Outputs (191)

Self-adaptation of mutation rates in non-elitist populations (2016)
Presentation / Conference Contribution
Lehre, P. K., & Dang, D.-C. (2016). Self-adaptation of mutation rates in non-elitist populations. In Parallel problem solving from nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, proceedings. https://doi.org/10.1007/978-3-319-45823-6_75

The runtime of evolutionary algorithms (EAs) depends critically on their parameter settings, which are often problem-specific. Automated schemes for parameter tuning have been developed to alleviate the high costs of manual parameter tuning. Experime... Read More about Self-adaptation of mutation rates in non-elitist populations.

Populations can be essential in tracking dynamic optima (2016)
Journal Article
Dang, D.-C., Jansen, T., & Lehre, P. K. (in press). Populations can be essential in tracking dynamic optima. Algorithmica, https://doi.org/10.1007/s00453-016-0187-y

Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evolutionary algorithms are particularly suitable for dynamic optimisatio... Read More about Populations can be essential in tracking dynamic optima.

Children And The Internet Written Evidence: UK Parliamentary Inquiry Horizon Digital Economy (2016)
Other
Koene, A., McAuley, D., Perez Vallejos, E., Portillo, V., Creswick, H., Dowthwaite, L., & Cano, M. (2016). Children And The Internet Written Evidence: UK Parliamentary Inquiry Horizon Digital Economy

Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques (2016)
Journal Article
Dupre, R., Argyriou, V., Tzimiropoulos, G., & Greenhill, D. (2016). Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques. Information Sciences, 372, https://doi.org/10.1016/j.ins.2016.08.075

In this paper, the notion of risk analysis within 3D scenes using vision based techniques is introduced. In particular the problem of risk estimation of indoor environments at the scene and object level is considered, with applications in domestic ro... Read More about Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques.

A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings (2016)
Journal Article
Özcan, E., Drake, J. H., Altıntaş, C., & Asta, S. (2016). A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings. Applied Soft Computing, 49, https://doi.org/10.1016/j.asoc.2016.07.032

Memetic algorithms are a class of well-studied metaheuristics which combine evolutionary algorithms and local search techniques. A meme represents contagious piece of information in an adaptive information sharing system. The canonical memetic algori... Read More about A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings.

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data (2016)
Journal Article
Vluymans, S., Triguero, I., Cornelis, C., & Saeys, Y. (2016). EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing, 216, https://doi.org/10.1016/j.neucom.2016.08.026

Classification problems with an imbalanced class distribution have received an increased amount of attention within the machine learning community over the last decade. They are encountered in a growing number of real-world situations and pose a chal... Read More about EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.

Privacy in public spaces: what expectations of privacy do we have in social media intelligence? (2016)
Journal Article
Edwards, L., & Urquhart, L. (2016). Privacy in public spaces: what expectations of privacy do we have in social media intelligence?. International Journal of Law and Information Technology, 24(3), 279-310. https://doi.org/10.1093/ijlit/eaw007

In this paper we give an introduction to the transition in contemporary surveillance from top down traditional police surveillance to profiling and “pre-crime” methods. We then review in more detail the rise of open source (OSINT) and social media (S... Read More about Privacy in public spaces: what expectations of privacy do we have in social media intelligence?.

Modelling cyber-security experts' decision making processes using aggregation operators (2016)
Journal Article
Miller, S., Wagner, C., Aickelin, U., & Garibaldi, J. M. (2016). Modelling cyber-security experts' decision making processes using aggregation operators. Computers and Security, 62, 229-245. https://doi.org/10.1016/j.cose.2016.08.001

An important role carried out by cyber-security experts is the assessment of proposed computer systems, during their design stage. This task is fraught with difficulties and uncertainty, making the knowledge provided by human experts essential for su... Read More about Modelling cyber-security experts' decision making processes using aggregation operators.

“We don’t sell blocks” exploring Minecraft’s commissioning market (2016)
Presentation / Conference Contribution
Koutsouras, P., Martindale, S., & Crabtree, A. (2016). “We don’t sell blocks” exploring Minecraft’s commissioning market.

In recent years, we have experienced the proliferation of videogames that have, as their main mode of play, the creation of in-game content. Even though existing literature has looked into various characteristics of these games, one of their aspects... Read More about “We don’t sell blocks” exploring Minecraft’s commissioning market.

Enabling the new economic actor: data protection, the digital economy, and the Databox (2016)
Journal Article
Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Mortier, R., & Haddadi, H. (2016). Enabling the new economic actor: data protection, the digital economy, and the Databox. Personal and Ubiquitous Computing, 20(6), 947-957. https://doi.org/10.1007/s00779-016-0939-3

© 2016, The Author(s). This paper offers a sociological perspective on data protection regulation and its relevance to design. From this perspective, proposed regulation in Europe and the USA seeks to create a new economic actor—the consumer as perso... Read More about Enabling the new economic actor: data protection, the digital economy, and the Databox.