Recent Submissions

  • Simultaneous meta-data and meta-classifier selection in multiple classifier system. 

    Nguyen, Tien Thanh; Luong, Anh Vu; Nguyen, Thi Minh Van; Ha, Trong Sy; Liew, Alan Wee-Chung; McCall, John (ACM https://doi.org/10.1145/3321707.3321770, 2019-07-13)
    NGUYEN, T.T., LUONG, A.V., NGUYEN, T.M.V., HA, T.S., LIEW, A.W.-C. and MCCALL, J. 2019. Simultaneous meta-data and meta-classifier selection in multiple classifier system. In López-Ibáñez, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference (GECCO ’19), 13-17 July 2019, Prague, Czech Republic. New York: ACM [online], pages 39-46. Available from: https://doi.org/10.1145/3321707.3321770
    In ensemble systems, the predictions of base classifiers are aggregated by a combining algorithm (meta-classifier) to achieve better classification accuracy than using a single classifier. Experiments show that the performance ...
  • Minimality and simplicity of rules for the internet-of-things. 

    Panaretos, Athanasios; Corsar, David; Vasconcelos, Wamberto W. (Springer https://doi.org/10.1007/978-3-030-17294-7_5, 2019-04-04)
    PANARETOS, A., CORSAR, D. and VASCONCELOS, W.W. 2019. Minimality and simplicity of rules for the internet-of things. In Lujak, M. (ed.) Agreement technologies: revised selected papers from the 6th International conference on agreement technologies (AT 2018), 6-7 December 2018, Bergen, Norway. Lecture notes in computer science, 11327. Cham: Springer [online], pages 64-72. Available from: https://doi.org/10.1007/978-3-030-17294-7_5
    Rule-based systems have been increasing in popularity in recent years. They allow for easier handling of both simple and complicated problems utilising a set of rules created in various ways (e.g., manually, or (semi-) ...
  • Learning to self-manage by intelligent monitoring, prediction and intervention. 

    Wiratunga, Nirmalie; Corsar, David; Martin, Kyle; Wijekoon, Anjana; Elyan, Eyad; Cooper, Kay; Ibrahim, Zina; Celiktutan, Oya; Dobson, Richard J.; McKenna, Stephen; Morris, Jacqui; Waller, Annalu; Abd-Alhammed, Raed; Qahwaji, Rami; Chaudhuri, Ray
    WIRATUNGA, N., CORSAR, D., MARTIN, K., WIJEKOON, A., ELYAN, E., COOPER, K., IBRAHIM, Z., CELIKTUTAN, O., DOBSON, R.J., ABD-ALHAMMED, R., QAHWAJI, R. and CHAUDHURI, R. 2019. Learning to self-manage by intelligent monitoring, prediction and intervention. Presented at the 4th International workshop on knowledge discovery in healthcare data (KDH 2019), co-located with the 28th International joint conference on artificial intelligence (IJCAI-19), 10-11 August 2019, Macao, China. CEUR workshop proceedings. Aachen: CEUR-WS [online], (accepted).
    Despite the growing prevalence of multimorbidities, current digital self-management approaches still prioritise single conditions. The future of out-of-hospital care requires researchers to expand their horizons; integrated ...
  • Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. 

    Zavoianu, Alexandru-Ciprian; Saminger-Platz, Susanne; Amrhein, Wolfgang
    ZAVOIANU, A.-C., SAMINGER-PLATZ, S. and AMRHEIN, W. 2019. Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, New Zealand. Piscataway: IEEE [online], (accepted).
    We describe and compare two steady state asynchronous parallelization variants for DECMO2++, a recently proposed multi-objective coevolutionary solver that generally displays a robust run-time convergence behavior. The two ...
  • Introducing the dynamic customer location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony
    ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. [2019]. Introducing the dynamic customer location-allocation problem. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) Congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, NZ. Piscataway: IEEE [online], (accepted).
    In this paper, we introduce a new stochastic Location-Allocation Problem which assumes the movement of customers over time. We call this new problem Dynamic Customer Location-Allocation Problem (DC-LAP). The problem is ...
  • Visualisation of turbulent structures in a centrifugal pump’s volute using large eddy simulation. 

