Recent Submissions

  • 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 ...
  • Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. 

    Regnier-Coudert, Olivier; McCall, John; Lothian, Robert; Lam, Thomas; McClinton, Sam; N'Dow, James (Elsevier https://doi.org/10.1016/j.artmed.2011.11.003, 2011-12-27)
    REGNIER-COUDERT, O., MCCALL, J., LOTHIAN, R., LAM, T., MCCLINTON, S. and N'DOW, J. 2012. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. Artificial intelligence in medicine [online], 55(1), pages 25-35. Available from: https://doi.org/10.1016/j.artmed.2011.11.003
    Objectives: Prediction of prostate cancer pathological stage is an essential step in a patient's pathway. It determines the treatment that will be applied further. In current practice, urologists use the pathological stage ...
  • FITsense: multi-modal sensors in smart homes to predict falls. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (Springer http://iccbr18.com/accepted-papers/, 2018-07-09)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. [2018]. FITsense: multi-modal sensors in smart homes to predict falls. 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 [online], (accepted).
    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 ...
  • Emotion-aware polarity lexicons for Twitter sentiment analysis. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Padmanabhan, Deepak
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and DEEPAK, P. [2018]. Emotion-aware polarity lexicons for Twitter sentiment analysis. Expert systems [online], (accepted).
    Theoretical frameworks in psychology map the relationships between emotions and sentiments. In this paper we study the role of such mapping for computational emotion detection from text (e.g. social media) with a aim to ...
  • X-FDR: a cross-layer routing protocol for multi-hop full-duplex wireless networks. 

    Al-Kadri, M. Omar; Aijaz, Adnan; Nallanathan, Arumugam
    AL-KADRI, M.O., AIJAZ, A. and NALLANATHAN, A. [2018]. X-FDR: a cross-layer routing protocol for multi-hop full-duplex wireless networks. IEEE wireless communications [online], (accepted).
    The recent developments in self-interference (SI) cancellation techniques have led to the practical realization of full-duplex (FD) radios that can perform simultaneous transmission and reception. FD technology is attractive ...
  • 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 ...
  • 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 ...
  • 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 (Springer https://doi.org/10.1007/s00521-018-3583-1, 2018-06-13)
    MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2018. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], OnlineFirst. 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 ...

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