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Multiple fake classes GAN for data augmentation in face image dataset. (2019)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E. and JAYNE, C. 2019. Multiple fake classes GAN for data augmentation in face image dataset. In Proceedings of the 2019 International joint conference on neural networks (IJCNN 2019), 14-19 July 2019, Budapest, Hungary. Piscataway: IEEE [online], article ID 8851953. Available from: https://doi.org/10.1109/IJCNN.2019.8851953

Class-imbalanced datasets often contain one or more class that are under-represented in a dataset. In such a situation, learning algorithms are often biased toward the majority class instances. Therefore, some modification to the learning algorithm o... Read More

Context-aware anomaly detector for monitoring cyber attacks on automotive CAN bus. (2019)
Conference Proceeding
KALUTARAGE, H.K., AL-KADRI, O., CHEAH, M. and MADZUDZO, G. 2019. Context-aware anomaly detector for monitoring cyber attacks on automotive CAN bus. In Proceedings of 2019 Computer science in cars symposium (CSCS 2019), 8 October 2019, Kaiserslautern, Germany. Available from: https://doi.org/10.1145/1122445.1122456

Automotive electronics is rapidly expanding. An average vehicle contains million lines of software codes, running on 100 of electronic control units (ECUs), in supporting number of safety, driver assistance and infotainment functions. These ECUs are... Read More

Minimum aperture transit in healthy adults of different size to predict egress capability. (2019)
Conference Proceeding
STEWART, A., NEVILL, A. and JOHNSON, C. 2019. Minimum aperture transit in healthy adults of different size to predict egress capability. In Charles, R. and Golightly, D. (eds) Contemporary ergonomics and human factors 2019: proceedings of the Ergonomics and human factors 2019 (EHF 2019), 29 April - 1 May 2019, Stratford-upon-Avon, UK. Birmingham : CIEHF [online]. Available from: https://publications.er...-egress-capability.html

Minimum aperture dimensions have traditionally been considered from an industrial perspective for facilitating safe confined-space working or emergency exit from transportation. However, secular trends for increased typical body size resulting from g... Read More

An ergonomic assessment of small boat lobster fishing. (2019)
Conference Proceeding
DUGUID, A. and VOSPER, H. 2019. An ergonomic assessment of small boat lobster fishing. In Charles, R. and Golightly, D. (eds) Contemporary ergonomics and human factors 2019: proceedings of the Ergonomics and human factors 2019 (EHF 2019), 29 April - 1 May 2019, Stratford-upon-Avon, UK. Birmingham : CIEHF [online]. Available from: https://publications.er...at-lobster-fishing.html

Fishing is a high-risk occupation: among these risks is the high frequency of work-related musculoskeletal injury. While the industry is regulated world-wide, the safety focus is on larger vessels, which is significant given that the vast majority of... Read More

The relationships between users and daylighting design in the 20th century architectural practice. (2019)
Conference Proceeding
BELAKEHAL, A., AOUL, K.T., BENNADJI, A. and FARHI, A. [2019]. The relationships between users and daylighting design in the 20th century architectural practice. To be presented at the 7th Zero energy mass custom home international conference (ZEMCH 2019), 26-28 November 2019, Seoul, Republic of Korea.

Architecture is considered a crossing field between arts and sciences that is supported by multiple, various and complex issues. Considering that architecture is a man’s creation for men, this research explores human factors in architecture. It speci... Read More

Developing a catalogue of explainability methods to support expert and non-expert users. (2019)
Conference Proceeding
MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. [2019]. Developing a catalogue of explainability methods to support expert and non-expert users. To be presented at the 39th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International annual conference (SGAI 2019), 17-19 December 2019, Cambridge, UK.

Organisations face growing legal requirements and ethical responsibilities to ensure that decisions made by their intelligent systems are explainable. However, provisioning of an explanation is often application dependent, causing an extended design... Read More

Learning to self-manage by intelligent monitoring, prediction and intervention. (2019)
Conference Proceeding
WIRATUNGA, N., CORSAR, D., MARTIN, K., WIJEKOON, A., ELYAN, E., COOPER, K., IBRAHIM, Z., CELIKTUTAN, O., DOBSON, R.J., MCKENNA, S., MORRIS, J., WALLER, A., ABD-ALHAMMED, R., QAHWAJI, R. and CHAUDHURI, R. 2019. Learning to self-manage by intelligent monitoring, prediction and intervention. In Wiratunga, N., Coenen, F. and Sani, S. (eds.) Proceedings of 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, 2429. Aachen: CEUR-WS [online], pages 60-67. Available from: http://ceur-ws.org/Vol-2429/paper10.pdf