    Asim, Taimoor; Mishra, Rakesh; Nsom, B. (2019-08-30)
    ASIM, T., MISHRA, R. and NSOM, B. [2019]. Visualisation of turbulent structures in a centrifugal pump’s volute using large eddy simulation. To be presented at the 24th Congrès Français de Mécanique (CFM 2019), 26-30 August 2019, Brest, France.
    Centrifugal pumps are an integral part of process and chemical industries around the globe. The flow within vaneless volutes of centrifugal pumps is highly turbulent and three-dimensional. Conventional flow modelling ...
  • Abstract book for the proceedings of the 3rd International conference on structural nano composites (NANOSTRUC 2016), 12-15 September 2016, Aberdeen, UK. 

    Starost, Kristof; Njuguna, James (https://web.archive.org/web/20180123120946/http://www.nanostruc.info/nanostruc-conference.html, 2016-09-12)
    STAROST, K. and NJUGUNA, J. (eds.) 2016. Abstract book for the proceedings of the 3rd International conference on structural nano composites (NANOSTRUC 2016), 12-15 September 2016, Aberdeen, UK.
    The theme of the 3rd NANOSTRUC 2016 conference is on ‘Nanoscience and Nanotechnologies – Recent Advances towards Nanoproducts and Applications’. The conference is aimed to promote activities in various areas on materials ...
  • A holistic metric approach to solving the dynamic location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony (Springer https://doi.org/10.1007/978-3-030-04191-5_35, 2018-11-16)
    ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2018. A holistic metric approach to solving the dynamic location-allocation problem. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 433-439. Available from: https://doi.org/10.1007/978-3-030-04191-5_35
    In this paper, we introduce a dynamic variant of the Location-Allocation problem: Dynamic Location-Allocation Problem (DULAP). DULAP involves the location of facilities to service a set of customer demands over a defined ...
  • An edit distance between graph correspondences. 

    Moreno-García, Carlos Francisco; Serratosa, Francesc; Jiang, Xiaoyi (Springer https://doi.org/10.1007/978-3-319-58961-9_21, 2017-05-10)
    MORENO-GARCIA, C.F., SERRATOSA, F. and JIANG, X. 2017. An edit distance between graph correspondences. In Foggia, P., Liu, C.-L. and Vento, M (eds.) 2017. Graph-based representations in pattern recognition: proceedings of the 11th Image analysis in patter recognition technical committee 15th (IAPR-TC-15) international workshop (GbRPR 2017), 16-18 May 2017, Anacapri, Italy. Cham: Springer [online], pages 232-241. Available from: https://doi.org/10.1007/978-3-319-58961-9_21
    The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it ...
  • Predicting service levels using neural networks. 

    Ainslie, Russell; McCall, John; Shakya, Siddhartha; Owusu, Gilbert (Springer https://doi.org/10.1007/978-3-319-71078-5_35, 2017-11-21)
    AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2017. Predicting service levels using neural networks. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXIV: proceedings of the 37th SGAI International innovative techniques and applications of artificial intelligence conference 2017 (AI 2017), 12-14 December 2017, Cambridge, UK. Lecture notes in computer science, 10630. Cham: Springer [online], pages 411-416. Available from: https://doi.org/10.1007/978-3-319-71078-5_35
    In this paper we present a method to predict service levels in utility companies, giving them advanced visibility of expected service outcomes and helping them to ensure adherence to service level agreements made to their ...
  • Developing accessible services: understanding current knowledge and areas for future support. 

    Crabb, Michael; Heron, Michael James; Jones, Rhianne; Armstrong, Mike; Reid, Hayley; Wilson, Amy
    CRABB, M., HERON, M., JONES, R., ARMSTRONG, M., REID, H. and WILSON, A. 2019. Developing accessible services: understanding current knowledge and areas for future support. In Proceedings of the Conference on human factors in computing systems 2019 (CHI 2019): weaving the threads of CHI, 4-9 May 2019, Glasgow, UK. New York: ACM [online] (accepted). Available from: https://doi.org/10.1145/3290605.3300446
    When creating digital artefacts, it is important to ensure that the product being made is accessible to as much of the population as is possible. Many guidelines and supporting tools exist to assist reaching this goal. ...
  • Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Luhar, Rushi (Springer https://doi.org/10.1007/978-3-030-04191-5_30, 2018-11-16)
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and LUHAR, R. 2018. Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 357-371. Available from: https://doi.org/10.1007/978-3-030-04191-5_30
    Aspect-level sentiment analysis of customer feedback data when done accurately can be leveraged to understand strong and weak performance points of businesses and services and also formulate critical action steps to improve ...
  • Overlap-based undersampling for improving imbalanced data classification. 

