Recent Submissions

  • Taxonomic corpus-based concept summary generation for document annotation. 

    Nkisi-Orji, Ikechukwu; Wiratunga, Nirmalie; Hui, Kit-Ying; Heaven, Rachel; Massie, Stewart (Springer https://doi.org/10.1007/978-3-319-67008-9_5, 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: https://doi.org/10.1007/978-3-319-67008-9_5
    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 ...
  • Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. 

    Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel C. (Springer https://doi.org/10.1007/s12530-017-9206-8, 2017-10-27)
    MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2017. Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evolving systems [online], OnlineFirst. Available from: https://doi.org/10.1007/s12530-017-9206-8
    An adaptive multi-tiered framework, that can be utilised for designing a context-aware cyber physical system to carry out smart data acquisition and processing, while minimising the amount of necessary human intervention ...
  • Deep imitation learning for 3D navigation tasks. 

    Hussein, Ahmed; Elyan, Eyad; Gaber, Mohamed Medhat; Jayne, Chrisina
    HUSSEIN, A., ELYAN, E., GABER, M.M. and JAYNE, C. [2017]. Deep imitation learning for 3D navigation tasks. Neural computing and applications [online], (accepted). Available from: https://doi.org/10.1007/s00521-017-3241-z
    Deep learning techniques have shown success in learning from raw high dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, ...
  • Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. 

    McDermott, Christopher D.; Petrovski, Andrei (AIRCC http://airccse.org/journal/ijc2017.html, 2017-07-31)
    MCDERMOTT, C.D. and PETROVSKI, A. 2017. Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. International journal of computer networks and communications [online], 9(4), pages 45-56. Available from: https://doi.org/10.5121/ijcnc.2017.9404
    Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite the obvious benefits, challenges still exist regarding security. As more devices are connected to the internet, new cyber attacks are ...
  • A framework for unsupervised change detection in activity recognition. 

    Bashir, Sulaimon A.; Petrovski, Andrei; Doolan, Daniel C. (Emerald https://doi.org/10.1108/IJPCC-03-2017-0027, 2017-06-05)
    BASHIR, S.A., PETROVSKI, A. and DOOLAN, D. 2017. A framework for unsupervised change detection in activity recognition. International journal of pervasive computing and communications [online], 13(2), pages 157-175. Available from: https://doi.org/10.1108/IJPCC-03-2017-0027
    Purpose - This purpose of this paper is to develop a change detection technique for activity recognition model. The approach aims to detect changes in the initial accuracy of the model after training and when the model is ...
  • The effect of person order on egress time: a simulation model of evacuation from a Neolithic visitor attraction. 

    Stewart, Arthur D.; Elyan, Eyad; Isaacs, John; McEwen, Leah; Wilson, Lyn
    STEWART, A., ELYAN, E., ISAACS, J., MCEWEN, L. and WILSON, L. 2017. The effect of person order on egress time: a simulation model of evacuation from a neolithic visitor attraction. Human factors [online], OnlineFirst. Available from: https://doi.org/10.1177/0018720817729608
    Objective: The aim of this study was to model the egress of visitors from a Neolithic visitor attraction. Background: Tourism attracts increasing numbers of elderly and mobility-impaired visitors to our built-environment ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles (Robert Gordon University School of Computing Science and Digital Media, 2017-05-01)
    OCHEI, L.C. 2017. Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. Robert Gordon University, PhD thesis.
    In recent years, software tools used for Global Software Development (GSD) processes (e.g., continuous integration, version control and bug tracking) are increasingly being deployed in the cloud to serve multiple users. ...
  • 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, ...
  • Insourcing a government information system: a case study from Malaysia. 

    Omar, Azmi (Robert Gordon University School of Computing Science and Digital Media, 2017-06-01)
    OMAR, A. 2017. Insourcing a government information system: a case study from Malaysia. Robert Gordon University, PhD thesis.
    Insourcing, outsourcing and co-sourcing are three approaches to procuring an information system. This research contributes to the body of knowledge on insourcing an information system; exploring and discussing the enabling ...
  • An outlier ranking tree selection approach to extreme pruning of random forests. 

