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Psychological interventions as vaccine adjuvants: A systematic review (2019)
Journal Article
Vedhara, K., Ayling, K., Sunger, K., Caldwell, D. M., Halliday, V., Fairclough, L., …Royal, S. (2019). Psychological interventions as vaccine adjuvants: A systematic review. Vaccine, 37(25), 3255-3266. doi:10.1016/j.vaccine.2019.04.091

Objectives: The effectiveness of vaccines is known to be altered by a range of psychological factors. We conducted a systematic review to evaluate the effects of psychological interventions on the ability of vaccines to protect against disease, as me... Read More about Psychological interventions as vaccine adjuvants: A systematic review.

The need for fuzzy AI (2019)
Journal Article
Garibaldi, J. M. (2019). The need for fuzzy AI. IEEE/CAA Journal of Automatica Sinica, 6(3), 610-622. doi:10.1109/JAS.2019.1911465

Artificial intelligence (AI) is once again a topic of huge interest for computer scientists around the world. Whilst advances in the capability of machines are being made all around the world at an incredible rate, there is also increasing focus on t... Read More about The need for fuzzy AI.

Untangling multi-stakeholder perspectives in digital mental healthcare (2019)
Conference Proceeding
Vallejos, E. P., Nilsson, T., Siebers, O., Siebert, P., Craven, M., & Fuentes, C. (2019). Untangling multi-stakeholder perspectives in digital mental healthcare

Digital mental healthcare constitutes a complex area for development of novel technological solutions. Designers are frequently forced to deal with requirements posed by a range of different stakeholders with particular needs, goals and interests whi... Read More about Untangling multi-stakeholder perspectives in digital mental healthcare.

New Directions for the IoT: Automate, Share, Build, and Care (2019)
Conference Proceeding
Fuentes, C., Porcheron, M., Fischer, J. E., Costanza, E., Verdezoto, N., Herskovic, V., …Takayama, L. (2019). New Directions for the IoT: Automate, Share, Build, and Care. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systemsdoi:10.1145/3290607.3299000

As the IoT is taking hold in the home, in healthcare, factories, and industry, new challenges and approaches arise for HCI research and design. For example, HCI is exploring agency delegation and automation to support the user in managing the deluge... Read More about New Directions for the IoT: Automate, Share, Build, and Care.

Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey (2019)
Journal Article
Stringer, P., Sharples, S., Thomson, B. J., & Garibaldi, J. M. (2019). Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey. BMC Medical Genomics, 12, doi:10.1186/s12920-019-0499-2

Background Genomic services are increasingly accessible to young adults starting their independent lives with responsibility for their self-care, yet their attitudes to sharing genomic information remain under-researched. This study explored attitud... Read More about Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey.

Measuring similarity between discontinuous intervals : challenges and solutions (2019)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2019). Measuring similarity between discontinuous intervals : challenges and solutions. In Proceedings of 2019 IEEE Conference on Fuzzy Systems

Discontinuous intervals (DIs) arise in a wide range of contexts, from real world data capture of human opinion to α-cuts of non-convex fuzzy sets. Commonly, for assessing the similarity of DIs, the latter are converted into their continuous form, fol... Read More about Measuring similarity between discontinuous intervals : challenges and solutions.

A measure of structural complexity of hierarchical fuzzy systems adapted from software engineering (2019)
Conference Proceeding
Razak, T. R., Garibaldi, J. M., & Wagner, C. (in press). A measure of structural complexity of hierarchical fuzzy systems adapted from software engineering

Hierarchical fuzzy systems (HFSs) have been seen as an effective approach to reduce the complexity of fuzzy logic systems (FLSs), largely as a result of reducing the number of rules. However, it is not clear completely how complexity of HFSs can be m... Read More about A measure of structural complexity of hierarchical fuzzy systems adapted from software engineering.

Enhancing supervised classifications with metamorphic relations (2018)
Conference Proceeding
Xu, L., Towey, D., French, A. P., Benford, S., Zhou, Z. Q., & Chen, T. Y. (2018). Enhancing supervised classifications with metamorphic relations. In MET '18: Proceedings of the 3rd International Workshop on Metamorphic Testing, 46-53. doi:10.1145/3193977.3193978

We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enha... Read More about Enhancing supervised classifications with metamorphic relations.

Transforming Big Data into Smart Data: an insight on the use of the k-nearest neighbours algorithm to obtain quality data (2018)
Journal Article
Triguero, I., Garcia-Gil, D., Maillo, J., Luengo, J., Garcia, S., & Herrera, F. (2019). Transforming Big Data into Smart Data: an insight on the use of the k-nearest neighbours algorithm to obtain quality data. 00 Journal not listed, 9(2), doi:10.1002/widm.1289

The k-nearest neighbours algorithm is characterised as a simple yet effective data mining technique. The main drawback of this technique appears when massive amounts of data -likely to contain noise and imperfections - are involved, turning this algo... Read More about Transforming Big Data into Smart Data: an insight on the use of the k-nearest neighbours algorithm to obtain quality data.