    Vuttipittayamongkol, Pattaramon; Elyan, Eyad; Petrovski, Andrei; Jayne, Chrisina (Springer https://doi.org/10.1007/978-3-030-03493-1_72, 2018-11-09)
    VUTTIPITTAYAMONGKOL, P., ELYAN, E., PETROVSKI, A. and JAYNE, C. 2018. Overlap-based undersampling for improving imbalanced data classification. In Yin, H., Camacho, D., Novais, P. and Tallón-Ballesteros, A. (eds.) Intelligent data engineering and automated learning: proceedings of the 19th International intelligent data engineering and automated learning conference (IDEAL 2018), 21-23 November 2018, Madrid, Spain. Lecture notes in computer science, 11341. Cham: Springer [online], pages 689-697. Available from: https://doi.org/10.1007/978-3-030-03493-1_72
    Classification of imbalanced data remains an important field in machine learning. Several methods have been proposed to address the class imbalance problem including data resampling, adaptive learning and cost adjusting ...
  • Improving human activity recognition with neural translator models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=96, 2018-07-09)
    WIJEKOON, A., WIRATUNGA, N. and SANI, S. 2018. Improving human activity recognition with neural translator models. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 96-100. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=96
    Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is more convenient and less intrusive. It is advantages to create a model which learns ...
  • Study of similarity metrics for matching network-based personalised human activity recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91, 2018-07-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Study of similarity metrics for matching network-based personalised human activity recognition. In Minor, M. (ed.) Workshop proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 91-95. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91
    Personalised Human Activity Recognition (HAR) models trained using data from the target user (subject-dependent) have been shown to be superior to non personalised models that are trained on data from a general population ...
  • Explainability through transparency and user control: a case-based recommender for engineering workers. 

    Martin, Kyle; Liret, Anne; Wiratunga, Nirmalie; Owusu, Gilbert; Kern, Mathias (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=22, 2018-07-09)
    MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Explainability through transparency and user control: a case-based recommender for engineering workers. In Minor, M. (ed.) Workshop proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 22-31. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=22
    Within the service providing industries, field engineers can struggle to access tasks which are suited to their individual skills and experience. There is potential for a recommender system to improve access to information ...
  • Reasoning with multi-modal sensor streams for m-health applications. 

    Wijekoon, Anjana (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=234, 2018-07-09)
    WIJEKOON, A. 2018. Reasoning with multi-modal sensor streams for m-health applications. In Minor, M. (ed.) Workshop proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 234-238. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=234
    Musculoskeletal Disorders have a long term impact on individuals as well as on the community. They require self-management, typically in the form of maintaining an active lifestyle that adheres to prescribed exercises ...
  • GramError: a quality metric for machine generated songs. 

    Davies, Craig; Wiratunga, Nirmalie; Martin, Kyle (Springer https://doi.org/10.1007/978-3-030-04191-5_16, 2018-11-16)
    DAVIES, C., WIRATUNGA, N. and MARTIN, K. 2018. GramError: a quality metric for machine generated songs. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 184-190. Available from: https://doi.org/10.1007/978-3-030-04191-5_16
    This paper explores whether a simple grammar-based metric can accurately predict human opinion of machine-generated song lyrics quality. The proposed metric considers the percentage of words written in natural English and ...
  • Informed pair selection for self-paced metric learning in Siamese neural networks. 

    Martin, Kyle; Wiratunga, Nirmalie; Massie, Stewart; Clos, Jérémie (Springer https://doi.org/10.1007/978-3-030-04191-5_3, 2018-11-16)
    MARTIN, K., WIRATUNGA, N., MASSIE, S. and CLOS, J. 2018. Informed pair selection for self-paced metric learning in Siamese neural networks. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-030-04191-5_3
    Siamese Neural Networks (SNNs) are deep metric learners that use paired instance comparisons to learn similarity. The neural feature maps learnt in this way provide useful representations for classification tasks. Learning ...
  • Risk information recommendation for engineering workers. 

    Martin, Kyle; Liret, Anne; Wiratunga, Nirmalie; Owusu, Gilbert; Kern, Mathias (Springer https://doi.org/10.1007/978-3-030-04191-5_27, 2018-11-16)
    MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Risk information recommendation for engineering workers. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 311-325. Available from: https://doi.org/10.1007/978-3-030-04191-5_27
    Within any sufficiently expertise-reliant and work-driven domain there is a requirement to understand the similarities between specific work tasks. Though mechanisms to develop similarity models for these areas do exist, ...

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