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Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games (2015)
Journal Article
Li, J., Kendall, G., & John, R. (2016). Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games. IEEE Transactions on Evolutionary Computation, 20(3), 460-469. https://doi.org/10.1109/TEVC.2015.2490076

© 2015 IEEE. Stability analysis is an important research direction in evolutionary game theory. Evolutionarily stable states have a close relationship with Nash equilibria of repeated games, which are characterized by the folk theorem. When applying... Read More about Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games.

L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection (2015)
Journal Article
Martinez, B., & Valstar, M. F. (2016). L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection. Image and Vision Computing, https://doi.org/10.1016/j.imavis.2015.09.003

We propose a new methodology for facial landmark detection. Similar to other state-of-the-art methods, we rely on the use of cascaded regression to perform inference, and we use a feature representation that results from concatenating 66 HOG descript... Read More about L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection.

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.

A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows (2015)
Journal Article
Armas, J. D., Lalla-Ruiz, E., Expósito-Izquierdo, C., Landa-Silva, D., & Melián-Batista, B. (2015). A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows. Engineering Applications of Artificial Intelligence, 45, https://doi.org/10.1016/j.engappai.2015.07.013

This paper addresses the Ship Routing and Scheduling Problem with Discretized Time Windows. Being one of the most relevant and challenging problems faced by decision makers from shipping companies, this tramp shipping problem lies in determining the... Read More about A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows.

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.

Calculating correct compilers (2015)
Journal Article
Bahr, P., & Hutton, G. (2015). Calculating correct compilers. Journal of Functional Programming, 25, Article e14. https://doi.org/10.1017/S0956796815000180

© 2016 Cambridge University Press. In this article, we present a new approach to the problem of calculating compilers. In particular, we develop a simple but general technique that allows us to derive correct compilers from high-level semantics by sy... Read More about Calculating correct compilers.

A data analysis framework to rank HGV drivers (2015)
Conference Proceeding
Figueredo, G. P., Quinlan, P., Mesgarpour, M., Garibaldi, J. M., & John, R. (2015). A data analysis framework to rank HGV drivers.

We report on the details of the methodology applied to support shortlisting the nominees for the Microlise Driver of the Year awards. The aim was to recognise the United Kingdom’s most talented heavy goods vehicle (HGV) drivers, with the list of top... Read More about A data analysis framework to rank HGV drivers.

An iterated multi-stage selection hyper-heuristic (2015)
Journal Article
Kheiri, A., & Özcan, E. (2016). An iterated multi-stage selection hyper-heuristic. European Journal of Operational Research, 250(1), https://doi.org/10.1016/j.ejor.2015.09.003

There is a growing interest towards the design of reusable general purpose search methods that are applicable to di?erent problems instead of tailored solutions to a single particular problem. Hyper-heuristics have emerged as such high level methods... Read More about An iterated multi-stage selection hyper-heuristic.

Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey (2015)
Journal Article
Deveci, M., Çetin Demirel, N., John, R., & Özcan, E. (in press). Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey. Journal of Natural Gas Science and Engineering, 27(2), https://doi.org/10.1016/j.jngse.2015.09.004

The problem of choosing the best location for CO2 storage is a crucial and challenging multi-criteria decision problem for some companies. This study compares the performance of three fuzzy-based multi-criteria decision making (MCDM) methods, includi... Read More about Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey.

Lessons from building an automated pre-departure sequencer for airports (2015)
Journal Article
Atkin, J. A. D., Karapetyan, D., Parkes, A. J., & Castro-Gutierrez, J. (2015). Lessons from building an automated pre-departure sequencer for airports. Annals of Operations Research, 252(2), 435-453. https://doi.org/10.1007/s10479-015-1960-z

© 2015, Springer Science+Business Media New York. Commercial airports are under increasing pressure to comply with the Eurocontrol collaborative decision making (CDM) initiative, to ensure that information is passed between stakeholders, integrate au... Read More about Lessons from building an automated pre-departure sequencer for airports.

Privacy concerns arising from internet service personalization filters (2015)
Journal Article
Koene, A., Perez, E., Carter, C. J., Statache, R., Adolphs, S., O’Malley, C., …McAuley, D. (2015). Privacy concerns arising from internet service personalization filters. Computers and Society, 45(3), https://doi.org/10.1145/2874239.2874263

Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product recommender systems to optimize the individual... Read More about Privacy concerns arising from internet service personalization filters.

Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing (2015)
Conference Proceeding
Tyasnurita, R., Özcan, E., Shahriar, A., & John, R. (2015). Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing.

A hyper-heuristic is a heuristic optimisation method which generates or selects heuristics (move operators) based on a set of components while solving a computationally difficult problem. Apprenticeship learning arises while observing the behavior of... Read More about Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing.

Learning from the experts: enabling and studying DIY development of location-based visitor experiences (2015)
Conference Proceeding
Bedwell, B. D., Slack, P., & Greenhalgh, C. (2015). Learning from the experts: enabling and studying DIY development of location-based visitor experiences. . https://doi.org/10.1145/2750858.2805838

In this paper we show how -- with the aid of enabling technology -- creative Location Based Experiences can be developed for visitors by non-technical professionals from the cultural heritage sector. We look at how these "Place Experts" approach and... Read More about Learning from the experts: enabling and studying DIY development of location-based visitor experiences.

(1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval (2015)
Conference Proceeding
Ibrahim, O. A. S., & Landa-Silva, D. (2016). (1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval. In P. Angelov, A. Gegov, C. Jayne, & Q. Shen (Eds.), Advances in computational intelligence systems: contributions presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK (387–405). https://doi.org/10.1007/978-3-319-46562-3_25

In many contexts of Information Retrieval (IR), term weights play an important role in retrieving the relevant documents responding to users' queries. The term weight measures the importance or the information content of a keyword existing in the doc... Read More about (1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval.

Juries: acting out digital dilemmas to promote digital reflections (2015)
Journal Article
Vallejos, E. P., Pothong, K., Coleman, S., Koene, A., Carter, C. J., Statache, R., …O'Malley, C. (2015). Juries: acting out digital dilemmas to promote digital reflections. Computers and Society, 45(3), 84-90. https://doi.org/10.1145/2874239.2874252

A quick journey through prevention science (e.g., substance misuse prevention) and a comparison between online and offline risks, harm, and vulnerability in children suggests that new approaches and interventions are needed to promote Internet safety... Read More about Juries: acting out digital dilemmas to promote digital reflections.

Understanding academic attitudes towards the ethical challenges posed by social media research (2015)
Journal Article
Carter, C. J., Koene, A., Perez, E., Statache, R., Adolphs, S., O'Malley, C., …McAuley, D. (2016). Understanding academic attitudes towards the ethical challenges posed by social media research. Computers and Society, 45(3), https://doi.org/10.1145/2874239.2874268

In this paper, we outline an online survey-based study seeking to understand academic attitudes towards social media research ethics (SMRE). As the exploratory phase of a wider research project, findings are discussed in relation to the responses of... Read More about Understanding academic attitudes towards the ethical challenges posed by social media research.