• Annotator rationales for labeling tasks in crowdsourcing 

      Kutlu, Mucahid; McDonnell, Tyler; Elsayed, Tamer; Lease, Matthew ( Elsevier , 2020 , Article)
      When collecting item ratings from human judges, it can be difficult to measure and enforce data quality due to task subjectivity and lack of transparency into how judges make each rating decision. To address this, we ...
    • Assessing uncertainty in sighting records: An example of the Barbary lion 

      Lee, Tamsin E.; Black, Simon A.; Fellous, Amina; Yamaguchi, Nobuyuki; Angelici, Francesco M.; ... more authors ( PeerJ , 2015 , Article)
      As species become rare and approach extinction, purported sightings can be controversial, especially when scarce management resources are at stake.We consider the probability that each individual sighting of a series is ...
    • Quality Estimation for Scarce Scenarios within Mobile Crowdsensing Systems 

      Azmy, Sherif B.; Zorba, Nizar; Hassanein, Hossam S. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Mobile crowdsensing (MCS) is a paradigm that exploits the presence of a crowd of moving human participants to acquire, or generate, data from their environment. As a part of the Internet-of-Things (IoT) paradigm, MCS serves ...