Now showing items 1-20 of 35

  • Accuracy of physical activity recognition from a wrist-worn sensor. 

    Cooper, Kay; Sani, Sadiq; Corrigan, Liam; MacDonald, Haley; Prentice, Chris; Vareta, Rob; Massie, Stewart; Wiratunga, Nirmalie (Physiotherapy UK http://www.physiotherapyuk.org.uk/, 2017-11-10)
    COOPER, K., SANI, S., CORRIGAN, L., MACDONALD, H., PRENTICE, C., VARETA, R., MASSIE, S. and WIRATUNGA, N. 2017. Accuracy of physical activity recognition from a wrist-worn sensor. Presented at the Physiotherapy UK conference and trade exhibition 2017: transform lives, maximise independence and empower populations, 10-11 November 2017, Birmingham, UK.
    The EU-funded project 'selfBACK' (http://www.selfback.eu) will utilise continuous objective monitoring of physical activity (PA) by a wrist-mounted wearable, combined with self-monitoring of symptoms and case-based reasoning. ...
  • Case-base maintenance with multi-objective evolutionary algorithms. 

    Lupiani, Eduardo; Massie, Stewart; Craw, Susan; Juarez, Jose M.; Palma, Jose T. (Springer https://dx.doi.org/10.1007/s10844-015-0378-z, 2015-09-21)
    LUPIANI, E., MASSIE, S., CRAW, S., JUAREZ, J.M. and PALMA, J., 2016. Case-base maintenance with multi-objective evolutionary algorithms. Journal of Intelligent Information Systems, Vol 46(2), pp. 259-284.
    Case-Base Reasoning is a problem-solving methodology that uses old solved problems, called cases, to solve new problems. The case-base is the knowledge source where the cases are stored, and the amount of stored cases is ...
  • Cold-start music recommendation using a hybrid representation. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (dot.rural http://www.dotrural.ac.uk/digitalfutures2012/session5, 2012-10-25)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2012. Cold-start music recommendation using a hybrid representation. Available from: http://www.dotrural.ac.uk/digitalfutures2012/session5 [Accessed 27 September 2013]
    Digital music systems are a new and exciting way to dis- cover, share, and listen to new music. Their success is so great, that digital downloads are now included alongside tra- ditional record sales in many o cial music ...
  • 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. ...
  • A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. 

    Martin, Kyle; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Clos, Jérémie (ICCBR (Organisers) http://ceur-ws.org/Vol-2028, 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. In Sanchez-Ruiz, A.A. and Kofod-Petersen, A. (eds.) Proceedings of the 25th International case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26-28 June 2017, Trondheim, Norway. Trondheim: ICCBR [online], pages 85-94. Available from: http://ceur-ws.org/Vol-2028/paper8.pdf
    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 ...
  • Domain-specific lexicon generation for emotion detection from text. 

    Bandhakavi, Anil (Robert Gordon University School of Computing and Digital Media, 2018-01-01)
    BANDHAKAVI, A. 2018. Domain-specific lexicon generation for emotion detection from text. Robert Gordon University, PhD thesis.
    Emotions play a key role in effective and successful human communication. Text is popularly used on the internet and social media websites to express and share emotions, feelings and sentiments. However useful applications ...
  • An e-learning recommender that helps learners find the right materials. 

