Recent Submissions

  • Modelling the generalised median correspondence through an edit distance. 

    Moreno-García, Carlos Francisco; Serratosa, Francesc (Springer https://doi.org/10.1007/978-3-319-97785-0_26, 2018-08-02)
    MORENO-GARCÍA, C.F. and SERRATOSA, F. 2018. Modelling the generalised median correspondence through an edit distance. In Bai, X., Hancock, E., Ho, T., Wilson, R., Biggio, B. and Robles-Kelly, A. (eds.) Lecture notes in computer science, 11004: structural, syntactic and statistical pattern recognition: proceedings of the Joint International Association of Pattern Recognition (IAPR) international workshop on structural and syntactic pattern recognition and statistical techniques in pattern recognition (S+SSPR 2018), 17-19 August 2018, Beijing, China. Cham: Springer [online], pages 271-281. Available from: https://doi.org/10.1007/978-3-319-97785-0_26
    On the one hand, classification applications modelled by structural pattern recognition, in which elements are represented as strings, trees or graphs, have been used for the last thirty years. In these models, structural ...
  • Iterated racing algorithm for simulation-optimisation of maintenance planning. 

    Lacroix, Benjamin; McCall, John; Lonchampt, Jérôme (IEEE https://doi.org/10.1109/CEC.2018.8477843, 2018-07-08)
    LACROIX, B., MCCALL, J. and LONCHAMPT, J. 2018. Iterated racing algorithm for simulation-optimisation of maintenance planning. In Proceedings of the Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation 2018 (CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. New York: IEEE [online], pages 1-7. Available from: https://doi.org/10.1109/CEC.2018.8477843
    The purpose of this paper is two fold. First, we present a set of benchmark problems for maintenance optimisation called VMELight. This model allows the user to define the number of components in the system to maintain and ...
  • Opinion context extraction for aspect sentiment analysis. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Luhar, Rushi (AAAI Press https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17859, 2018-06-15)
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and LUHAR, R. 2018. Opinion context extraction for aspect sentiment analysis. In Proceedings of 12th International Association for the Advancement of Artificial Intelligence (AAAI) conference on web and social media 2018 (ICWSM 2018), 25-28 June 2018, Palo Alto, USA. Palo Alto: AAAI Press [online], pages 564-567. Available from: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17859/17051
    Sentiment analysis is the computational study of opinionated text and is becoming increasing important to online commercial applications. However, the majority of current approaches determine sentiment by attempting to ...
  • CFD modelling of pipe erosion due to sand transport. 

    Ogunsesan, Oluwademilade Adekunle; Hossain, Mamdud; Iyi, Draco; Droubi, M. Ghazi (Springer https://doi.org/10.1007/978-981-13-2273-0_22, 2018-08-28)
    OGUNSESAN, O.A., HOSSAIN, M., IYI, D. and DHROUBI, M.G. 2018. CFD modelling of pipe erosion due to sand transport. In Wahab, M.A. (ed.) Numerical modelling in civil engineering, 2: proceedings of the 1st International conference on numerical modelling in engineering (NME 1018); 28-29 August 2018, Ghent, Belgium. Singapore: Springer [online], pages 274-289. Available from: https://doi.org/10.1007/978-981-13-2273-0_22
    Erosion caused by sand particles is a serious problem facing the oil and gas industry. Predicting pipe erosion due to sand transport is a complex process in multiphase flows due to the complex nature of the flow. Existing ...
  • Lexicon induction for interpretable text classification. 

    Clos, Jérémie; Wiratunga, Nirmalie (Springer https://doi.org/10.1007/978-3-319-67008-9_39, 2017-09-02)
    CLOS, J. and WIRATUNGA, N. 2017. Lexicon induction for interpretable text classification. In Kampus, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L. and Karydis, I. (eds). Lecture notes in computer science, 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 [online], pages 498-510. Available from: https://doi.org/10.1007/978-3-319-67008-9_39
    The automated classification of text documents is an active research challenge in document-oriented information systems, helping users browse massive amounts of data, detecting likely authors of unsigned work, or analyzing ...
  • Deep imitation learning with memory for robocup soccer simulation. 

    Hussein, Ahmed; Elyan, Eyad; Jayne, Chrisina (Springer https://doi.org/10.1007/978-3-319-98204-5_3, 2018-07-27)
    HUSSEIN, A., ELYAN, E. and JAYNE, C. 2018. Deep imitation learning with memory for robocup soccer simulation. In Pimenidis, E. and Jayne, C. (eds.) Communications in computers and information science, 893: engineering applications of neural networks; proceedings of the 19th international engineering applications of neural networks (EANN 2018), 3-5 September 2018, Bristol, UK. Cham: Springer [online], pages 31-43. Available from: https://doi.org/10.1007/978-3-319-98204-5_3
    Imitation learning is a field that is rapidly gaining attention due to its relevance to many autonomous agent applications. Providing demonstrations of effective behaviour to teach the agent is useful in real world challenges ...
  • Toward video tampering exposure: inferring compression parameters from pixels. 

