Faiza Khan Khattak

Learn More
Crowd-labeling emerged from the need to label large-scale and complex data, a tedious, expensive, and time-consuming task. But the problem of obtaining good quality labels from a crowd and their integration is still unresolved. To address this challenge, we propose a new framework that automatically combines and boosts bulk crowd labels supported by limited(More)
Crowd-labeling emerged from the need to label large-scale and complex data, a tedious, expensive, and time-consuming task. One of the main challenges in the crowd-labeling task is to control for or determine in advance the proportion of low-quality/malicious labelers. If that proportion grows too high, there is often a phase transition leading to a steep,(More)
  • 1