Recent Submissions

  • 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/, 2017-07-16)
    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. (accepted).
    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], First Online. 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 ...
  • Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance. 

    Petrovski, Andrei; Rattadilok, Prapa; Petrovski, Sergei (Springer https://doi.org/10.1007/978-3-319-44188-7_12, 2016-08-19)
    PETROVSKI, A., RATTADILOK, P. and PETROVSKII, S. 2016. Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance. 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 161-175. Available from: https://doi.org/10.1007/978-3-319-44188-7_12
    An adaptive framework for building intelligent measurement systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making intelligent decisions related to ...
  • Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. 

    Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel C. (Springer https://doi.org/10.1007/978-3-319-44188-7_15, 2016-08-19)
    MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2016. Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. 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 198-210. Available from: https://doi.org/10.1007/978-3-319-44188-7_15
    An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed and applied within the context of assuring offshore asset integrity. Adaptability is achieved through ...
  • Quick Response Code Secure: a cryptographically secure anti-phishing tool for QR code attacks. 

    Mavroeidis, Vasileios; Nicho, Mathew
    MAVROEIDIS, V. and NICHO, M. 2017. Quick Response Code Secure: a cryptographically secure anti-phishing tool for QR code attacks. In Proceedings of the 7th International conference on mathematical methods, models and architectures for computer networks security (MMM-ACNS 2017), 28-30 August 2017, Warsaw, Poland. (Accepted)
    The two-dimensional quick response (QR) codes can be misleading due to the difficulty in differentiating a genuine QR code from a malicious one. Since, the vulnerability is practically part of their design, scanning a ...
  • 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 ...
  • 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 ...
  • Multi-source video multicast in internet-connected wireless mesh networks. 

    Tu, Wanqing; Sreenan, Cormac; Jha, Sanjay; Zhang, Qian (IEEE https://doi.org/10.1109/TMC.2017.2691706, 2017-04-06)
    TU, W., SREENAN, C., JHA, S. and ZHANG, Q. [2017] Multi-source video multicast in internet-connected wireless mesh networks. IEEE transactions on mobile computing [online], (accepted). Available from: https://doi.org/10.1109/TMC.2017.2691706
    Wireless mesh networks (WMNs) connect to the Internet via access gateways. This paper studies multi-sourcevideo multicast in Internet-connected WMNs. The focus is onthe design of a shareable integrated multicast that allows ...
  • Managing information security risk using integrated governance risk and compliance. 

    Nicho, Mathew; Khan, Shafaq; Rahman, M.S.M.K
    NICHO, M., KHAN, S. and RAHMAN, M.S.M.K. 2017. Managing information security risk using integrated governance risk and compliance. In the Proceedings of the international conference on computer and applications (ICCA 2017), 6-7 September 2017, Dubai, UAE.
    This paper aims to demonstrate the building blocks of an IT Governance Risk and Compliance (IT GRC) model as well the phased stages of the optimal integration of IT GRC frameworks, standards and model through a longitudinal ...
  • IT governance measurement tools and its application in IT-business alignment. 

    Nicho, Mathew; Khan, Shafaq
    NICHO, M. and KHAN, S. 2017. IT governance measurement tools and its application in IT-business alignment. Journal of international technology and information management [online], (accepted).
    The purpose of this exploratory research paper is to evaluate the deployment and assessment methodology of the information technology governance (ITG) measurement tools, with the purpose of gaining deeper insight into the ...
  • A process model for implementing information systems security governance. 

    Nicho, Mathew
    NICHO, M. 2017. A process model for implementing information systems security governance. Information and computer security [online], (accepted). Available from: https://doi.org/10.1108/ICS-07-2016-0061
    Purpose: The frequent and increasingly potent cyber-attacks due to lack of an optimal mix of technical as well as non-technical IT controls, has led to increased adoption of security governance controls by organizations. ...
  • Streaming and 3D mapping of AGRI-data on mobile devices. 

    Stojanovic, Vladeta; Falconer, Ruth E.; Isaacs, John; Blackwood, David; Gilmour, Daniel; Kiezebrink, D.; Wilson, J. (Elsevier https://doi.org/10.1016/j.compag.2017.03.019, 2017-05-08)
    STOJANOVIC, V., FALCONER, R.E., ISAACS, J., BLACKWOOD, D., GILMOUR, D., KIEZEBRINK, D. and WILSON, J. 2017. Streaming and 3D mapping of AGRI-data on mobile devices. Computers and electronics in agriculture [online], 138(1), pages 188-199. Available from: https://doi.org/10.1016/j.compag.2017.03.019
    Farm monitoring and operations generate heterogeneous AGRI-data from a variety of different sources that have the potential to be delivered to users 'on the go' and in the field to inform farm decision making. A software ...
  • Imitation learning: a suvey of learning methods. 

    Hussein, Ahmed; Gaber, Mohamed Medhat; Elyan, Eyad; Jayne, Chrisina (ACM https://doi.org/10.1145/3054912, 2017-04-11)
    HUSSEIN, A., GABER, M.M., ELYAN, E. and JAYNE, C. 2017 Imitation learning: a suvey of learning methods. ACM computing surveys [online], 50(2), article 21. Available from: https://doi.org/10.1145/3054912
    Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of ...
  • A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. 

    Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier; Bowie, Liam (IEEE https://doi.org/10.1109/CEC.2017.7969591, 2017-06-05)
    AYODELE, M., MCCALL, J., REGNIER-COUDERT, O. and BOWIE, L. 2017. A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. In Proceedings of the IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], pages 2364-2371. Available from: https://doi.org/10.1109/CEC.2017.7969591
    Random Key (RK) is an alternative representation for permutation problems that enables application of techniques generally used for continuous optimisation. Although the benefit of RKs to permutation optimisation has been ...
  • Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem. 

    Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier (IEEE https://doi.org/10.1109/CEC.2017.7969491, 2017-06-05)
    AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2017. Estimation of distribution algorithms for the multi-mode resource constrained project scheduling problem. In Proceedings of the IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], pages 1579-1586. Available from: https://doi.org/10.1109/CEC.2017.7969491
    Multi-Mode Resource Constrained Project Problem (MRCPSP) is a multi-component problem which combines two interacting sub-problems; activity scheduling and mode assignment. Multi-component problems have been of research ...

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