Recent Submissions

  • Performance analysis of GA and PBIL variants for real-world location-allocation problems. 

    Ankrah, Reginald; Regnier-Coudert, Olivier; McCall, John; Conway, Anthony; Hardwick, Andrew (IEEE http://www.ecomp.poli.br/~wcci2018/, 2018-07-08)
    ANKRAH, R., REGNIER-COUDERT, O., MCCALL, J., CONWAY, A. and HARDWICK, A. 2018. Performance analysis of GA and PBIL variants for real-world location-allocation problems. To be presented at the IEEE world congress on computational intelligence; IEEE congress on evolutionary computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The Uncapacitated Location-Allocation problem (ULAP) is a major optimisation problem concerning the determination of the optimal location of facilities and the allocation of demand to them. In this paper, we present two ...
  • Integrating selection-based aspect sentiment and preference knowledge for social recommender systems. 

    Chen, Yoke Yie; Wiratunga, Nirmalie; Lothian, Robert
    CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. [2018]. Integrating selection-based aspect sentiment and preference knowledge for social recommender systems. Online information review [online], (accepted). Available from: https://doi.org/10.1108/OIR-02-2017-0066
    Purpose - Recommender system approaches such as collaborative and content-based filtering rely on user ratings and product descriptions to recommend products. More recently, recommender system research has focused on ...
  • Case based reasoning as a model for cognitive artificial intelligence. 

    Craw, Susan; Aamodt, Agnar
    CRAW, S. and AAMODT, A. [2018]. Case based reasoning as a model for cognitive artificial intelligence. In Lecture notes in computer science: Proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer, (accepted).
    Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their ...
  • Non-traditional skills in undergraduate medical education: the development of a teaching programme. 

    Brady, Chevonne; Zarb, Mark (Sage https://doi.org/10.1177/0036933018776837, 2018-05-27)
    BRADY, C. and ZARB, M. 2018. Non-traditional skills in undergraduate medical education: the development of a teaching programme. Scottish medical journal [online], OnlineFirst. Available from: https://doi.org/10.1177/0036933018776837
    As a junior doctor in what is an increasingly struggling healthcare system, I am concerned to see that many of my junior and senior colleagues have opted not to continue onto the next stage of training. Whilst entrepreneurship, ...
  • New trends on digitisation of complex engineering drawings. 

    Moreno Garcia, Carlos Francisco; Elyan, Eyad; Jayne, Chrisina
    MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2018. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], (accepted). Available from: https://doi.org/10.1007/s00521-018-3583-1
    Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of ...
  • Personalised human activity recognition using matching networks. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. [2018]. Personalised human activity recognition using matching networks. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An ...
  • Improving kNN for human activity recognition with privileged learning using translation models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. [2018]. Improving kNN for human activity recognition with privileged learning using translation models. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    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 ...
  • Neural induction of a lexicon for fast and interpretable stance classification. 

    Clos, Jérémie; Wiratunga, Nirmalie (Springer https://doi.org/10.1007/978-3-319-59888-8_16, 2017-05-27)
    CLOS, J. and WIRATUNGA, N. 2017. Neural induction of a lexicon for fast and interpretable stance classification. Lecture notes in computer science, 10318, Proceedings of the 1st international conference on language, data and knowledge (LDK 2017), 19-20 June 2017, Galway, Ireland. Cham: Springer [online], pages 181-193. Available from: https://dx.doi.org/10.1007/978-3-319-59888-8_16
    Large-scale social media classification faces the following two challenges: algorithms can be hard to adapt to Web-scale data, and the predictions that they provide are difficult for humans to understand. Those two challenges ...
  • W3C accessibility guidelines for mobile games. 

    Wilson, Amy; Crabb, Michael (Springer https://doi.org/10.1007/s40869-018-0058-7, 2018-05-02)
    WILSON, A. and CRABB, M. 2018. W3C accessibility guidelines for mobile games. The computer games journal [online], 7(2), pages 49-61. Available from: https://doi.org/10.1007/s40869-018-0058-7
    In the past decade, video games have become one of the fastest growing forms or entertainment around the world. In particular, mobile gaming has continued to evolve, becoming increasingly popular for billions of people ...
  • Generic application of deep learning framework for real-time engineering data analysis. 

    Majdani, Farzan; Petrovski, Andrei; Petrovski, Sergei (IEEE, 2018-07-08)
    MAJDANI, F., PETROVSKI, A. and PETROVSKI, S. 2018. Generic application of deep learning framework for real-time engineering data analysis. Presented at the International joint conference on neural networks 2018 (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The need for computer-assisted real-time anomaly detection in engineering data used for condition monitoring is apparent in various applications, including the oil and gas, automotive industries and many other engineering ...
  • Towards situational awareness of botnet activity in the internet of things. 

    McDermott, Christopher D.; Petrovski, Andrei; Majdani, Farzan (IEEE, 2018-06-11)
    MCDERMOTT, C.D., PETROVSKI, A.V. and MAJDANI, F. 2018. Towards situational awareness of botnet activity in the internet of things. Presented at the Cyber situation awareness conference 2018 (Cyber SA 2018): cyber situation awareness as a tool for analysis and insight, 11-12 June 2018, Glasgow, UK.
    An IoT botnet detection model is designed to detect anomalous attack traffic utilised by the mirai botnet malware. The model uses a novel application of Deep Bidirectional Long Short Term Memory based Recurrent Neural ...
  • Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. 

