The mitigation of pandemics like that caused by the current COVID-19 virus is largely
dependent on voluntary public adherence to government rules and regulations. Recent …

During the past decade of the big data era, mobile crowdsourcing has emerged as a popular
research area, leveraging the collective intelligence and engagement of a vast number of …

Traditional truth inference algorithms take multiple source labels as input and infer true
labels for objects. Besides source labels, object features have been introduced in inference …

Objectives This research examined whether people's causal explanations of depression
were associated with acceptability and efficacy‐related treatment perceptions and likelihood …

Due to the presence of noise in crowdsourced labels, label aggregation (LA) has become a
standard procedure for post-processing these labels. LA methods estimate true labels from …

Sex offender registries (SORs) have been established in both Canada and the United States
with the auspice of protecting the community from dangerous and violent sexual predators …

This paper presents VocalTurk, a feasibility study of crowdsourced speaker identification
based on our worker dataset collected in Amazon Mechanical Turk. Crowdsourced data …

This paper aims to explore the relationship between the at-fault drivers involved in traffic
accidents and their history of traffic violation records as a function of drivers' behavior. The …

In the context of the debate on the need to place citizens at the center of the technological
revolution, this paper makes a case for a natural language processing (NLP) crowdsourcing …

Hardly any other innovation has the potential to change our traffic systems as profoundly
and dramatically as autonomous vehicles. In this context, the potentials of shared …