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dc.contributor.authorWang, Len_US
dc.contributor.authorGjoreski, Hen_US
dc.contributor.authorCiliberto, Men_US
dc.contributor.authorLago, Pen_US
dc.contributor.authorMurao, Ken_US
dc.contributor.authorOkita, Ten_US
dc.contributor.authorRoggen, Den_US
dc.contributor.authorMachinery, ACen_US
dc.date.accessioned2019-09-20T10:32:59Z
dc.date.available2019-07-05en_US
dc.date.issued2019en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/59770
dc.format.extent849 - 856en_US
dc.subjectActivity recognitionen_US
dc.subjectDeep learningen_US
dc.subjectMachine learningen_US
dc.subjectMobile sensingen_US
dc.subjectTransportation mode recognitionen_US
dc.titleSummary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge 2019en_US
dc.typeConference Proceeding
dc.rights.holder© 2018 The Author(s)
dc.identifier.doi10.1145/3341162.3344872en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000501543800185&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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