    Vilela, Martin; Oluyemi, Gbenga Folorunso; Petrovski, Andrei (IEEE, 2018-07-08)
    VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2018. Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. Presented at the IEEE International fuzzy systems conference 2018 (FUZZ-IEEE 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    To manage uncertainty in reservoir development projects, the Value of Information is one of the main factors on which the decision is based to determine whether it is necessary to acquire additional data. However, subsurface ...
  • Botnet detection in the internet of things using deep learning approaches. 

    McDermott, Christopher D.; Majdani, Farzan; Petrovski, Andrei (IEEE, 2018-07-08)
    MCDERMOTT, C.D., MAJDANI, F. and PETROVSKI, A.V. 2018. Botnet detection in the internet of things using deep learning approaches. Presented at the International joint conference on neural networks 2018 (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The recent growth of the Internet of Things (IoT) has resulted in a rise in IoT based DDoS attacks. This paper presents a solution to the detection of botnet activity within consumer IoT devices and networks. A novel ...
  • Eighteen months of meeple like us: an exploration into the state of board game accessibility. 

    Heron, Michael James; Belford, Pauline Helen; Reid, Hayley; Crabb, Michael (Springer https://doi.org/10.1007/s40869-018-0056-9, 2018-04-21)
    HERON, M.J, BELFORD, P.H., REID, H. and CRABB, M. 2018. Eighteen months of meeple like us: an exploration into the state of board game accessibility. The computer games journal [online], 7(2), pages 75-95. Available from: https://doi.org/10.1007/s40869-018-0056-9
    The study of game accessibility to date has largely focused on the topic of accessibility within a video game context. Largely underexplored in the academic and professional literature is accessibility in the domain of ...
  • Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. 

    Heron, Michael James; Belford, Pauline Helen; Reid, Hayley; Crabb, Michael (Springer https://doi.org/10.1007/s40869-018-0057-8, 2018-04-27)
    HERON, M., BELFORD, P.H., REID, H. and CRABB, M. 2018. Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. The computer games journal [online], 7(2), pages 97-114. Available from: https://doi.org/10.1007/s40869-018-0057-8
    Evaluation of accessibility within a tabletop context is much more complicated than it is within a video game environment. There is a considerable amount of variation in game systems, game mechanisms, and interaction ...
  • Medical students opinions on the inclusion of non-traditional skills in the curriculum. 

    Brady, Chevonne; Zarb, Mark (Allied Business Academies https://www.abacademies.org/articles/medical-students-opinions-on-the-inclusion-of-nontraditional-skills-in-the-curriculum-7099.html, 2018-04-04)
    BRADY, C. and ZARB, M. 2018. Medical students opinions on the inclusion of non-traditional skills in the curriculum. Journal of entrepreneurship education [online], 21(2), article ID 152. Available from: https://www.abacademies.org/articles/medical-students-opinions-on-the-inclusion-of-nontraditional-skills-in-the-curriculum-7099.html
    Background: Up to 50% of foundation year 2 doctors do not proceed directly into speciality training. This change in direction of our profession places increasing demands on an already stretched NHS. In the UK, medical ...
  • Few-shot classifier GAN. 

    Ali-Gombe, Adamu; Elyan, Eyad; Savoye, Yann; Jayne, Chrisina
    ALI-GOMBE, A., ELYAN, E., SAVOYE, Y. and JAYNE, C. 2018. Few-shot classifier GAN. Presented at the International joint conference on neural networks 2018 (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    Fine-grained image classification with a few-shot classifier is a highly challenging open problem at the core of a numerous data labeling applications. In this paper, we present Few-shot Classifier Generative Adversarial ...
  • Spatial effects of video compression on classification in convolutional neural networks. 

    Johnston, Pamela; Elyan, Eyad; Jayne, Chrisina (IEEE, 2018-07-08)
    JOHNSTON, P., ELYAN, E. and JAYNE, C. 2018. Spatial effects of video compression on classification in convolutional neural networks. In Presented at the International joint conference on neural networks 2018 (IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.
    A collection of Computer Vision application reuse pre-learned features to analyse video frame-by-frame. Those features are classically learned by Convolutional Neural Networks (CNN) trained on high quality images. However, ...
  • Stokes coordinates. 

    Savoye, Yann (ACM https://doi.org/10.1145/3154353.3154354, 2017-05-15)
    SAVOYE, Y. 2017. Stokes coordinates. In Proceedings of the 33rd computer graphics spring conference, 15-17 May 2017, Mikulov, Czech Republic. New York: ACM [online], article no. 5. Available from: https://doi.org/10.1145/3154353.3154354
    Cage-based structures are reduced subspace deformers enabling non-isometric stretching deformations induced by clothing or muscle bulging. In this paper, we reformulate the cage-based rigging as an incompressible Stokes ...
  • Towards computational dialogue types for BIM collaborative design: an initial study. 

    Toniolo, Alice; Leon, Marianthi (CEUR Workshop Proceedings http://ceur-ws.org/Vol-2012/, 2017-11-16)
    TONIOLO, A. and LEON, M. 2017. Towards computational dialogue types for BIM collaborative design: an initial study. In Bistarelli, S., Giacomin, M. and Pazienza, A. (eds). Proceedings of the 1st advances in argumentation in artificial intelligence workshop (AI^3 2017), 16-17 November 2017, Bari, Italy. Bari: CEUR Workshop Proceedings [online], pages 79-84. Available from: http://ceur-ws.org/Vol-2012/AI3-2017_paper_8.pdf
    Collaborative design is an iterative process of selecting and evaluating solutions under potentially conflicting requirements, a concept central to Building Information Modelling (BIM) implementation. Previous research has ...

View more