    Fawagreh, Khaled; Gaber, Mohamed Medhat; Elyan, Eyad (Springer https://doi.org/10.1007/978-3-319-44188-7_20, 2016-08-19)
    FAWAGREH, K., GABER, M.M. and ELYAN, E. 2016. An outlier ranking tree selection approach to extreme pruning of random forests. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629, Engineering applications of neural networks: proceedings of the 17th international conference on engineering applications of neural networks (EANN 2016), 2-5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 267-282. Available from: https://doi.org/10.1007/978-3-319-44188-7_20
    Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, ...
  • An analysis of user engagement in relation to computing workshop activities. 

    Menzies, Rachel; Crabb, Michael; Herron, Daniel; Petrie, Karen; Stewart, Craig; Zarb, Mark (ACM https://doi.org/10.1145/2676723.2677272, 2015-02-24)
    MENZIES, R., CRABB, M., HERRON, D., PETRIE, K., STEWART, C. and ZARB, M. 2015. An analysis of user engagement in relation to computing workshop activities. In Proceedings of the 46th ACM technical symposium on computer science education (SIGCSE'15), 4 -7 March 2015, Kansas City, USA. New York: ACM [online], pages 469-474. Available from: https://doi.org/10.1145/2676723.2677272.
    Computing is now one of the fastest growing fields of employment, with a large bias placed on developing Science, Technology, Engineering, and Mathematics (STEM) education in schools. However, due to the fast pace of ...
  • Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. 

    Armstrong, Mike; Brown, Andy; Crabb, Michael; Hughes, Chris J.; Jones, Rhianne; Sandford, James (SMPTE https://doi.org/10.5594/JMI.2016.2614919, 2016-12-31)
    ARMSTRONG, M., BROWN, A., CRABB, M., HUGHES, C., JONES, R. and SANDFORD, J. 2016. Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. SMPTE motion imaging journal [online], 125(9), pages 33-41. Available from: https://doi.org/10.5594/JMI.2016.2614919
    Audiences are increasingly using services, such as video on demand and the Web, to watch television programs. Broadcasters need to make subtitles available across all these new platforms. These platforms also create new ...
  • Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. 

    Armstrong, Mike; Brown, Andy; Crabb, Michael; Hughes, Chris J.; Jones, Rhianne; Sandford, James (IET https://doi.org/10.1049/ibc.2015.0032, 2015-09-10)
    ARMSTRONG, M., BROWN, A., CRABB, M., HUGHES, C.J., JONES, R. and SANDFORD, J. 2015. Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. In the Proceedings of the IBC 2015, 10 - 14 September 2015, Amsterdam, Netherlands. Stevenage: IET [online]. Available from: https://doi.org/10.1049/ibc.2015.0032
    Audiences are increasingly using services such as video on demand and the web to watch television programmes. Broadcasters need to make subtitles available across all these new platforms. These platforms also create new ...
  • 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 ...
  • Pacman's canon in C#: a quantum interpretation of video game canon. 

    Heron, Michael James (Springer https://doi.org/10.1007/s40869-017-0036-5, 2017-05-22)
    HERON, M. 2017. Pacman's canon in C#: a quantum interpretation of video game canon. The computer games journal [online], 6(3), pages 135-151. Available from: https://doi.org/10.1007/s40869-017-0036-5
    The topic of what constitutes canon with a video game is an under-explored topic in critical discussion. We rely, as a field, on largely intuitive and insubstantial parameters for the elements that we choose to analyse. ...
  • Deep active learning for autonomous navigation. 

    Hussein, Ahmed; Gaber, Mohamed Medhat; Elyan, Eyad (Springer https://doi.org/10.1007/978-3-319-44188-7_1, 2016-08-19)
    HUSSEIN, A., GABER, M.M. and ELYAN, E. 2016. Deep active learning for autonomous navigation. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629. Engineering applications of neural networks: proceedings of the 17th International conference on engineering applications of neural networks (EANN 2016), 2 - 5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 3-17. Available from: https://doi.org/10.1007/978-3-319-44188-7_1
    Imitation learning refers to an agent's ability to mimic a desired behavior by learning from bservations. A major challenge facing learning from demonstrations is to represent the demonstrations in a manner that is adequate ...

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