Blake, Brian and Jarrett, Julian and Saleh, Iman and Malcolm, Rohan and Thorpe, Sean and Grandison, Tyrone (2014) Combining Human and Machine Computing Elements for Analysis via Crowdsourcing. In: 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.
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Abstract
Crowd computing leverages human input in order to execute tasks that are computationally expensive, due to complexity and/or scale. Combined with automation, crowd computing can help solve problems efficiently and effectively. In this work, we introduce an elasticity framework that adaptively optimi
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:16 |
| Last Modified: | 17 Apr 2026 19:57 |
| URI: | http://eprints.eai.eu/id/eprint/11780 |
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