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Fall prediction using behavioural modelling from sensor data in smart homes. (2019)
Journal Article
FORBES, G., MASSIE, S. and CRAW, S. 2020. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], 53(2), pages 1071-1091. Available from: https://doi.org/10.1007/s10462-019-09687-7

The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however... Read More about Fall prediction using behavioural modelling from sensor data in smart homes..

Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions. (2019)
Journal Article
XU, X., LI, G., XIE, G., REN, J. and XIE, X. 2019. Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions. Complexity [online], 2019: complex deep learning and evolutionary computing models in computer vision, article 9180391. Available from: https://doi.org/10.1155/2019/9180391

The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations. However, the pi... Read More about Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions..

Why are we here? The educational value model (EVM) as a framework to investigate the role of students' professional identity development. (2019)
Conference Proceeding
NYLÉN, A., DANIELS, M., PEARS, A., CAJANDER, Å., MCDERMOTT, R. and ISOMÖTTÖNEN, V. 2018. Why are we here? The educational value nodel (EVM) as a framework to investigate the role of students’ professional identity development. In Proceedings of the 48th Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education conference 2018 (FIE 2018): fostering innovation through diversity, 3-6 October 2018, San Jose, USA. Piscataway: IEEE [online], article ID 8659055. Available from: https://doi.org/10.1109/fie.2018.8659055

Education can be seen as a preparation for a future profession, where some educational programs very clearly prepare their students for a certain profession, e.g. plumber, nurse and architect. The possible professions for students following education... Read More about Why are we here? The educational value model (EVM) as a framework to investigate the role of students' professional identity development..

Phronesis, authentic learning and the solution of open-ended problems in computer science. (2019)
Conference Proceeding
MCDERMOTT, R., ZARB, M., BALLEW, W., DANIELS, M. and ISOMÖTTÖNEN, V. 2018. Phronesis, authentic learning and the solution of open-ended problems in computer science. In Proceedings of the 48th Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education conference (FIE 2018): fostering innovation through diversity, 3-6 October 2018, San Jose, USA. Piscataway: IEEE [online], article ID 8658512. Available from: https://doi.org/10.1109/fie.2018.8658512

One of the most significant changes in Higher Education pedagogy that has occurred over the past fifty years is the idea that university students should not just be taught theoretical subject knowledge but should engage with practical aspects of thei... Read More about Phronesis, authentic learning and the solution of open-ended problems in computer science..

Investigation into the use of learning agreements to enhance stakeholder engagement and promote self-efficacy in computing education. (2019)
Conference Proceeding
BALLEW, W., MCDERMOTT, R., ZARB, M., DANIELS, M. and CLEAR, T. 2018. Investigation into the use of learning agreements to enhance stakeholder engagement and promote self-efficacy in computing education. In Proceedings of the 48th Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education 2018 (FIE 2018): fostering innovation through diversity, 3-6 October 2018, San Jose, USA. Piscataway: IEEE [online], article ID 865138. Available from: https://doi.org/10.1109/fie.2018.8659138

We examine controversial issues surrounding the locus of control in the implementation of learning agreements, plans or contracts, in the context of the U.K. university-level Graduate Apprenticeship scheme. We begin by giving an account of the stakeh... Read More about Investigation into the use of learning agreements to enhance stakeholder engagement and promote self-efficacy in computing education..

Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images. (2019)
Journal Article
SUN, H., REN, J., ZHAO, H., YAN, Y., ZABALZA, J. and MARSHALL, S. 2019. Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images. Remote sensing [online], 11(5), article 536. Available from: https://doi.org/10.3390/rs11050536

To improve the performance of the sparse representation classification (SRC), we propose a superpixel-based feature specific sparse representation framework (SPFS-SRC) for spectral-spatial classification of hyperspectral images (HSI) at superpixel le... Read More about Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images..

Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. (2019)
Journal Article
LUGHOFER, E., ZAVOIANU, A.-C., POLLAK, R., PRATAMA, M., MEYER-HEYE, P., ZÖRRER, H., EITZINGER, C. and RADAUER, T. 2019. Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. Journal of process control [online], 76, pages 27-45. Available from: https://doi.org/10.1016/j.jprocont.2019.02.005

In modern manufacturing facilities, there are basically two essential phases for assuring high production quality with low (or even zero) defects and waste in order to save costs for companies. The first phase concerns the early recognition of potent... Read More about Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models..

Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. (2019)
Journal Article
MCDERMOTT, C.D., ISAACS, J.P. and PETROVSKI, A.V. 2019. Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. Informatics [online], 6(1), article 8. Available from: https://doi.org/10.3390/informatics6010008

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Intern... Read More about Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks..

Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. (2019)
Journal Article
OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2019. Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. Journal of cloud computing [online], 8, article 1. Available from: https://doi.org/10.1186/s13677-018-0124-5

One of the challenges of deploying multitenant cloud-hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workloa... Read More about Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation..

Ontology alignment based on word embedding and random forest classification. (2019)
Conference Proceeding
NKISI-ORJI, I., WIRATUNGA, N., MASSIE, S., HUI, K.-Y. and HEAVEN, R. 2019. Ontology alignment based on word embedding and random forest classification. In Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. and Ifrim, G. (eds.) Machine learning and knowledge discovery in databases: proceedings of the 2018 European conference on machine learning and principles and practice of knowledge discovery in databases (ECML PKDD 2018), 10-14 September 2018, Dublin, Ireland. Lecture notes in computer science, 11051. Cham: Springer [online], part I, pages 557-572. Available from: https://doi.org/10.1007/978-3-030-10925-7_34

Ontology alignment is crucial for integrating heterogeneous data sources and forms an important component for realising the goals of the semantic web. Accordingly, several ontology alignment techniques have been proposed and used for discovering corr... Read More about Ontology alignment based on word embedding and random forest classification..

Privacy risk assessment in context: a meta-model based on contextual integrity. (2019)
Journal Article
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Privacy risk assessment in context: a meta-model based on contextual integrity. Computers and security [online], 82, pages 270-283. Available from: https://doi.org/10.1016/j.cose.2019.01.003

Publishing data in open format is a growing trend, particularly for public bodies who have a legal obligation to make data available as open data. We look at the privacy implications of publishing open data and, in particular, how organisations can m... Read More about Privacy risk assessment in context: a meta-model based on contextual integrity..

Searching for global employability: can students capitalize on enabling learning environments? (2019)
Journal Article
ISOMÖTTÖNEN, V., DANIELS, M., CAJANDER, A., PEARS, A. and MCDERMOT, R. 2019. Searching for global employability: can students capitalize on enabling learning environments? ACM transactions on computing education, 19(2), article ID 11. Available from: https://doi.org/10.1145/3277568

Literature on global employability signifies “enabling” learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of “projects,” co-located and distributed, have populat... Read More about Searching for global employability: can students capitalize on enabling learning environments?.

'If your mother says she loves you, check it out': citizens' approaches to evaluating the credibility of information provided online by political actors in Scotland. (2019)
Presentation / Conference
BAXTER, G. and MARCELLA, R. 2019. 'If your mother says she loves you, check it out': citizens' approaches to evaluating the credibility of information provided online by political actors in Scotland. Presented at the 2019 Media, Communication and Cultural Studies Association annual conference (MeCCSA 2019), 9-11 January 2019, Stirling, UK.

This paper provided an overview of developments in online information credibility evaluation over the previous 25 years, relating these to the results of two studies conducted by the authors in 2017: 1) an online survey of the general public (n = 538... Read More about 'If your mother says she loves you, check it out': citizens' approaches to evaluating the credibility of information provided online by political actors in Scotland..

Multi-label classification via label correlation and first order feature dependance in a data stream. (2019)
Journal Article
NGUYEN, T.T., NGUYEN, T.T.T., LUONG, A.V., NGUYEN, Q.V.H., LIEW, A.W.-C. and STANTIC, B. 2019. Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern recognition [online], 90, pages 35-51. Available from: https://doi.org/10.1016/j.patcog.2019.01.007

Many batch learning algorithms have been introduced for offline multi-label classification (MLC) over the years. However, the increasing data volume in many applications such as social networks, sensor networks, and traffic monitoring has posed many... Read More about Multi-label classification via label correlation and first order feature dependance in a data stream..