Outputs (166)

Learning the Quality of Dispatch Heuristics Generated by Automated Programming (2018)
Book Chapter
Parkes, A. J., Beglou, N., & Ozcan, E. (2019). Learning the Quality of Dispatch Heuristics Generated by Automated Programming. In Learning and Intelligent Optimization (154-158). Springer Verlag. https://doi.org/10.1007/978-3-030-05348-2_13

One of the challenges within the area of optimisation, and AI in general, is to be able to support the automated creation of the heuristics that are often needed within effective algorithms. Such an example of automated programming may be performed b... Read More about Learning the Quality of Dispatch Heuristics Generated by Automated Programming.

Understanding labour exploitation in the Spanish agricultural sector using an agent based approach (2018)
Journal Article
Chesney, T., Evans, K., Gold, S., & Trautrims, A. (2019). Understanding labour exploitation in the Spanish agricultural sector using an agent based approach. Journal of Cleaner Production, 214, 696-704. https://doi.org/10.1016/j.jclepro.2018.12.282

Using an agent-based model we explore the model of slavery in modern business developed by Crane (2013). Taking the Spanish agricultural sector—specifically the area of Campo de Dalías in Almería where much of Europe's vegetables are grown—as a case,... Read More about Understanding labour exploitation in the Spanish agricultural sector using an agent based approach.

The Connected Shower: Studying Intimate Data in Everyday Life (2018)
Journal Article
Kwon, H., Fischer, J. E., Flintham, M., & Colley, J. (2018). The Connected Shower: Studying Intimate Data in Everyday Life. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 1-22. https://doi.org/10.1145/3287054

This paper presents the design and field study of the Connected Shower, a bespoke IoT device that captures water flow, temperature, shower-head movement, and shower product weight. We deployed the device in six UK homes for a week to understand the u... Read More about The Connected Shower: Studying Intimate Data in Everyday Life.

Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site (2018)
Journal Article
Chen, X., Abbey, S., Bharmal, A., Harris, S., Hudson, E., Krinner, L., …Billeter, R. (2019). Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site. Scandinavian Journal of Medicine and Science in Sports, 29(4), 504-514. https://doi.org/10.1111/sms.13369

A density model of neurovascular structures was generated from 28 human vastus lateralis muscles isolated from embalmed cadavers. The intramuscular portion of arteries, veins and nerves was dissected, traced on transparencies and digitised before adj... Read More about Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site.

Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification (2018)
Journal Article
Jiménez, M., Triguero, I., & John, R. (2019). Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification. Information Sciences, 479, 301-320. https://doi.org/10.1016/j.ins.2018.12.011

© 2018 Citizen Science, traditionally known as the engagement of amateur participants in research, is showing great potential for large-scale processing of data. In areas such as astronomy, biology, or geo-sciences, where emerging technologies genera... Read More about Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification.

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Conference Proceeding
Faboya, O., Figueredo, G. P., Ryan, B., & Siebers, P. (2018). Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. In The 21st IEEE International Conference on Intelligent Transportation Systems (144-149). https://doi.org/10.1109/ITSC.2018.8569946

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and... Read More about Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.

An Artificial Intelligence Method for Comfort Level Prediction (2018)
Conference Proceeding
Masoud Sajjadian, S. M., Jafari, M., & Siebers, P. (2019). An Artificial Intelligence Method for Comfort Level Prediction. In KES-SEB 2018: Sustainability in Energy and Buildings 2018 - Proceedings of the 10th International Conference in Sustainability on Energy and Buildings (169-177). https://doi.org/10.1007/978-3-030-04293-6_17

With the rapid demand for the energy efficient consumption in buildings, bridging the gap between predicted and measured performance is essential. However, recent studies show that there is a significant mismatch between predicted and actual building... Read More about An Artificial Intelligence Method for Comfort Level Prediction.

Talking with Alexa (2018)
Journal Article
Reeves, S., & Porcheron, M. (2018). Talking with Alexa. Psychologist, 31,

Postnatal gestational age estimation of newborns using Small Sample Deep Learning (2018)
Journal Article
Torres Torres, M., Valstar, M., Henry, C., Ward, C., & Sharkey, D. (2019). Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image and Vision Computing, 83-84, 87-99. https://doi.org/10.1016/j.imavis.2018.09.003

© 2018 A baby's gestational age determines whether or not they are premature, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these are expensive, require traine... Read More about Postnatal gestational age estimation of newborns using Small Sample Deep Learning.

Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study (2018)
Conference Proceeding
Rosli Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2018). Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. In Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI 2018) (420-426). https://doi.org/10.1109/SSCI.2018.8628924

In recent years, researchers have become increasingly more interested in designing an interpretable Fuzzy Logic System (FLS). Many studies have claimed that reducing the complexity of FLSs can lead to improved model interpretability. That is, reducin... Read More about Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study.