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All Outputs (56)

Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care (2014)
Conference Proceeding
Brown, M., Pinchin, J., Blum, J., Sharples, S., Shaw, D., Housley, G., …Blakey, J. (2014). Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care. In HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Proceedings, Part II (395-400). https://doi.org/10.1007/978-3-319-07854-0_69

'Out of Hours' (OoH) hospital care involves a small number of doctors covering a very large number of patients. These doctors are working in stressful environments, performing complex tasks and making difficult task prioritisation decisions, yet litt... Read More about Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care.

Inertial-visual pose tracking using optical flow-aided particle filtering (2014)
Conference Proceeding
Moemeni, A., & Tatham, E. (2014). Inertial-visual pose tracking using optical flow-aided particle filtering. In 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP). https://doi.org/10.1109/cimsivp.2014.7013296

This paper proposes an algorithm for visual-inertial camera pose tracking, using adaptive recursive particle filtering. The method benefits from the agility of inertial-based and robustness of vision-based tracking. A proposal distribution has been d... Read More about Inertial-visual pose tracking using optical flow-aided particle filtering.

An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex (2014)
Conference Proceeding
Asta, S., & Özcan, E. (2014). An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex. In 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). https://doi.org/10.1109/EALS.2014.7009505

Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics f... Read More about An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex.

A feasibility study of an in-the-wild experimental public access WiFi network (2014)
Conference Proceeding
Sathiaseelan, A., Mortier, R., Goulden, M., Greiffenhagen, C., Radenkovic, M., Crowcroft, J., & McAuley, D. (2014). A feasibility study of an in-the-wild experimental public access WiFi network. In Proceedings of the Fifth ACM Symposium on Computing for Development - ACM DEV-5 '14 (33-42). https://doi.org/10.1145/2674377.2674383

© 2014 ACM. Universal Internet access has become critical to modern life, leading to many explorations of approaches to increase its availability. In this paper we report on a study of one such approach, PAWS, that seeks to understand the technical a... Read More about A feasibility study of an in-the-wild experimental public access WiFi network.

Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age (2014)
Conference Proceeding
Hoare, M., Benford, S., Greenhalgh, C., & Chamberlain, A. (2014). Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

A fast expanding network of DIY music communities in the UK see digital technologies transforming ways in which part-time amateur musicians are able to collabo- rate creatively and form alliances, producing unique per- formance techniques, experiment... Read More about Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification (2014)
Conference Proceeding
Torres Torres, M., & Qiu, G. (2014). Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification. In MAED '14: Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data, 19-24. doi:10.1145/2661821.2661824

Habitat classification is a crucial activity for monitoring environmental biodiversity. To date, manual methods, which are laborious, time-consuming and expensive, remain the most successful alternative. Most automatic methods use remote-sensed image... Read More about Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification.

HOG active appearance models (2014)
Conference Proceeding
Antonakos, E., Alabort-i-Medina, J., Tzimiropoulos, G., & Zafeiriou, S. (2014). HOG active appearance models. . https://doi.org/10.1109/ICIP.2014.7025044

We propose the combination of dense Histogram of Oriented Gradients (HOG) features with Active Appearance Models (AAMs). We employ the efficient Inverse Compositional optimization technique and show results for the task of face fitting. By taking adv... Read More about HOG active appearance models.

Soft morphological filter optimization using a genetic algorithm for noise elimination (2014)
Conference Proceeding
Ercal, T., Özcan, E., & Asta, S. (2014). Soft morphological filter optimization using a genetic algorithm for noise elimination. In 2014 14th UK Workshop on Computational Intelligence (UKCI). https://doi.org/10.1109/UKCI.2014.6930177

Digital image quality is of importance in almost all image processing applications. Many different approaches have been proposed for restoring the image quality depending on the nature of the degradation. One of the most common problems that cause su... Read More about Soft morphological filter optimization using a genetic algorithm for noise elimination.

Declarative modelling for Bayesian inference by shallow embedding (2014)
Conference Proceeding
Nilsson, H., & Nielsen, T. A. (2014). Declarative modelling for Bayesian inference by shallow embedding.

