A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things
J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …
approach incorporating human wisdom into mobile computations to solve problems while …
Sentiment analysis via deep hybrid textual-crowd learning model
Crowdsourcing technique provides an efficient platform to employ human skills in sentiment
analysis, which is a difficult task for automatic language models due to the large variations in …
analysis, which is a difficult task for automatic language models due to the large variations in …
Robust cumulative crowdsourcing framework using new incentive payment function and joint aggregation model
In recent years, crowdsourcing has gained tremendous attention in the machine learning
community due to the increasing demand for labeled data. However, the labels collected by …
community due to the increasing demand for labeled data. However, the labels collected by …
Efficient Learning Framework for Training Deep Learning Models with Limited Supervision
KG Dizaji - 2021 - search.proquest.com
In recent years, deep learning has shown tremendous success in different applications,
however these modes mostly need a large labeled dataset for training their parameters. In …
however these modes mostly need a large labeled dataset for training their parameters. In …