Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/6317
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dr. YUEN Man-Ching, Connie | en_US |
dc.date.accessioned | 2021-02-19T08:18:14Z | - |
dc.date.available | 2021-02-19T08:18:14Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Annals of Biostatistics & Biometric Applications, Nov. 2018, vol. 1(1). | en_US |
dc.identifier.issn | 2641-6336 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/6317 | - |
dc.description.abstract | Human computation is a technique that utilizes human abilities to perform computation tasks that are difficult for computers to process. Since the concept of human computation was introduced in 2003, many applications have been developed and the output data collected in these applications is very useful for many artificial intelligent applications. In this paper, we categorize existing human computation applications and present their major objectives. This paper gives a better understanding on how human contribute to AI applications. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Annals of Biostatistics & Biometric Applications | en_US |
dc.title | A study of human computation applications | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.33552/ABBA.2018.01.000504 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Journalism & Communication - Publication |
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