Background: Reliable and valid assessments of the visual endpoints of aesthetic surgery
procedures are needed. Currently, most assessments are based on the opinion of patients …

Success of many machine learning and offline measurement efforts is highly dependent on
the quality of labeled data that they use. Development of supervised machine learning …

Large-scale computer platforms that process users' online requests must be capable of
handling unexpected spikes in arrival rates. These platforms, which are composed of …

In this paper, we contend that the conventional approach to training and evaluating machine
learning models frequently overlooks their application within the real-world organizational or …

Sažetak As social networking has spread, people started sharing their personal opinions
and thoughts widely via these online platforms. The resulting vast valuable data represent a …

In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence
for the problem of document screening, where we need to screen documents with a set of …