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All Outputs (21)

Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images (2018)
Conference Proceeding
Bukenya, F., Awwad, A., Duan, J., Ehling, J., Faas, H., & Bai, L. (2018). Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (1508-1514). https://doi.org/10.1109/SSCI.2018.8628675

Blood vessel segmentation helps to know the progress of the disease during diagnosis. The presence of intensity in-homogeneity, conglutination tissue and noise in medical images has led to difficulty in extraction of different sizes of blood vessels,... Read More about Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images.

Transforming big data into smart data: An insight on the use of the k-nearest neighbors 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 neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(2), Article e1289. https://doi.org/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 neighbors algorithm to obtain quality data.

AR Fighter: Using HMDs to Create Vertigo Play Experiences (2018)
Conference Proceeding
Byrne, R., Marshall, J., & Mueller, F. ". (2018). AR Fighter: Using HMDs to Create Vertigo Play Experiences. In CHI PLAY '18: Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play (45-57). https://doi.org/10.1145/3242671.3242689

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.

Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms (2018)
Journal Article
Al-Salemi, B., Ayob, M., Kendall, G., & Noah, S. A. M. (2019). Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms. Information Processing and Management, 56(1), 212-227. https://doi.org/10.1016/j.ipm.2018.09.008

© 2018 Elsevier Ltd Multi-label text categorization refers to the problem of assigning each document to a subset of categories by means of multi-label learning algorithms. Unlike English and most other languages, the unavailability of Arabic benchmar... Read More about Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms.

A classification of hyper-heuristic approaches: Revisited (2018)
Book Chapter
Burke, E. K., Hyde, M. R., Kendall, G., Ochoa, G., Özcan, E., & Woodward, J. R. (2019). A classification of hyper-heuristic approaches: Revisited. In Handbook of metaheuristics (453-477). Cham: Springer Publishing Company. https://doi.org/10.1007/978-3-319-91086-4_14

© Springer International Publishing AG, part of Springer Nature 2019. Hyper-heuristics comprise a set of approaches that aim to automate the development of computational search methodologies. This chapter overviews previous categorisations of hyper-h... 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.

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. https://doi.org/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.

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

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/a. https://doi.org/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.

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. https://doi.org/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.

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: An Agent-Based Approach (2018)
Conference Proceeding
Thaler, J., Altenkirch, T., & Siebers, P. (2018). Pure Functional Epidemics: An Agent-Based Approach. In IFL'18 Proceedings of 30th Symposium on Implementation and Application of Functional Languages, 5-7 September 2018, Lowell, Mass., USA (1-12). https://doi.org/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 Agent-Based Approach.

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. https://doi.org/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.

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. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-6). https://doi.org/10.1109/Fuzz-Ieee.2018.8491555

© 2018 IEEE. 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... Read More about SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence.

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 about A bidirectional subsethood based similarity measure for fuzzy sets.

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. https://doi.org/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 about From design fiction to design fact: developing future user experiences with proto-tools.

A Review of Blood Vessel Segmentation Techniques (2018)
Conference Proceeding
Bukenya, F., Kiweewa, A., & Bai, L. (2018). A Review of Blood Vessel Segmentation Techniques. In Proceedings of 1st International Conference on Computer Applications and Information Security (ICCAIS 2018). https://doi.org/10.1109/CAIS.2018.8441989

© 2018 IEEE. Due to the increasing demand for competent vessel segmentation techniques, it is important to review some of the available blood vessel segmentation techniques. This paper presents a survey of state-of-art vessel segmentation techniques.... Read More about A Review of Blood Vessel Segmentation Techniques.

Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks (2018)
Journal Article
Meng, W., Choo, K. K. R., Furnell, S., Vasilakos, A. V., & Probst, C. W. (2018). Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks. IEEE Transactions on Network and Service Management, 15(2), 761-773. https://doi.org/10.1109/TNSM.2018.2815280

© 2004-2012 IEEE. The medical industry is increasingly digitalized and Internet-connected (e.g., Internet of Medical Things), and when deployed in an Internet of Medical Things environment, software-defined networks (SDNs) allow the decoupling of net... Read More about Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks.

Learning Shared Control by Demonstration for Personalized Wheelchair Assistance (2018)
Journal Article
Kucukyilmaz, A., & Demiris, Y. (2018). Learning Shared Control by Demonstration for Personalized Wheelchair Assistance. IEEE Transactions on Haptics, 11(3), 431-442. https://doi.org/10.1109/TOH.2018.2804911

An emerging research problem in assistive robotics is the design of methodologies that allow robots to provide personalized assistance to users. For this purpose, we present a method to learn shared control policies from demonstrations offered by a h... Read More about Learning Shared Control by Demonstration for Personalized Wheelchair Assistance.

Enhancing security behaviour by supporting the user (2018)
Journal Article
Furnell, S., Khern-am-nuai, W., Esmael, R., Yang, W., & Li, N. (2018). Enhancing security behaviour by supporting the user. Computers and Security, 75, 1-9. https://doi.org/10.1016/j.cose.2018.01.016

© 2018 Elsevier Ltd Although the role of users in maintaining security is regularly emphasised, this is often not matched by an accompanying level of support. Indeed, users are frequently given insufficient guidance to enable effective security choic... Read More about Enhancing security behaviour by supporting the user.