Recent Submissions

  • 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 ...
  • 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 (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 ...
  • 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 (Springer https://doi.org/10.1007/978-3-319-65127-9_25, 2017-08-21)
    MAVROEIDIS, V. and NICHO, M. 2017. Quick Response Code Secure: a cryptographically secure anti-phishing tool for QR code attacks. Lecture notes in computer science [online], 10466. Computer communication networks and telecommunications: computer network security; 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. Cham: Springer, pages 313-324. Available from: https://doi.org/10.1007/978-3-319-65127-9_25
    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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Developing tools to encourage reflection in first year students blogs. 

    McDermott, Roger; Brindley, Garry; Eccleston, Gordon (ACM https://doi.org/10.1145/1822090.1822132, 2010-06-26)
    MCDERMOTT, R., BRINDLEY, G. and ECCLESTON, G. 2010. Developing tools to encourage reflection in first year students blogs. In Proceedings of the 15th innovation and technology in computer science education annual conference (ITiCSE '10), 26 - 30 June 2010, Ankara, Turkey. New York: ACM [online], pages 147-151. Available from: https://doi.org/10.1145/1822090.1822132.
    The pedagogical basis of a project aimed at encouraging students to engage in reflective activities using blogs to document their learning experiences is described. It also gives some details of the practical implementation ...
  • Motivating all our students? 

    Carter, Janet; Bouvier, Dennis; Cardell-Oliver, Rachel; Hamilton, Margaret; Kurkovsky, Stanislav; Markham, Stefanie (ACM https://doi.org/10.1145/2078856.2078858, 2011-06-27)
    CARTER, J., BOUVIER, D., CARDELL-OLIVER, R., HAMILTON, M., KURKOVSKY, S., MARKHAM, S., MCCLUNG, O.W., MCDERMOTT, R., RIEDESEL, C., SHI, J. and WHITE, S. 2011. Motivating all our students? In Proceedings of the 16th innovation and technology in computer science education annual conference: working group reports (ITiCSE-WGR '11), 27 - 29 June 2011, Darmstadt, Germany. New York: ACM [online], pages 1-18. Available from: https://doi.org/10.1145/2078856.2078858.
    Academics expend a large amount of time and effort to sustain and enhance the motivation of undergraduate students. Typically based on a desire to ensure that all students achieve their full potential, approaches are based ...
  • Investigation into the personal epistemology of computer science students. 

    McDermott, Roger; Pirie, Iain; Cajander, Asa; Daniels, Mats; Laxer, Cary (ACM https://doi.org/10.1145/2462476.2465589, 2013-07-01)
    MCDERMOTT, R., PIRIE, I., CAJANDER, A., DANIELS, M. and LAXER, C. 2013. Investigation into the personal epistemology of computer science students. In Proceedings of the 18th ACM innovation and technology in computer science education conference (ITiCSE 2013), 1 - 3 July 2013, Canterbury, UK. New York: ACM [online], pages 231-236. Available from: https://doi.org/10.1145/2462476.2465589.
    In this paper, we investigate the personal epistemology of computing students, that is, their conceptions of knowledge and learning. We review some models of personal epistemological development and describe one of the ...
  • Perserverance measures and attainment in first year computing science students. 

    McDermott, Roger; Daniels, Mats; Cajander, Asa (ACM https://doi.org/10.1145/2729094.2742625, 2015-07-04)
    MCDERMOTT, R., DANIELS, M. and CAJANDER, A. 2015. Perserverance measures and attainment in first year computing science students. In Proceedings of the ACM conference on innovation and technology in computer science education (ITiCSE '15), 4 - 8 July 2015, Vilnius, Lithuania. New York: ACM [online], pages 302-307. Available from: https://doi.org/10.1145/2729094.2742625.
    We investigate the link between concepts of perseverance such as conscientiousness and grit, and the academic attainment of first year computing students. We review the role that perseverance plays in learning models, as ...

View more