Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138094
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dc.contributor.authorLiu, Howard Jianlingen_US
dc.date.accessioned2020-04-24T02:47:36Z-
dc.date.available2020-04-24T02:47:36Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/138094-
dc.description.abstractThe purpose of this project is to implement explainability features for Algocrowd, an AI-empowered dynamic crowdsourcing platform.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE19-0361en_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleFair and explainable AI empowered crowdsourcingen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYu Hanen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailhan.yu@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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