Outputs (87)

AR Fighter: Using HMDs to Create Vertigo Play Experiences (2018)
Presentation / Conference Contribution
Byrne, R., Marshall, J., & Mueller, F. ". (2018, October). AR Fighter: Using HMDs to Create Vertigo Play Experiences. Presented at CHI PLAY'18: 2018 Annual Symposium on Computer-Human Interaction in Play, Melbourne, Australia

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). 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)
Presentation / Conference Contribution
Peng, S., & Dario, L.-S. (2018, September). Lookahead policy and genetic algorithm for solving nurse rostering problems. Presented at 4th International Conference on Machine Learning, Optimization and Data Science (LOD 2018)

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.

Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies (2018)
Presentation / Conference Contribution
Kallionpää, M., Chamberlain, A., & Gasselseder, H.-P. (2018, September). Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies. Presented at Audio Mostly 2018: a conference on interaction with sound

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)
Presentation / Conference Contribution
Chamberlain, A., Bødker, M., Kallionpää, M., Ramchurn, R., De Roure, D., Benford, S., Dix, A., & Gasselseder, H.-P. (2018, September). The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces. Presented at Audio Mostly 2018: a conference on interaction with sound

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.

Designing musical soundtracks for Brain Controlled Interface (BCI) systems (2018)
Presentation / Conference Contribution
Ramchurn, R., Chamberlain, A., & Benford, S. (2018, September). Designing musical soundtracks for Brain Controlled Interface (BCI) systems. Presented at Audio Mostly 2018: a conference on interaction with sound

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)
Presentation / Conference Contribution
Chamberlain, A. (2018, September). Surfing with sound: an ethnography of the art of no-input mixing. Presented at Audio Mostly 2018: a conference on interaction with sound

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)
Presentation / Conference Contribution
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards low-cost image-based plant phenotyping using reduced-parameter CNN. Presented at CVPPP 2018: Workshop on Computer Vision Problems in Plant Phenotyping

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)
Presentation / Conference Contribution
Thaler, J., Altenkirch, T., & Siebers, P.-O. (2018, September). Pure Functional Epidemics: An Agent-Based Approach. Presented at 30th Symposium on Implementation and Application of Functional Languages, Lowell, Massachusetts, 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 about Pure Functional Epidemics: An Agent-Based Approach.