CrowdOS: A ubiquitous operating system for crowdsourcing and mobile crowd sensing
With the rise of crowdsourcing and mobile crowdsensing techniques, a large number of
crowdsourcing applications or platforms () have appeared. In the mean time,-related models …
crowdsourcing applications or platforms () have appeared. In the mean time,-related models …
Exploring Stigmergic Collaboration and Task Modularity through an Expert Crowdsourcing Annotation System: The Case of Storm Phenomena in the Euro-Atlantic …
Extreme weather events, such as windstorms, hurricanes, and heat waves, exert a
significant impact on global natural catastrophes and pose substantial challenges for …
significant impact on global natural catastrophes and pose substantial challenges for …
Development of a crowd-powered system architecture for knowledge discovery in scientific domains
A substantial amount of work is often overlooked due to the exponential rate of growth in
global scientific output across all disciplines. Current approaches for addressing this issue …
global scientific output across all disciplines. Current approaches for addressing this issue …
Theoretical underpinnings and practical challenges of crowdsourcing as a mechanism for academic study
Researchers in a variety of fields are increasingly adopting crowdsourcing as a reliable
instrument for performing tasks that are either complex for humans and computer algorithms …
instrument for performing tasks that are either complex for humans and computer algorithms …
Stigmergy in Crowdsourcing and Task Fingerprinting: Study on Behavioral Traces of Weather Experts in Interaction Logs
When crowd workers provide their contributions in a shared working environment, they may
be influenced by the inputs of other contributors in implicit ways. Stigmergy in crowdsourcing …
be influenced by the inputs of other contributors in implicit ways. Stigmergy in crowdsourcing …
A crowdsourcing-based medical image classification method
S He, H Pan, S Zhao, C Chen… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The main task of medical image mining is to effectively analyze medical image data. Medical
image classification algorithms have a high error rate near the threshold. To address the …
image classification algorithms have a high error rate near the threshold. To address the …