    Johnston, Pamela; Elyan, Eyad; Jayne, Chrisina (Springer https://doi.org/10.1007/978-3-319-98204-5_4, 2018-07-27)
    JOHNSTON, P., ELYAN, E. and JAYNE, C. 2018. Toward video tampering exposure: inferring compression parameters from pixels. In Pimenidis, E. and Jayne, C. (eds.) Communications in computers and information science, 893: engineering applications of neural networks; proceedings of the 19th international engineering applications of neural networks conference (EANN 2018), 3-5 September 2018, Bristol, UK. Cham: Springer [online], pages 44-57. Available from: https://doi.org/10.1007/978-3-319-98204-5_4
    Video tampering detection remains an open problem in the field of digital media forensics. Some existing methods focus on recompression detection because any changes made to the pixels of a video will require recompression ...
  • Digital interpretation of sensor-equipment diagrams. 

    Moreno-García, Carlos Francisco (CEUR http://ceur-ws.org/Vol-2151/, 2018-06-27)
    MORENO-GARCÍA, C.F. 2018. Digital interpretation of sensor-equipment diagrams. In Martin, K., Wiratunga, N. and Smith, L.S. (eds.) Proceedings of the Scottish Informatics and Computer Science Alliance (SCISA) workshop on reasoning, learning and explainability (ReaLX 2018), 27 June 2018, Aberdeen, UK. Aberdeen: CEUR [online], Session 2, paper 1. Available from: http://ceur-ws.org/Vol-2151/Paper_s2.pdf
    A sensor-equipment diagram is a type of engineering drawing used in the industrial practice that depicts the interconnectivity between a group of sensors and a portion of an Oil & Gas facility. The interpretation of these ...
  • Zero-shot learning with matching networks for open-ended human activity recognition. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq (CEUR http://ceur-ws.org/Vol-2151/, 2018-06-27)
    WIJEKOON, A., WIRATUNGA, N. and SANI, S. 2018. Zero-shot learning with matching networks for open-ended human activity recognition. In Martin, K., Wiratunga, N. and Smith, L.S. (eds.) Proceedings of the Scottish Informatics and Computer Science Alliance (SCISA) workshop on reasoning, learning and explainability (ReaLX 2018), 27 June 2018, Aberdeen, UK. Aberdeen: CEUR [online], Session 2, paper 4. Available from: http://ceur-ws.org/Vol-2151/Paper_S9.pdf
    A real-world solution for Human Activity Recognition (HAR) should cover a variety of activities. However training a model to cover each and every possible activity is not practical. Instead we need a solution that can adapt ...
  • An analysis of pupil concerns regarding transition into higher education. 

    Zarb, Mark; Siegel, Angela A. (Springer https://doi.org/10.1007/978-3-319-97934-2_1, 2018-08-04)
    ZARB, M. and SIEGEL, A.A. 2018. An analysis of pupil concerns regarding transition into higher education. In Cristea, A., Bittencourt, I.I. and Lima, F. (eds.) Communications in computer and information science, 832. Higher education for all: from challenged to novel technology-enhanced solutions; revised selected papers from the 1st International workshop on social, semantic, adaptive and gamification techniques and technologies for distance learning (HEFA 2017), 20-24 March 2017, Maceió, Brazil. Cham: Springer [online], pages 3-16. Available from: https://doi.org/10.1007/978-3-319-97934-2_1
    Transitioning to higher education is often a stressful experience, with incoming students facing similar issues year after year. This chapter presents two years of data collection regarding the concerns of Computing secondary ...
  • Matching networks for personalised human activity recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (CEUR http://ceur-ws.org/Vol-2142/, 2018-07-13)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Matching networks for personalised human activity recognition. In Bichindaritz, I., Guttmann, C., Herrero, P., Koch, F., Koster, A., Lenz, R., López Ibáñez, B., Marling, C., Martin, C., Montagna, S., Montani, S., Reichert, M., Riaño, D., Schumacher, M.I., ten Teije, A. and Wiratunga, N. (eds.) Proceedings of the 1st Joint workshop on artificial intelligence in health organized as part of the Federated AI meeting (FAIM 2018), co-located with 17th International autonomous agents and multiagent systems conference (AAMAS 2018), 35th International conference on machine learning (ICML 2018), 27th International joint conference on artificial intelligence (IJCAI 2018) and 26th International conference on case-based reasoning (ICCBR 2018), 13-19 July 2018, Stockholm, Sweden. Stockholm: CEUR [online], pages 61-64. Available from: http://ceur-ws.org/Vol-2142/short4.pdf
    Human Activity Recognition (HAR) has many important applications in health care which include management of chronic conditions and patient rehabilitation. An important consideration when training HAR models is whether to ...
  • An international investigation into student concerns regarding transition into higher education. 

