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Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA) (2016)
Book Chapter
Nor Abdul Rahim, S. K., Bargiela, A., & Qu, R. (2016). Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA). In Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015): bridging research endeavo. Springer Singapore. https://doi.org/10.1007/978-981-10-2772-7_8

Amongst the wide-ranging areas of the timetabling problems, educational timetabling was reported as one of the most studied and researched areas in the timetabling literature. In this paper, our focus is the university examination timetabling. Despit... Read More about Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA).

Cancer subtype identification pipeline: a classifusion approach (2016)
Presentation / Conference Contribution
Agrawal, U., Soria, D., & Wagner, C. Cancer subtype identification pipeline: a classifusion approach. Presented at 2016 IEEE Congress on Evolutionary Computation (CEC)

Classification of cancer patients into treatment groups is essential for appropriate diagnosis to increase survival. Previously, a series of papers, largely published in the breast cancer domain have leveraged Computational Intelligence (CI) developm... Read More about Cancer subtype identification pipeline: a classifusion approach.

An investigation of tuning a memetic algorithm for cross-domain search (2016)
Presentation / Conference Contribution
Gumus, D. B., Özcan, E., & Atkin, J. (2016, July). An investigation of tuning a memetic algorithm for cross-domain search. Presented at 2016 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada

Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metaheuristics for solving combinatorial optimisation problems. A common issue with the application of a memetic algorithm is determining the best initial s... Read More about An investigation of tuning a memetic algorithm for cross-domain search.

Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop (2016)
Presentation / Conference Contribution
North, S. Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop. Presented at Third International Conference on Animal-Computer Interaction (ACI2016)

My big themes in this paper are: (i) ‘poetical science’: amalgamating quantitative and qualitative methods into a new hybrid approach for ACI and (ii) identifying ‘honest’ routes to user-centred design for ‘unaware’ interactors (be they neurodiverse... Read More about Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop.

Ask Alice: an artificial retrieval of information agent (2016)
Presentation / Conference Contribution
Valstar, M. F., Baur, T., Cafaro, A., Ghitulescu, A., Potard, B., Wagner, J., André, E., Durieu, L., Aylett, M., Dermouche, S., Pelachaud, C., Coutinho, E., Schuller, B., Zhang, Y., Heylen, D., Theune, M., & Waterschoot, J. V. Ask Alice: an artificial retrieval of information agent. Presented at 18th ACM International Conference on Multimodal Interaction (ICMI 2016)

We present a demonstration of the ARIA framework, a modular approach for rapid development of virtual humans for information retrieval that have linguistic, emotional, and social skills and a strong personality. We demonstrate the framework’s capabil... Read More about Ask Alice: an artificial retrieval of information agent.

Valorising the IoT Databox: creating value for everyone (2016)
Journal Article
Perera, C., Wakenshaw, S. Y., Baarslag, T., Haddadi, H., Bandara, A. K., Mortier, R., Crabtree, A., Ng, I. C., McAuley, D., & Crowcroft, J. (2017). Valorising the IoT Databox: creating value for everyone. Transactions on Emerging Telecommunications Technologies, 28(1), Article e3125. https://doi.org/10.1002/ett.3125

The Internet of Things is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices and social media platforms. Over the last few years, significant attention has been focused on personal d... Read More about Valorising the IoT Databox: creating value for everyone.

A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers (2016)
Presentation / Conference Contribution
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mat... Read More about A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.

Mobile collocated interactions with wearables: past, present, and future (2016)
Journal Article
Lucero, A., Clawson, J., Fischer, J. E., & Robinson, S. (2016). Mobile collocated interactions with wearables: past, present, and future. mUX: The Journal of Mobile User Experience, 5(6), https://doi.org/10.1186/s13678-016-0008-x

This Special Issue focuses on the emerging use of wearable technologies for mobile collocated interactions. Rather than merely listing off the articles that follow, we wish to introduce this Special Issue by discussing the past, present, and future o... Read More about Mobile collocated interactions with wearables: past, present, and future.

Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study (2016)
Presentation / Conference Contribution
Marchal, P. C., Wagner, C., Gámez, J. G., & Gómez, J. O. Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

Decision support systems (DSSs) are a convenient tool to aid plant operators in the selection of process set points. Inputs to these systems for variables that are not easily measured online often come from assessments made by experts, with an associ... Read More about Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.

Exploring differences in interpretation of words essential in medical expert-patient communication (2016)
Presentation / Conference Contribution
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Robert, A. (2016, July). Exploring differences in interpretation of words essential in medical expert-patient communication. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, Canada

In the context of cancer treatment and surgery, quality of life assessment is a crucial part of determining treatment success and viability. In order to assess it, patient-completed questionnaires which employ words to capture aspects of patients’ we... Read More about Exploring differences in interpretation of words essential in medical expert-patient communication.