Project

Crowd-sourcing the aural identities of places by evolutionary optimisation

Funded by Scottish Crucible.

Total award value £2,736.00

People (1)

Dr Sandy Brownlee

Dr Sandy Brownlee

Senior Lecturer in Computing Science, 72

Outputs (2)

Conference Paper (published)

Brownlee AEI, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 131-132. https://doi.org/10.1145/3319619.3322028


Research centres/groups