A common problem across science and engineering is that aspects of models have to be estimated from observed data. An instance of this familiar to control engineers is system identification. Bayesian inference is a principled way to estimate paramete... Read More about Declarative modelling for Bayesian inference by shallow embedding.

Modified choice function heuristic selection for the Multidimensional Knapsack Problem (2014)
Conference Proceeding
Drake, J. H., Özcan, E., & Burke, E. K. (2014). Modified choice function heuristic selection for the Multidimensional Knapsack Problem. In Genetic and evolutionary computing (225–234). https://doi.org/10.1007/978-3-319-12286-1_23

Hyper-heuristics are a class of high-level search methods used to solve computationally difficult problems, which operate on a search space of low-level heuristics rather than solutions directly. Previous work has shown that selection hyper-heuristic... Read More about Modified choice function heuristic selection for the Multidimensional Knapsack Problem.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2014)
Conference Proceeding
Bayliss, C. D., de Maere, G., Atkin, J., & Paelinck, M. (2014). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Airlines operate in an uncertain environment for many reasons, for example due to the efects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling under crew absence and journey ti... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home (2014)
Conference Proceeding
Victoria, S., Tim, C., Sarah, M., Kher Hui, N., Elizabeth, E., Richard, M., & Stuart, R. (2014). Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home. In UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (931-938). https://doi.org/10.1145/2638728

This paper examines and contrasts two approaches to collecting behavioural data within the home. The first of these involves filming from static video cameras combined with network logging to capture media consumption activities across multiple scree... Read More about Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home.

Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home (2014)
Conference Proceeding
Shipp, V., Coughlan, T., Martindale, S., Ng, K. H., Evans, E., Mortier, R., & Reeves, S. (2014). Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (931-938). https://doi.org/10.1145/2638728.2641558

This paper examines and contrasts two approaches to collecting behavioural data within the home. The first of these involves filming from static video cameras combined with network logging to capture media consumption activities across multiple scree... Read More about Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home.

Energy advisors at work: charity work practices to support people in fuel poverty (2014)
Conference Proceeding
Fischer, J. E., Costanza, E., Ramchurn, S. D., Colley, J. A., & Rodden, T. (2014). Energy advisors at work: charity work practices to support people in fuel poverty.

We present an ethnographic study of energy advisors working for a charity that provides support, particularly to people in fuel poverty. Our fieldwork comprises detailed observations that reveal the collaborative, interactional work of energy advisor... Read More about Energy advisors at work: charity work practices to support people in fuel poverty.

Fuzzy adaptive parameter control of a late acceptance hyper-heuristic (2014)
Conference Proceeding
Jackson, W. G., Özcan, E., & John, R. I. (2014). Fuzzy adaptive parameter control of a late acceptance hyper-heuristic. In 2014 14th UK Workshop on Computational Intelligence (UKCI)

A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of t... Read More about Fuzzy adaptive parameter control of a late acceptance hyper-heuristic.

Interval type-2 fuzzy sets in supplier selection (2014)
Conference Proceeding
Turk, S., John, R., & Özcan, E. (2014). Interval type-2 fuzzy sets in supplier selection. In 2014 14th UK Workshop on Computational Intelligence (UKCI). https://doi.org/10.1109/UKCI.2014.6930168

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets. Moreover, the influence o... Read More about Interval type-2 fuzzy sets in supplier selection.

Analysing fuzzy sets through combining measures of similarity and distance (2014)
Conference Proceeding
McCulloch, J., Wagner, C., & Aickelin, U. (2014). Analysing fuzzy sets through combining measures of similarity and distance.

Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However, these measures can often give misleading results when considered independently, for example giving the same value for two different pairs of fuzzy se... Read More about Analysing fuzzy sets through combining measures of similarity and distance.

Comparison of distance metrics for hierarchical data in medical databases (2014)
Conference Proceeding
Hassan, D., Aickelin, U., & Wagner, C. (2014). Comparison of distance metrics for hierarchical data in medical databases.

Distance metrics are broadly used in different research areas and applications, such as bio-informatics, data mining and many other fields. However, there are some metrics, like pg-gram and Edit Distance used specifically for data with a hierarchical... Read More about Comparison of distance metrics for hierarchical data in medical databases.