    Mbipom, Blessing; Massie, Stewart; Craw, Susan (Association for the Advancement of Artificial Intelligence https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16253, 2018-02-03)
    MBIPOM, B., MASSIE, S. and CRAW, S. 2018. An e-learning recommender that helps learners find the right materials. In the Proceedings of the 32nd Association of the Advancement of Artificial Intelligence conference (AAAI-18), including the 8th educational advances in artificial intelligence symposium (EAAI-18), 3-4 February 2018, New Orleans, USA. Palo Alto: AAAI Press [online], pages 7928-7933. Available from: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16253
    Learning materials are increasingly available on the Web making them an excellent source of information for building e-Learning recommendation systems. However, learners often have difficulty finding the right materials ...
  • Emotion-aware polarity lexicons for Twitter sentiment analysis. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Padmanabhan, Deepak
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and DEEPAK, P. [2018]. Emotion-aware polarity lexicons for Twitter sentiment analysis. Expert systems [online], (accepted).
    Theoretical frameworks in psychology map the relationships between emotions and sentiments. In this paper we study the role of such mapping for computational emotion detection from text (e.g. social media) with a aim to ...
  • 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 ...
  • Finding the hidden gems: recommending untagged music. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart; Boswell, Robin (AAAI Press/ International Joint Conferences on Artificial Intelligence., 2011)
    HORSBURGH, B., CRAW, S., MASSIE, S. and BOSWELL, R., 2011. Finding the hidden gems: recommending untagged music. In: WALSH, T., ed. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. 16-22 July 2011. Menlo Park, California: AAAI Press/ International Joint Conferences on Artificial Intelligence. Pp. 2256-2261
    We have developed a novel hybrid representation for Music Information Retrieval. Our representation is built by incorporating audio content into the tag space in a tag-track matrix, and then learning hybrid concepts ...
  • FITsense: employing multi-modal sensors in smart homes to predict falls. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (Springer https://doi.org/10.1007/978-3-030-01081-2_17, 2018-10-09)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. FITsense: employing multi-modal sensors in smart homes to predict falls. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 249-263. Available from: https://doi.org/10.1007/978-3-030-01081-2_17
    As people live longer, the increasing average age of the population places additional strains on our health and social services. There are widely recognised benefits to both the individual and society from supporting people ...
  • Harnessing background knowledge for e-learning recommendation. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-47175-4_1, 2016-11-05)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2016. Harnessing background knowledge for e-learning recommendation. 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 3-17. Available from: https://dx.doi.org/10.1007/978-3-319-47175-4_1
    The growing availability of good quality, learning-focused content on the Web makes it an excellent source of resources for e-learning systems. However, learners can find it hard to retrieve material well-aligned with ...
  • Improving e-learning recommendation by using background knowledge. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Wiley https://doi.org/10.1111/exsy.12265, 2018-01-26)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2018. Improving e-learning recommendation by using background knowledge. Expert systems [online], Early View. Available from: https://doi.org/10.1111/exsy.12265
    There is currently a large amount of e-Learning resources available to learners on the Web. However, learners often have difficulty finding and retrieving relevant materials to support their learning goals because they ...
  • Improving kNN for human activity recognition with privileged learning using translation models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Cooper, Kay (Springer https://doi.org/10.1007/978-3-030-01081-2_30, 2018-10-09)
    WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. 2018. Improving kNN for human activity recognition with privileged learning using translation models. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 448-463. Available from: https://doi.org/10.1007/978-3-030-01081-2_30
    Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a ...
  • Integrating content and semantic representations for music recommendation. 

    Horsburgh, Ben (Robert Gordon University School of Computing Science, 2013-07)
    Music recommender systems are used by millions of people every day to discover new and exciting music. Central to making recommendations is the representation of each track, which may be used to calculate similarity. ...
  • 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 ...
  • Knowledge driven approaches to e-learning recommendation. 

    Mbipom, Blessing (Robert Gordon University School of Computing Science and Digital Media, 2018-05-01)
    MBIPOM, B. 2018. Knowledge driven approaches to e-learning recommendation. Robert Gordon University, PhD thesis.
    Learners often have difficulty finding and retrieving relevant learning materials to support their learning goals because of two main challenges. The vocabulary learners use to describe their goals is different from that ...
  • 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) http://ceur-ws.org/Vol-2028/, 2017-06-26)
    SANI, S., WIRATUNGA, N. and MASSIE, S. 2017. Learning deep features for kNN-based human activity recognition. In Sanchez-Ruiz, A.A. and Kofod-Petersen, A. (eds.) Proceedings of the 25th International case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26-28 June 2017, Trondheim, Norway. Trondheim: ICCBR [online], pages 95-103. Available from: http://ceur-ws.org/Vol-2028/paper9.pdf
    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 ...
  • Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (Elsevier http://dx.doi.org/10.1016/j.artint.2014.11.004, 2015-02)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2015. Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artificial Intelligence, 219, pp. 25-39.
    Online recommender systems are an important tool that people use to find new music. To generate recommendations, many systems rely on tag representations of music. Such systems however suffer from tag sparsity, whereby tracks ...