Outputs (150)

A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex (2015)
Presentation / Conference Contribution
Drake, J. H., Özcan, E., & Burke, E. K. A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex. Presented at 2015 IEEE Congress on Evolutionary Computation (CEC2015)

Hyper-heuristics are search methodologies which operate at a higher level of abstraction than traditional search and optimisation techniques. Rather than operating on a search space of solutions directly, a hyper-heuristic searches a space of low-lev... Read More about A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex.

A modified choice function hyper-heuristic controlling unary and binary operators (2015)
Presentation / Conference Contribution
Drake, J. H., Özcan, E., & Burke, E. K. A modified choice function hyper-heuristic controlling unary and binary operators. Presented at 2015 IEEE Congress on Evolutionary Computation (CEC2015)

Hyper-heuristics are a class of high-level search methodologies which operate on a search space of low-level heuristics or components, rather than on solutions directly. Traditional iterative selection hyper-heuristics rely on two key components, a h... Read More about A modified choice function hyper-heuristic controlling unary and binary operators.

Indexed containers (2015)
Journal Article
Altenkirch, T., Ghani, N., Hancock, P., McBride, C., & Morris, P. (2015). Indexed containers. Journal of Functional Programming, 25, 1-41. https://doi.org/10.1017/s095679681500009x

We show that the syntactically rich notion of strictly positive families can be reduced to a core type theory with a fixed number of type constructors exploiting the novel notion of indexed containers. As a result, we show indexed containers provide... Read More about Indexed containers.

Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering (2015)
Journal Article
Chambers, J. E., Meldrum, P. I., Wilkinson, P. B., Ward, W. O., Jackson, C. R., Matthew, B., Joel, P., Kuras, O., Bai, L., Uhlemann, S., & Gunn, D. (2015). Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering. Engineering Geology, 193, https://doi.org/10.1016/j.enggeo.2015.05.015

Dewatering systems used for mining and quarrying operations often result in highly artificial and complex groundwater conditions, which can be difficult to characterise and monitor using borehole point sampling approaches. Here automated time-lapse e... Read More about Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering.

Efficient minimal preference change (2015)
Journal Article
Alechina, N., Liu, F., & Logan, B. (2018). Efficient minimal preference change. Journal of Logic and Computation, 28(8), 1715–1733. https://doi.org/10.1093/logcom/exv027

In this article, we study a minimal change approach to preference dynamics. We treat a set of preferences as a special kind of theory, and define minimal change preference contraction and revision operations in the spirit of the Alchourrón, Gärdenfor... Read More about Efficient minimal preference change.

Feature-based Lucas-Kanade and Active Appearance Models (2015)
Journal Article
Antonakos, E., Alabort-i-Medina, J., Tzimiropoulos, G., & Zafeiriou, S. P. (2015). Feature-based Lucas-Kanade and Active Appearance Models. IEEE Transactions on Image Processing, 24(9), https://doi.org/10.1109/TIP.2015.2431445

Lucas-Kanade and Active Appearance Models are among the most commonly used methods for image alignment and facial fitting, respectively. They both utilize non-linear gradient descent, which is usually applied on intensity values. In this paper, we pr... Read More about Feature-based Lucas-Kanade and Active Appearance Models.

Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification (2015)
Journal Article
Aleskandarany, M. A., Soria, D., Green, A. R., Nolan, C., Diez-Rodriguez, M., Ellis, I. O., & Rakha, E. A. (2015). Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification. Breast Cancer Research and Treatment, 151(2), 325-333. https://doi.org/10.1007/s10549-015-3406-3

Accurate distant metastasis (DM) prediction is critical for risk stratification and effective treatment decisions in breast cancer (BC). Many prognostic markers/models based on tissue marker studies are continually emerging using conventional statist... Read More about Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification.

Identifying candidate risk factors for prescription drug side effects using causal contrast set mining (2015)
Presentation / Conference Contribution
Reps, J. M., & Aickelin, U. Identifying candidate risk factors for prescription drug side effects using causal contrast set mining. Presented at Health Information Science (4th International Conference, HIS 2015, Melbourne, Australia, May 28-30)

Big longitudinal observational databases present the opportunity to extract new knowledge in a cost effective manner. Unfortunately, the ability of these databases to be used for causal inference is limited due to the passive way in which the data ar... Read More about Identifying candidate risk factors for prescription drug side effects using causal contrast set mining.

Practical run-time norm enforcement with bounded lookahead (2015)
Presentation / Conference Contribution
Alechina, N., Bulling, N., Dastani, M., & Logan, B. Practical run-time norm enforcement with bounded lookahead. Presented at 14th International Conference on Autonomous Agents and Multiagent Systems

Norms have been widely proposed as a means of coordinating and controlling the behaviour of agents in a multi-agent system. A key challenge in normative MAS is norm enforcement: how and when to restrict the agents’ behaviour in order to obtain a des... Read More about Practical run-time norm enforcement with bounded lookahead.

HAC-ER: A Disaster Response System based on Human-Agent Collectives (2015)
Presentation / Conference Contribution
Ramchurn, S. D., Huynh, T. D., Ikuno, Y., Flann, J., Wu, F., Moreau, L., Jennings, N. R., Fischer, J. E., Jiang, W., Rodden, T., Simpson, E., Reece, S., & Roberts, S. (2015, May). HAC-ER: A Disaster Response System based on Human-Agent Collectives. Presented at 2015 International Conference on Autonomous Agents and Multiagent Systems, Istanbul, Turkey

This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-of-the-art algorithms, to collaboratively plan and carry out tasks in... Read More about HAC-ER: A Disaster Response System based on Human-Agent Collectives.