Research Repository

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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

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

New directions for the IoT: automate, share, build, and care (2018)
Conference Proceeding
Fuentes, C., Porcheron, M., Fischer, J. E., Costanza, E., Verdezoto, N., Herskovic, V., …Takayama, L. (in press). New directions for the IoT: automate, share, build, and care. doi: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

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

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

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

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

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

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

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

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

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

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

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

A bidirectional subsethood based similarity measure for fuzzy sets (2018)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2018). A bidirectional subsethood based similarity measure for fuzzy sets. In N/A

Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional sub... Read More

SPFI: shape-preserving Choquet fuzzy integral for non-normal fuzzy set-valued evidence (2018)
Conference Proceeding
Havens, T. C., Pinar, A. J., Anderson, D. T., & Wagner, C. (2018). SPFI: shape-preserving Choquet fuzzy integral for non-normal fuzzy set-valued evidence

Information or data aggregation is an important part of nearly all analysis problems as summarizing inputs from multiple sources is a ubiquitous goal. In this paper we propose a method for non-linear aggregation of data inputs that take the form of n... Read More

Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies (2018)
Conference Proceeding
Kallionpää, M., Chamberlain, A., & Gasselseder, H. (in press). Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies. doi:10.1145/3243274.3243306

Despite of its long history, opera as an art form is constantly evolving. Composers have never lost their fascination about it and keep exploring with innovative aesthetics, techniques, and modes of expression. New technologies, such as Virtual Reali... Read More

From design fiction to design fact: developing future user experiences with proto-tools (2018)
Book Chapter
Malizia, A., Chamberlain, A., & Willcock, I. (2018). From design fiction to design fact: developing future user experiences with proto-tools. In Human-Computer Interaction. Theories, Methods, and Human Issues 20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part I, 159-168. Springer Publishing Company. doi:10.1007/978-3-319-91238-7_14

Envision a future where the physical and digital become seamlessly intertwined producing unbounded possibilities from interactions with autonomous cars to the advent of smart cities. Tools and methods to explore the design and development of such eme... Read More