Outputs (21)

Modelling electrical car diffusion based on agents (2012)
Journal Article
Yu, L., Zhang, T., Siebers, P., & Aickelin, U. (2012). Modelling electrical car diffusion based on agents. https://doi.org/10.4156/jdcta.vol6.issue19.52

Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the transport in cities is one of the major tactics to achieve the UK government 2020 target of cutting emission. We are developing an agent-based simulation mode... Read More about Modelling electrical car diffusion based on agents.

Automatic inference and measurement of 3D carpal bone kinematics from single view fluoroscopic sequences (2012)
Journal Article
Chen, X., Graham, J., Hutchinson, C., & Muir, L. (2012). Automatic inference and measurement of 3D carpal bone kinematics from single view fluoroscopic sequences. IEEE Transactions on Medical Imaging, 32(2), https://doi.org/10.1109/TMI.2012.2226740

We present a novel framework for estimating the 3D poses and shapes of the carpal bones from single view fluoroscopic sequences. A hybrid statistical model representing both the pose and shape variation of the carpal bones is built, based on a number... Read More about Automatic inference and measurement of 3D carpal bone kinematics from single view fluoroscopic sequences.

The conceptual framing, design and evaluation of device ecologies for collaborative activities (2012)
Journal Article
Coughlan, T., Collins, T. D., Adams, A., Rogers, Y., Haya, P. A., & Martin, E. (2012). The conceptual framing, design and evaluation of device ecologies for collaborative activities. International Journal of Human-Computer Studies, 70(10), https://doi.org/10.1016/j.ijhcs.2012.05.008

A variety of computing technologies, in addition to the personal computer, are now commonly used in many settings. As networking infrastructures mature, it is increasingly feasible and affordable to consider closer integration and use of these hetero... Read More about The conceptual framing, design and evaluation of device ecologies for collaborative activities.

A new model and a hyper-heuristic approach for two-dimensional shelf space allocation (2012)
Journal Article
Bai, R., Van Woensel, T., Kendall, G., & Burke, E. K. (in press). A new model and a hyper-heuristic approach for two-dimensional shelf space allocation. 4OR: A Quarterly Journal of Operations Research, 11(1), https://doi.org/10.1007/s10288-012-0211-2

In this paper, we propose a two-dimensional shelf space allocation model. The second dimension stems from the height of the shelf. This results in an integer nonlinear programming model with a complex form of objective function. We propose a multiple... Read More about A new model and a hyper-heuristic approach for two-dimensional shelf space allocation.

Efficient online subspace learning with an indefinite kernel for visual tracking and recognition (2012)
Journal Article
Liwicki, S., Zafeiriou, S., Tzimiropoulos, G., & Pantic, M. (2012). Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23(10), https://doi.org/10.1109/TNNLS.2012.2208654

We propose an exact framework for online learning with a family of indefinite (not positive) kernels. As we study the case of nonpositive kernels, we first show how to extend kernel principal component analysis (KPCA) from a reproducing kernel Hilber... Read More about Efficient online subspace learning with an indefinite kernel for visual tracking and recognition.

The role of roles: Physical cooperation between humans and robots (2012)
Journal Article
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., & Hirche, S. (2012). The role of roles: Physical cooperation between humans and robots. International Journal of Robotics Research, 31(13), 1656--1674. https://doi.org/10.1177/0278364912455366

Since the strict separation of working spaces of humans and robots has experienced a softening due to recent robotics research achievements, close interaction of humans and robots comes rapidly into reach. In this context, physical human–robot intera... Read More about The role of roles: Physical cooperation between humans and robots.

The algorithmics of solitaire-like games (2012)
Journal Article
Backhouse, R., Chen, W., & Ferreira, J. F. (2013). The algorithmics of solitaire-like games. Science of Computer Programming, 78(11), 2029-2046. https://doi.org/10.1016/j.scico.2012.07.007

One-person solitaire-like games are explored with a view to using them in teaching algorithmic problem solving. The key to understanding solutions to such games is the identification of invariant properties of polynomial arithmetic. We demonstrate th... Read More about The algorithmics of solitaire-like games.

An evolutionary non-Linear great deluge approach for solving course timetabling problems (2012)
Journal Article
Obit, J. H., Ouelhadj, D., Landa-Silva, D., & Alfred, R. (2012). An evolutionary non-Linear great deluge approach for solving course timetabling problems. International Journal of Computer Science Issues, 9(4),

The aim of this paper is to extend our non-linear great deluge algorithm into an evolutionary approach by incorporating a population and a mutation operator to solve the university course timetabling problems. This approach might be seen as a variati... Read More about An evolutionary non-Linear great deluge approach for solving course timetabling problems.

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (2012)
Journal Article
Glaab, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7(7), Article e39932. https://doi.org/10.1371/journal.pone.0039932

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new... Read More about Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK (2012)
Journal Article
Zhang, T., Siebers, P., & Aickelin, U. (2012). A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK. Energy Policy, 47, 102-110. https://doi.org/10.1016/j.enpol.2012.04.027

This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for arc... Read More about A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK.