All Outputs (38)

DEFeND architecture: a privacy by design platform for GDPR compliance. (2019)
Conference Proceeding
PIRAS, L., AL-OBEIDALLAH, M.G., PRAITANO, A., TSOHOU, A., MOURATIDIS, H., GALLEGO-NICASIO CRESPO, B., BERNARD, J.B., FIORANI, M., MAGKOS, E., SANZ, A.C., PAVLIDIS, M., D'ADDARIO, R. and ZORZINO, G.G. 2019. DEFeND architecture: a privacy by design platform for GDPR compliance. In Gritzalis, S., Weippl, E.R., Katsikas, S.K., Anderst-Kotsis, G., Tjoa, A.M. and Khalil, I. (eds.) Trust, privacy and security in digital business: 16th Trust, privacy and security in digital business international conference 2019 (TrustBus 2019), 26-29 August 2019, Linz, Austria. Lecture notes in computer science, 11711. Cham: Springer [online], pages 78-93. Available from: https://doi.org/10.1007/978-3-030-27813-7_6

The advent of the European General Data Protection Regulation (GDPR) imposes organizations to cope with radical changes concerning user data protection paradigms. GDPR, by promoting a Privacy by Design approach, obliges organizations to drastically c... Read More about DEFeND architecture: a privacy by design platform for GDPR compliance..

An online variational inference and ensemble based multi-label classifier for data streams. (2019)
Conference Proceeding
NGUYEN, T.T.T., NGUYEN, T.T., LIEW, A.W.-C., WANG, S.-L., LIANG, T. and HU, Y. 2019. An online variational inference and ensemble based multi-label classifier for data streams. In Proceedings of 11th International conference on advanced computational intelligence (ICACI 2019), 7-9 June 2019, Guilin, China. Piscataway: IEEE [online], pages 302-307. Available from: https://doi.org/10.1109/ICACI.2019.8778594

Recently, multi-label classification algorithms have been increasingly required by a diversity of applications, such as text categorization, web, and social media mining. In particular, these applications often have streams of data coming continuousl... Read More about An online variational inference and ensemble based multi-label classifier for data streams..

VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program. (2019)
Conference Proceeding
YAN, Y., ZHAO, S., FANG, Y., LIU, Y., CHEN, Z. and REN, J. 2020. VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program. In Ren, J., Hussain, A., Zhao, H., Huang, K., Zheng, J., Cai, J., Chen, R. and Xiao, Y. (eds.). 2020. Advances in brain inspired cognitive systems: proceedings of the 10th Brain inspired cognitive systems (BCIS) international conference 2019 (BCIS 2019), 13-14 July 2019, Guangzhou, China. Lecture notes in computer science, 11691. Cham: Springer [online], pages 283-292. Available from: https://doi.org/10.1007/978-3-030-39431-8_27

In this paper, we introduce a new concept in VIP-STB, a funded project through Agri-Tech in China: Newton Network+ (ATCNN), in developing feasible solutions towards scaling-up STB from village level to upper level via some generic models and systems.... Read More about VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program..

Simultaneous meta-data and meta-classifier selection in multiple classifier system. (2019)
Conference Proceeding
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 of ensembles significan... Read More about Simultaneous meta-data and meta-classifier selection in multiple classifier system..

Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. (2019)
Conference Proceeding
LACROIX, B. and MCCALL, J. 2019. Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. In López-Ibáñe, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference (GECCO 2019) companion, 13-17 July 2019, Prague, Czech Republic. New York: Association for Computing Machinery [online], pages 261-262. Available from: https://doi.org/10.1145/3319619.3322051

Benchmark sets and landscape features are used to test algorithms and to train models to perform algorithm selection or configuration. These approaches are based on the assumption that algorithms have similar performances on problems with similar fea... Read More about Limitations of benchmark sets and landscape features for algorithm selection and performance prediction..

On the definition of dynamic permutation problems under landscape rotation. (2019)
Conference Proceeding
ALZA, J., BARTLETT, M., CEBERIO, J. and MCCALL, J. 2019. On the definition of dynamic permutation problems under landscape rotation. In López-Ibáñez, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference companion (GECCO 2019), 13-17 July 2019, Prague, Czech Republic. New York: ACM [online], pages 1518-1526. Available from: https://doi.org/10.1145/3319619.3326840

Dynamic optimisation problems (DOPs) are optimisation problems that change over time. Typically, DOPs have been defined as a sequence of static problems, and the dynamism has been inserted into existing static problems using different techniques. In... Read More about On the definition of dynamic permutation problems under landscape rotation..

