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 Richard Comont

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Average citations per article1.00
Citation Count1
Publication count1
Publication years2016-2016
Available for download1
Average downloads per article396.00
Downloads (cumulative)396
Downloads (12 Months)172
Downloads (6 Weeks)21
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May 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 21,   Downloads (12 Months): 172,   Downloads (Overall): 396

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We present an incremental Bayesian model that resolves key issues of crowd size and data quality for consensus labeling. We evaluate our method using data collected from a real-world citizen science program, B ee W atch , which invites members of the public in the United Kingdom to classify (label) ...
Keywords: Crowdsourcing, consensus model, bumblebee identification, Bayesian reasoning, biological recording, citizen science

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