    Zarb, Mark; Abandoh-Sam, Joseph A.; Alshaigy, Bedour; Bouvier, Dennis; Glassey, Richard; Hughes, Janet; Riedesel, Charles (ACM https://doi.org/10.1145/3197091.3205842, 2018-07-02)
    ZARB, M., ABANDOH-SAM, J.A., ALSHAIGY, B., BOUVIER, D., GLASSEY, R., HUGHES, J. and RIEDESEL, C. 2018. An international investigation into student concerns regarding transition into higher education. In Proceedings of the 23rd Association for Computing Machinery (ACM) innovation and technology in computer science education annual conference (ITiCSE 2018), 2-4 July 2018, Larnacs, Cyprus. New York: ACM [online], pages 344-345. Available from: http://dx.doi.org/10.1145/3197091.3205842
    The experience of transitioning into and starting higher education is a very individual one, with some applicants viewing the prospect of higher education as an unknown entity; for those who are first in their family or ...
  • FITsense: employing multi-modal sensors in smart homes to predict falls. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (Springer https://doi.org/10.1007/978-3-030-01081-2_17, 2018-10-09)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. FITsense: employing multi-modal sensors in smart homes to predict falls. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 249-263. Available from: https://doi.org/10.1007/978-3-030-01081-2_17
    As people live longer, the increasing average age of the population places additional strains on our health and social services. There are widely recognised benefits to both the individual and society from supporting people ...
  • Monitoring health in smart homes using simple sensors. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (ICCBR (Organisers) http://ceur-ws.org/Vol-2148/, 2018-07-13)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. Monitoring health in smart homes using simple sensors. In Bach, K., Bunescu, R., Farri, O., Guo, A., Hasan, S., Ibrahim, Z.M., Marling, C., Raffa, J., Rubin, J. and Wu, H. (eds.) Proceedings of the 3rd International workshop on knowledge discovery in healthcare data co-located with the 27th International joint conference on artificial intelligence and the 23rd European conference on artificial intelligence (IJCAI-ECAI 2018), 13 July 2018, Stockholm, Sweden. Stockholm: CEUR [online], pages 33-37. Available from: http://ceur-ws.org/Vol-2148/paper05.pdf
    We consider use of an ambient sensor network, installed in Smart Homes, to identify low level events taking place which can then be analysed to generate a resident's profile of activities of daily living (ADLs). These ADL ...
  • 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 https://doi.org/10.1109/CEC.2018.8477727, 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. In Proceedings of Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. New York: IEEE [online], article ID 8477727. Available from: https://doi.org/ 10.1109/CEC.2018.8477727
    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 ...
  • Case based reasoning as a model for cognitive artificial intelligence. 

    Craw, Susan; Aamodt, Agnar (Springer https://doi.org/10.1007/978-3-030-01081-2_5, 2018-10-09)
    CRAW, S. and AAMODT, A. 2018. Case based reasoning as a model for cognitive artificial intelligence. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 62-77. Available from: https://doi.org/10.1007/978-3-030-01081-2_5.
    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 ...
  • Maintenance of case bases: current algorithms after fifty years. 

    Juarez, Jose M.; Craw, Susan; Lopez-Delgado, J. Ricardo; Campos, Manuel (International Joint Conferences on Artificial Intelligence https://doi.org/10.24963/ijcai.2018/770 http://www.ijcai.org, 2018-07-13)
    JUAREZ, J.M., CRAW, S., LOPEZ-DELGADO, J.R. and CAMPOS, M. 2018. Maintenance of case bases: current algorithms after fifty years. In Lang, J. (ed.) Proceedings of the 27th International joint conference on artificial intelligence (IJCAI-18), 13-19 July 2018, Stockholm, Sweden. Freiburg: IJCAI [online], pages 5457-5463. Available from: https://doi.org/10.24963/ijcai.2018/770
    Case-Based Reasoning (CBR) learns new knowledge from data and so can cope with changing environments. CBR is very different from modelbased systems since it can learn incrementally as new data is available, storing new ...
  • Personalised human activity recognition using matching networks. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer https://doi.org/10.1007/978-3-030-01081-2_23, 2018-10-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Personalised human activity recognition using matching networks. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 339-353. Available from: https://doi.org/10.1007/978-3-030-01081-2_23
    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 https://doi.org/10.1007/978-3-030-01081-2_30, 2018-10-09)
    WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. 2018. Improving kNN for human activity recognition with privileged learning using translation models. In Cox, M.T., Funk, P. and Begum, S. (eds.) Lecture notes in computer science, 11156. Case-based reasoning research and development; proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], pages 448-463. Available from: https://doi.org/10.1007/978-3-030-01081-2_30
    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 ...

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