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Machine learning based detection of Kepler objects of interest
Item metadata
dc.contributor.author | Nigri, Eduardo | |
dc.contributor.author | Arandelovic, Ognjen | |
dc.date.accessioned | 2017-09-14T11:30:11Z | |
dc.date.available | 2017-09-14T11:30:11Z | |
dc.date.issued | 2017-07-10 | |
dc.identifier | 251070783 | |
dc.identifier | b06d3706-7fb1-4eef-a191-8a2f507004b7 | |
dc.identifier.citation | Nigri , E & Arandelovic , O 2017 , ' Machine learning based detection of Kepler objects of interest ' , Paper presented at 5th International Workshop On Emerging Multimedia Systems And Applications , Hong Kong , China , 10/07/17 . | en |
dc.identifier.citation | workshop | en |
dc.identifier.uri | https://hdl.handle.net/10023/11659 | |
dc.description | The authors would like to thank CNPq-Brazil and the University of St Andrews for their kind support | en |
dc.format.extent | 717097 | |
dc.language.iso | eng | |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | QB Astronomy | en |
dc.subject | QC Physics | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | QB | en |
dc.subject.lcc | QC | en |
dc.title | Machine learning based detection of Kepler objects of interest | en |
dc.type | Conference paper | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.description.status | Peer reviewed | en |
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