Outputs (150)

A study of genetic operators for the Workforce Scheduling and Routing Problem (2015)
Presentation / Conference Contribution
Algethami, H., & Landa-Silva, D. A study of genetic operators for the Workforce Scheduling and Routing Problem. Presented at 11th Metaheuristics International Conference (MIC 2015)

The Workforce Scheduling and Routing Problem (WSRP) is concerned with planning visits of qualified workers to different locations to perform a set of tasks, while satisfying each task time-window plus additional requirements such as customer/workers... Read More about A study of genetic operators for the Workforce Scheduling and Routing Problem.

Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density (2015)
Journal Article
Chen, X., Graham, J., Dabbah, M., Petropoulos, I. N., Ponirakis, G., Asghar, O., Alam, U., Marshall, A., Fadavi, H., Ferdousi, M., Azmi, S., Tavakoli, M., Efron, N., Jeziorska, M., & Malik, R. A. (2015). Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density. Diabetes Care, 38(6), 1138-1144. https://doi.org/10.2337/dc14-2422

OBJECTIVE: Quantitative assessment of small fiber damage is key to the early diagnosis and assessment of progression or regression of diabetic sensorimotor polyneuropathy (DSPN). Intraepidermal nerve fiber density (IENFD) is the current gold standard... Read More about Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density.

Towards an extended festival viewing experience (2015)
Presentation / Conference Contribution
Velt, R., Benford, S., Reeves, S., Evans, M., Glancy, M., & Stenton, P. (2015, June). Towards an extended festival viewing experience. Presented at TVX'15 ACM International Conference on Interactive Experiences for TV and Online Video

Media coverage of large-scale live events is becoming increasingly complex, with technologies enabling the delivery of a broader range of content as well as complex viewing patterns across devices and services. This paper presents a study aimed at un... Read More about Towards an extended festival viewing experience.

ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem (2015)
Journal Article
Triguero, I., del Río, S., López, V., Bacardit, J., Benítez, J. M., & Herrera, F. (2015). ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem. Knowledge-Based Systems, 87, https://doi.org/10.1016/j.knosys.2015.05.027

The application of data mining and machine learning techniques to biological and biomedicine data continues to be an ubiquitous research theme in current bioinformatics. The rapid advances in biotechnology are allowing us to obtain and store large qu... Read More about ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem.

#Scanners: integrating physiology into cinematic experiences (2015)
Presentation / Conference Contribution
Pike, M., Ramchurn, R., & Wilson, M. L. #Scanners: integrating physiology into cinematic experiences. Presented at 2015 ACM SIGCHI Conference on Creativity and Cognition

In this paper we present #Scanners, a digital arts installation that aims to bridge the gap between digital arts and neuroscience. #Scanners is an experience in which an individual wears a wireless brain scanners whilst being presented media which is... Read More about #Scanners: integrating physiology into cinematic experiences.

Augmenting a guitar with its digital footprint (2015)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Chamberlain, A., & Xu, L. Augmenting a guitar with its digital footprint. Presented at 15th International Conference on New Interfaces for Musical Expression

We explore how to digitally augment musical instruments by connecting them to their social histories. We describe the use of Internet of Things technologies to connect an acoustic guitar to its digital footprint – a record of how it was designed, bui... Read More about Augmenting a guitar with its digital footprint.

Considering musical structure in location-based experiences (2015)
Presentation / Conference Contribution
Hazzard, A., Benford, S., Chamberlain, A., & Greenhalgh, C. Considering musical structure in location-based experiences. Presented at 15th International Conference on New Interfaces for Musical Expression

Locative music experiences are often non-linear and as such the final structure of the music heard is guided by the movements of the user. We note an absence of principles regarding how composers should approach the structuring of such locative sound... Read More about Considering musical structure in location-based experiences.

A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation (2015)
Presentation / Conference Contribution
He, F., Qu, R., & John, R. A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation. Presented at 29th European Conference on Modelling and Simulation ECMS 2015

In this paper we investigate a multi-objective portfolio selection model with three criteria: risk, return and liquidity for investors. Non-probabilistic uncertainty factors in the market, such as imprecision and vagueness of investors’ preference an... Read More about A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation.

A software interface for supporting the application of data science to optimisation (2015)
Journal Article
Parkes, A. J., Özcan, E., & Karapetyan, D. (2015). A software interface for supporting the application of data science to optimisation. Lecture Notes in Artificial Intelligence, 8994, 306-311. https://doi.org/10.1007/978-3-319-19084-6_31

Many real world problems can be solved effectively by metaheuristics in combination with neighbourhood search. However, implementing neighbourhood search for a particular problem domain can be time consuming and so it is important to get the most val... Read More about A software interface for supporting the application of data science to optimisation.

A simulated annealing approach to supplier selection aware inventory planning (2015)
Presentation / Conference Contribution
Turk, S., Miller, S., Özcan, E., & John, R. A simulated annealing approach to supplier selection aware inventory planning. Presented at 2015 IEEE Congress on Evolutionary Computation (CEC2015)

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. Also, appropriate inventory management is critical to the success of a supply chain operation. In recent years, there has been a gro... Read More about A simulated annealing approach to supplier selection aware inventory planning.