• ε-shotgun: ε-greedy batch Bayesian optimisation 

  De Ath, G; Everson, RM; Fieldsend, J; et al. (Association for Computing Machinery (ACM), 8 July 2020)

  Bayesian optimisation is a popular, surrogate model-based approach for optimising expensive black-box functions. Given a surrogate model, the next location to expensively evaluate is chosen via maximisation of a cheap-to-query ...

• Optimisation of Signal Timings in a Road Network 

  Nallaperuma, S; Jalili, S; Keedwell, E; et al. (Springer, 22 February 2020)

  Road network simulation models and tools are increasingly being used for strategic and operational traffic management with the use of widely available online traffic data. The widespread use of such models raises the ...

• A Data-Driven Framework for Monitoring and Improving Organ Donation Awareness among Minorities Using Optimal Social Network Intervention 

  Pinheiro, D; Murphy, M; Iyengar, R; et al. (Elsevier for International Society for Heart and Lung Transplantation, 15 March 2019)

• Weighted multi-resource minority games 

  Seyednezhad, SMM; Shinseki, E; Romero, D; et al. (Springer Verlag, 31 December 2017)

  Game theory and its application in multi-agent systems continues to attract a considerable number of scientists and researchers around the globe. Moreover, the need for distributed resource allocation is increasing at a ...

• The scaling of crime concentration in cities 

  Oliveira, M; Bastos-Filho, C; Menezes, R (Public Library of Science, 11 August 2017)

  Crime is a major threat to society’s well-being but lacks a statistical characterization that could lead to uncovering some of its underlying mechanisms. Evidence of nonlinear scaling of urban indicators in cities, such ...

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