AR Fighter: using HMDs to create vertigo play experiences (2018)
Conference Proceeding
Marshall, J., Byrne, R., & Mueller, F. ". (in press). AR Fighter: using HMDs to create vertigo play experiences

Game designers working with Head-Mounted Displays (HMDs) are usually advised to avoid causing disorientation in players. However, we argue that disorientation is a key element of what makes “vertigo play” (such as spinning in circles until dizzy, bal... Read More about AR Fighter: using HMDs to create vertigo play experiences.

A classification of hyper-heuristic approaches: revisited (2018)
Book
Burke, E. K., Hyde, M. R., Kendall, G., Ochoa, G., Özcan, E., & Woodward, J. R. (2018). A classification of hyper-heuristic approaches: revisited. In Handbook of metaheuristics, 453-477. Cham: Springer Publishing Company. doi:10.1007/978-3-319-91086-4_14

Hyper-heuristics comprise a set of approaches that aim to automate the development of computational search methodologies, initially to address operational research problems but more recently venturing into new domains such as bioinformatics, strategi... Read More about A classification of hyper-heuristic approaches: revisited.

Lookahead policy and genetic algorithm for solving nurse rostering problems (2018)
Conference Proceeding
Peng, S., & Dario, L. (2018). Lookahead policy and genetic algorithm for solving nurse rostering problems. In n/a

Previous research has shown that value function approximation in dynamic programming does not perform too well when tackling difficult combinatorial optimisation problem such as multi-stage nurse rostering. This is because the large action space that... Read More about Lookahead policy and genetic algorithm for solving nurse rostering problems.

A preliminary study on automatic algorithm selection for short-term traffic forecasting (2018)
Conference Proceeding
Angarita-Zapata, J. S., Triguero, I., & Masegosa, A. D. (2018). A preliminary study on automatic algorithm selection for short-term traffic forecasting. In Intelligent Distributed Computing XII, 204-214. doi:10.1007/978-3-319-99626-4_18

Despite the broad range of Machine Learning (ML) algorithms, there are no clear baselines to find the best method and its configuration given a Short-Term Traffic Forecasting (STTF) problem. In ML, this is known as the Model Selection Problem (MSP).... Read More about A preliminary study on automatic algorithm selection for short-term traffic forecasting.

Designing musical soundtracks for Brain Controlled Interface (BCI) systems (2018)
Conference Proceeding
Ramchurn, R., Chamberlain, A., & Benford, S. (2018). Designing musical soundtracks for Brain Controlled Interface (BCI) systems. doi:10.1145/3243274.3243288

This paper presents research based on the creation and development of two Brain Controlled Interface (BCI) based film experiences. The focus of this research is primarily on the audio in the films; the way that the overall experiences were designed,... Read More about Designing musical soundtracks for Brain Controlled Interface (BCI) systems.

Surfing with sound: an ethnography of the art of no-input mixing (2018)
Conference Proceeding
Chamberlain, A. (2018). Surfing with sound: an ethnography of the art of no-input mixing. doi:10.1145/3243274.3243289

The idea of No-Input Mixing may appear at first difficult to understand, after all there is no input, yet artists, performers and sound designers have used a variety of approaches using such feedback systems to create music. This paper uses ethnograp... Read More about Surfing with sound: an ethnography of the art of no-input mixing.

The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces (2018)
Conference Proceeding
Chamberlain, A., Bødker, M., Kallionpää, M., Ramchurn, R., De Roure, D., Benford, S., …Gasselseder, H. (2018). The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces. In n/adoi:10.1145/3243274.3243314

This paper outlines some of the issues that we will be discussing in the workshop “The Design of Future Music Technologies: ‘Sounding Out’ AI, Immersive Experiences & Brain Controlled Interfaces.” Musical creation, performance and consumption is at a... Read More about The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces.

Towards low-cost image-based plant phenotyping using reduced-parameter CNN (2018)
Conference Proceeding
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018). Towards low-cost image-based plant phenotyping using reduced-parameter CNN

Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, these networks have many layers and parameters, increasing training a... Read More about Towards low-cost image-based plant phenotyping using reduced-parameter CNN.

Pure functional epidemics (2018)
Conference Proceeding
Thaler, J., Altenkirch, T., & Siebers, P. (2018). Pure functional epidemics. In IFL'18 Proceedings of 30th Symposium on Implementation and Application of Functional Languages, 5-7 September 2018, Lowell, Mass., USA, 1-12. doi:10.1145/3310232.3310372

Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-... Read More about Pure functional epidemics.

An end-to-end deep learning histochemical scoring system for breast cancer TMA (2018)
Journal Article
Liu, J., Xu, B., Zheng, C., Gong, Y., Garibaldi, J., Soria, D., …Qiu, G. (2019). An end-to-end deep learning histochemical scoring system for breast cancer TMA. IEEE Transactions on Medical Imaging, 38(2), 617-628. doi:10.1109/TMI.2018.2868333

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecul... Read More about An end-to-end deep learning histochemical scoring system for breast cancer TMA.