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 assistive technologies sho... Read More

Macro-BIM adoption study: establishing Nigeria's BIM maturity. (2019)
Conference Proceeding
HAMMA-ADAMA, M. and KOUIDER, T. 2019. Macro-BIM adoption study: establishing Nigeria’s BIM maturity. In Aigbavboa, C. and Thwala, W. (eds.) The construction industry in the fourth industrial revolution: proceedings of the 11th Construction Industry Development Board (CIDB) postgraduate research conference (CIDB 2019): positioning the construction industry in the fourth industrial revolution, 28-30 July 2019, Johannesburg, South Africa. Cham: Springer [online], pages 401-411. Available from: https://doi.org/10.1007/978-3-030-26528-1_40

Construction Industry in Nigeria has since required a disruptive technology to change its construction business and improve its capabilities and productivity. As an on-going research (PhD work) to developing a strategy for an effective Building Infor... Read More

The use of machine learning algorithms for detecting advanced persistent threats. (2019)
Conference Proceeding
EKE, H.N., PETROVSKI, A. and AHRIZ, H. 2019. The use of machine learning algorithms for detecting advanced persistent threats. Presented at the 12th International on security of information and networks conference 2019 (SINCONF 2019), 12-15 September 2019, Sochi, Russia. New York: ACM [online], (accepted). Availalbe from: https://doi.org/10.1145/3357613.3357618

Advanced Persistent Threats (APTs) have been a major challenge in securing both Information Technology (IT) and Operational Technology (OT) systems. Due to their capability to navigates around defenses and to evade detection for a prolonged period of... Read More

Human activity recognition with deep metric learners. (2019)
Conference Proceeding
MARTIN, K., WIJEKOON, A. and WIRATUNGA, N. [2019]. Human activity recognition with deep metric learners. In Workshop proceedings of the 27th International conference on case-based reasoning (ICCBR 2019), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings: CEUR-WS [online], (accepted).

Establishing a strong foundation for similarity-based return is a top priority in Case-Based Reasoning (CBR) systems. Deep Metric Learners (DMLs) are a group of neural network architectures which learn to optimise case representations for similarity-... Read More

Introducing the dynamic customer location-allocation problem. (2019)
Conference Proceeding
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], pages 3157-3164. Available from: https://doi.org/10.1109/CEC.2019.8790150.

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 based on the idea that customer... Read More

Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. (2019)
Conference Proceeding
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], article number 8790133, pages 3078-3085. Available from: https://doi.org/10.1109/CEC.2019.8790133

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 asynchronous variants were... Read More

What are the barriers and drivers toward BIM adoption in Nigeria? (2019)
Conference Proceeding
HAMMA-ADAMA, M. and KOUIDER, T. 2019. What are the barriers and drivers towards BIM adoption in Nigeria? In Skibniewski, M.J. and Hajdu, M. (eds.) Proceedings of the 2019 Creative construction conference (CCC 2019), 29 June – 2 July 2019, Budapest, Hungary. Budapest: Diamond Congress Ltd [online], pages 529-539. Available from:https://2019.creative-c...nference.com/downloads/

The ‘digitalization and collaboration’ or Building Information Modelling (BIM) in the construction industry has been gaining momentum in the recent academic engagements. Despite its existence in many industries (i.e. publishing, retailing, financial... Read More

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

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

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

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

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

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

Reducing computational cost in IoT cyber security: case study of artificial immune system algorithm. (2019)
Conference Proceeding
ZAKARIYYA, I., AL-KADRI, M.O., KALUTARGE, H. and PETROVSKI, A. 2019. Reducing computational cost in IoT cyber security: case study of artificial immune system algorithm. In Obaidat, M. and Samarati, P. (eds.) Proceedings of the 16th International security and cryptography conference (SECRYPT 2019), co-located with the 16th International joint conference on e-business and telecommunications (ICETE 2019), 26-28 July 2019, Prague, Czech Republic. Setúbal, Portugal: SciTePress [online], 2, (forthcoming). Available from: https://doi.org/10.5220/0008119205230528.

Using Machine Learning (ML) for Internet of Things (IoT) security monitoring is a challenge. This is due to their resource constraint nature that limits the deployment of resource-hungry monitoring algorithms. Therefore, the aim of this paper is to i... Read More