Challenges of delivering a graduate apprenticeship. (2019)
Conference Proceeding
YOUNG, T. and ZARB, M. 2019. Challenges of delivering a graduate apprenticeship. In Proceedings of the 24th Innovation and technology in computer science education annual conference (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], page 327. Available from: https://doi.org/10.1145/3304221.3325566

Graduate Apprenticeship degree programmes look to overcome the segregation of learning and working, by integrating traditional education into the context of the work environment. This poster abstract showcases a number of actions that were put into p... Read More about Challenges of delivering a graduate apprenticeship..

Incorporating on-campus days in a graduate apprenticeship. (2019)
Conference Proceeding
YOUNG, T. and ZARB, M. 2019. Incorporating on-campus days in a graduate apprenticeship. In Proceedings of the 24th Innovation and technology in computer science education annual conference (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], page 328. Available from: https://doi.org/10.1145/3304221.3325567

Graduate Apprenticeships look to overcome the segregation of learning and working by integrating traditional education into the context of the work environment. This poster abstract looks to highlight the importance of peer interactions, specifically... Read More about Incorporating on-campus days in a graduate apprenticeship..

Integrating real-world clients in a project management module. (2019)
Conference Proceeding
ZARB, M., YOUNG, T. and BALLEW, W. 2019. Integrating real-world clients in a project management module. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 329. Available from: https://doi.org/10.1145/3304221.3325559

Graduates in CS are required to have a background in project management, but often this is taught as a theoretical module, with little "real-world" relevance. In this poster abstract, a Project Management module has been redeveloped around the idea o... Read More about Integrating real-world clients in a project management module..

Laughter over dread: early collaborative problem solving through an extended induction using robots. (2019)
Conference Proceeding
ZARB, M. and SCOTT, M. 2019. Laughter over dread: early collaborative problem solving through an extended induction using robots. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 249-250. Available from: https://doi.org/10.1145/3304221.3325548

Software development companies want new hires with strong interpersonal and problem solving skills. To ensure the development of such skills, they must be embedded throughout the curriculum. However, many students struggle to collaborate with peers a... Read More about Laughter over dread: early collaborative problem solving through an extended induction using robots..

Perspectives on the student transition into CS1. (2019)
Conference Proceeding
SIEGEL, A.A., ZARB, M., GLASSEY, R. and HUGHES, J. 2019. Perspectives on the student transition into CS1. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 168-169. Available from: https://doi.org/10.1145/3304221.3325540

As students transition into higher education, their experience can be quite new and foreign to them. This experience, while an individual one, consists of many concerns that are shared amongst these transitioning students. Partly as a result of these... Read More about Perspectives on the student transition into CS1..

Developing accessible services: understanding current knowledge and areas for future support. (2019)
Conference Proceeding
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], paper 216. Available from: https://doi.6org/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. However, little is known about... Read More about Developing accessible services: understanding current knowledge and areas for future support..

Implementing GDPR in the Charity Sector: A Case Study (2019)
Conference Proceeding
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Implementing GDPR in the charity sector: a case study. In Kosta, E., Pierson, J., Slamanig, D., Fischer-Hübner, S. and Krenn, S. (eds.) Privacy and identity management: fairness, accountability and transparency in the age of Big Data: revised selected papers from the 13th International Federation for Information Processing Working Groups 9.2, 9.6/11.7, 11.6, Special Interest Group 9.2.2 international summer school (IFIP Summer School 2018), 20-24 August 2018, Vienna, Austria. IFIP advances in information and communication technology, 547. Cham: Springer [online], pages 173-188. Available from: https://doi.org/10.1007/978-3-030-16744-8_12

Due to their organisational characteristics, many charities are poorly prepared for the General Data Protection Regulation (GDPR). We present an exemplar process for implementing GDPR and the DPIA Data Wheel, a DPIA framework devised as part of the c... Read More about Implementing GDPR in the Charity Sector: A Case Study.

Minimality and simplicity of rules for the internet-of-things. (2019)
Conference Proceeding
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-) automatically, via, say, machin... Read More about Minimality and simplicity of rules for the internet-of-things..

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..

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..