All Outputs (77)

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.

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.

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.

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.

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.

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.

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.

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.

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.

A variable neighbourhood search for the workforce scheduling and routing problem (2015)
Conference Proceeding
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2015). A variable neighbourhood search for the workforce scheduling and routing problem. In N. Pillay, A. P. Engelbrecht, A. Abraham, M. C. du Plessis, V. Snášel, & A. K. Muda (Eds.), Advances in nature and biologically inspired computing: proceedings of the 7th World Congress on Nature and Biologically Inspired Computing, NaBIC2015, in Pietermaritzburg, South Africa, held December 01-03, 2015 (247–259). https://doi.org/10.1007/978-3-319-27400-3_22

The workforce scheduling and routing problem (WSRP) is a combinatorial optimisation problem where a set of workers must perform visits to geographically scattered locations. We present a Variable Neighbourhood Search (VNS) metaheuristic algorithm to... Read More about A variable neighbourhood search for the workforce scheduling and routing problem.

A comparison between two types of Fuzzy TOPSIS method (2015)
Conference Proceeding
Madi, E., Garibaldi, J. M., & Wagner, C. (2015). A comparison between two types of Fuzzy TOPSIS method.

Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to p... Read More about A comparison between two types of Fuzzy TOPSIS method.

From front-end to back-end and everything in-between: work practice in game development (2015)
Conference Proceeding
Koleva, B., Tolmie, P., Brundell, P., Benford, S., & Rennick-Egglestone, S. (2015). From front-end to back-end and everything in-between: work practice in game development.

This paper addresses a paucity in the literature of studies of actual game development. It presents the initial findings from a questionnaire addressed to game development companies together with an ethnographic case study that drills into how resour... Read More about From front-end to back-end and everything in-between: work practice in game development.

Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game (2015)
Conference Proceeding
Manh Vu, T., Siebers, P., Skatova, A., & Turocy, T. (2015). Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game. In Proceedings of the International Conference on Modeling and Applied Simulation 2015

Previous research on social dilemmas demonstrated that various forms of punishment for free-riding can increase contribution levels in public goods games. The way individual group members react to the possibility of punishment can be also affected by... Read More about Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game.

Fast and exact bi-directional fitting of active appearance models (2015)
Conference Proceeding
Kossaifi, J., Tzimiropoulos, G., & Pantic, M. (2015). Fast and exact bi-directional fitting of active appearance models.

Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a... Read More about Fast and exact bi-directional fitting of active appearance models.

Modelling and simulation of rail passengers to evaluate methods to reduce dwell times (2015)
Conference Proceeding
Perkins, A., Ryan, B., & Siebers, P. (2015). Modelling and simulation of rail passengers to evaluate methods to reduce dwell times.

The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from th... Read More about Modelling and simulation of rail passengers to evaluate methods to reduce dwell times.

Human data interaction: historical lessons from social studies and CSCW (2015)
Conference Proceeding
Crabtree, A., & Mortier, R. (2015). Human data interaction: historical lessons from social studies and CSCW.

Human Data Interaction (HDI) is an emerging field of research that seeks to support end-users in the day-to-day management of their personal digital data. This is a programmatic paper that seeks to elaborate foundational challenges that face HDI from... Read More about Human data interaction: historical lessons from social studies and CSCW.