All Outputs (144)

Fame or function? How webcomic artists choose where to share (2015)
Conference Proceeding
Dowthwaite, L., Houghton, R., & Mortier, R. (2015). Fame or function? How webcomic artists choose where to share. In Contemporary Ergonomics and Human Factors 2015 (355-362). https://doi.org/10.1201/b18293

Online social networks are complex systems that are traditionally discussed in several different ways, often revolving around either the technology and design of the platforms themselves, or the behaviour and social interactions of the communities th... Read More about Fame or function? How webcomic artists choose where to share.

The Fallacy of Endogenous Discounting of Trust Recommendations (2015)
Conference Proceeding
Muller, T., Liu, Y., & Zhang, J. (2015). The Fallacy of Endogenous Discounting of Trust Recommendations. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (563-572). https://doi.org/10.5555/2772879.2772951

Recommendations are widely used in recommender systems, reputation systems, and trust-based security systems. Some existing reputation systems and trust-based security systems use the flawed notion of endogenous discounting. Endogenous discounting is... Read More about The Fallacy of Endogenous Discounting of Trust Recommendations.

Using Information Theory to Improve the Robustness of Trust Systems (2015)
Conference Proceeding
Wang, D., Muller, T., Irissappane, A. A., Zhang, J., & Liu, Y. (2015). Using Information Theory to Improve the Robustness of Trust Systems. In AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (791--799). https://doi.org/10.5555/2772879.2773255

Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations) about trustee agents are sought by truster agents from others (advisor agents). A robust trust system should remain accurate, even... Read More about Using Information Theory to Improve the Robustness of Trust Systems.

Ethics of Personalized Information Filtering (2015)
Book Chapter
Carter, C. J., Koene, A., Perez, E., Statache, R., Adolphs, S., O’Malley, C., …McAuley, D. (2015). Ethics of Personalized Information Filtering. In Internet Science (123-132). Springer Verlag. https://doi.org/10.1007/978-3-319-18609-2_10

Online search engines, social media, news sites and retailers are all investing heavily in the development of ever more refined information filtering to optimally tune their services to the specific demands of their individual users and customers. In... Read More about Ethics of Personalized Information Filtering.

Understanding social media and sound: music, meaning and membership, the case of SoundCloud (2015)
Conference Proceeding
Chamberlain, A., McGrath, S., & Benford, S. (2015). Understanding social media and sound: music, meaning and membership, the case of SoundCloud.

Social media technologies have meant that people’s mu- sic consumption and production practices have rapidly changed and evolved. In this paper, we start to explore and present some of our initial findings in respect to this growing area of research... Read More about Understanding social media and sound: music, meaning and membership, the case of SoundCloud.

Sonifying the Scene: re-framing and manipulating meaning through audio augmentation (2015)
Conference Proceeding
Chamberlain, A., & Hazzard, A. (2015). Sonifying the Scene: re-framing and manipulating meaning through audio augmentation.

Digital locative music technologies are transforming the ways in which we are able to manipulate and re-frame the meaning of architecture, landscape and art. In this note we explore and outline some of the key features that are associated with this.... Read More about Sonifying the Scene: re-framing and manipulating meaning through audio augmentation.

Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem (2015)
Conference Proceeding
Laesanklang, W., Pinheiro, R. L., Algethami, H., & Landa-Silva, D. (2015). Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem. In D. D. Werra, G. H. Parlier, & B. Vitoriano (Eds.), Operations research and enterprise systems: 4th International Conference, ICORES 2015, Lisbon, Portugal, January 10-12, 2015: revised selected papers (191–211). https://doi.org/10.1007/978-3-319-27680-9_12

© Springer International Publishing Switzerland 2015. We propose an approach based on mixed integer programming (MIP) with decomposition to solve a workforce scheduling and routing problem, in which a set of workers should be assigned to tasks that a... Read More about Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem.

TRIC-track: tracking by regression with incrementally learned cascades (2015)
Conference Proceeding
Wang, X., Valstar, M. F., Martinez, B., Khan, M. H., & Pridmore, T. (2015). TRIC-track: tracking by regression with incrementally learned cascades. In 2015 IEEE International Conference on Computer Vision (ICCV) (4337-4345). https://doi.org/10.1109/ICCV.2015.493

This paper proposes a novel approach to part-based track- ing by replacing local matching of an appearance model by direct prediction of the displacement between local image patches and part locations. We propose to use cascaded regression with incre... Read More about TRIC-track: tracking by regression with incrementally learned cascades.

Leaf segmentation in plant phenotyping: a collation study (2015)
Journal Article
Scharr, H., Minervini, M., French, A. P., Klukas, C., Kramer, D. M., Liu, X., …Tsaftaris, S. A. (2016). Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications, 27(4), 585-606. https://doi.org/10.1007/s00138-015-0737-3

Image-based plant phenotyping is a growing application area of computer vision in agriculture. A key task is the segmentation of all individual leaves in images. Here we focus on the most common rosette model plants, Arabidopsis and young tobacco. Al... Read More about Leaf segmentation in plant phenotyping: a collation study.

Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images (2015)
Journal Article
Mairhofer, S., Johnson, J., Sturrock, C., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2016). Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images. Machine Vision and Applications, 27(5), 721-734. https://doi.org/10.1007/s00138-015-0733-7

We propose a visual object tracking framework for the extraction of multiple interacting plant root systems from three-dimensional X-ray micro computed tomography images of plants grown in soil. Our method is based on a level set framework guided by... Read More about Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images.

Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation (2015)
Conference Proceeding
Navarro, J., Wagner, C., & Aickelin, U. (2015). Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation.

Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to provide so-called interpretable classifiers, i.e. classifiers which can be introspective, understood, validated and augmented by human experts by relying on fuzzy-set based rules.... Read More about Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation.

Using simulation to assist recruitment in seasonally dependant contact centers (2015)
Conference Proceeding
May, L., & Siebers, P. (2015). Using simulation to assist recruitment in seasonally dependant contact centers. In 2015 Winter Simulation Conference (WSC)doi:10.1109/WSC.2015.7408278

The weather is unpredictable and can have a large impact on the profitability of seasonal businesses, particularly if staffing requirements are highly temperature-dependent. In this paper we describe our efforts in developing a what-if analysis tool... Read More about Using simulation to assist recruitment in seasonally dependant contact centers.

"I’ve got a sheep with three legs if anybody wants it?’" - re-visioning the rural economy (2015)
Journal Article
Crabtree, A., Chamberlain, A., Valchovska, S., Davies, M., Glover, K., & Greenhalgh, C. (2015). "I’ve got a sheep with three legs if anybody wants it?’" - re-visioning the rural economy. Personal and Ubiquitous Computing, 19(8), https://doi.org/10.1007/s00779-015-0890-8

This paper reports on a study of 4CG, a cooperative enterprise located in rural Wales. 4CG operates for the good of the local economy and seeks to diversify its commercial portfolio through the creation of an online shop retailing goods and services... Read More about "I’ve got a sheep with three legs if anybody wants it?’" - re-visioning the rural economy.

Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection (2015)
Conference Proceeding
Almaev, T., Martinez, B., & Valstar, M. F. (2015). Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection. In 2015 IEEE International Conference on Computer Vision (ICCV 2015). https://doi.org/10.1109/ICCV.2015.430

In this article we explore the problem of constructing person-specific models for the detection of facial Action Units (AUs), addressing the problem from the point of view of Transfer Learning and Multi-Task Learning. Our starting point is the fact t... Read More about Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection.

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining (2015)
Journal Article
Reps, J. M., Aickelin, U., & Hubbard, R. B. (2016). Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. Computers in Biology and Medicine, 69, https://doi.org/10.1016/j.compbiomed.2015.11.014

Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction signals obtained via longitudinal observational data. Methods: We co... Read More about Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining.

Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework (2015)
Conference Proceeding
Figueredo, G. P., Wagner, C., Garibaldi, J. M., & Aickelin, U. (2015). Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. . https://doi.org/10.1109/Trustcom.2015.571

In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is to develop a system that accepts large data sets as inputs and provid... Read More about Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework.

Extracting multiple interacting root systems using X-ray microcomputed tomography (2015)
Journal Article
Mairhofer, S., Sturrock, C., Mooney, S. J., Pridmore, T. P., & Bennett, M. J. (2015). Extracting multiple interacting root systems using X-ray microcomputed tomography. Plant Journal, 84(5), 1034-1043. https://doi.org/10.1111/tpj.13047

© 2015 The Authors The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd. Root system interactions and competition for resources are active areas of research that contribute to our understanding of how roots perc... Read More about Extracting multiple interacting root systems using X-ray microcomputed tomography.

A Variable Neighbourhood Search for nurse scheduling with balanced preference satisfaction (2015)
Conference Proceeding
Constantino, A. A., Tozzo, E., Pinheiro, R. L., Landa-Silva, D., & Romão, W. (2015). A Variable Neighbourhood Search for nurse scheduling with balanced preference satisfaction.

The nurse scheduling problem (NSP) is a combinatorial optimisation problem widely tackled in the literature. Recently, a new variant of this problem was proposed, called nurse scheduling problem with balanced preference satisfaction (NSPBPS). This pa... Read More about A Variable Neighbourhood Search for nurse scheduling with balanced preference satisfaction.

The first Facial Landmark Tracking in-the-Wild Challenge: benchmark and results (2015)
Conference Proceeding
Shen, J., Zafeiriou, S., Chrysos, G. G., Kossaifi, J., Tzimiropoulos, G., & Pantic, M. (2015). The first Facial Landmark Tracking in-the-Wild Challenge: benchmark and results.

Detection and tracking of faces in image sequences is among the most well studied problems in the intersection of statistical machine learning and computer vision. Often, tracking and detection methodologies use a rigid representation to describe the... Read More about The first Facial Landmark Tracking in-the-Wild Challenge: benchmark and results.

The effects of pushback delays on airport ground movement (2015)
Journal Article
Stergianos, C., Atkin, J., Schittekat, P., Nordlander, T. E., Gerada, C., & Morvan, H. (in press). The effects of pushback delays on airport ground movement

With the constant increase in air traffic, airports are facing capacity problems. Optimisation methods for specific airport processes are starting to be increasingly utilised by many large airports. However, many processes do happen in parallel, and... Read More about The effects of pushback delays on airport ground movement.