensor data into different activity classes. Different feature representation approaches have been proposed for sensor data for the ...
  • 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 ...