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Deep Bayesian Self-Training

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dc.contributor.authorRibeiro, Fabio De Sousa
dc.contributor.authorCalivá, Francesco
dc.contributor.authorSwainson, Mark
dc.contributor.authorGudmundsson, Kjartan
dc.contributor.authorLeontidis, Georgios
dc.contributor.authorKollias, Stefanos
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2020-06-10T10:10:03Z
dc.date.available2020-06-10T10:10:03Z
dc.date.issued2020-05
dc.descriptionAcknowledgements The authors would like to thank Mr. George Marandianos, Mrs. Mamatha Thota and Mr. Samuel Bond-Taylor for manually annotating datasets used in this study and of course the reviewers for their constructive feedback that helped to improve the manuscript. We would also like to thank Professor Luc Bidaut for enabling this collaboration. Funding The research presented in this paper was funded by Engineering and Physical Sciences Research Council (Reference Number EP/R005524/1) and Innovate UK (Reference Number 102908), in collaboration with the Olympus Automation Limited Company, for the project Automated Robotic Food Manufacturing System.en
dc.description.statusPeer revieweden
dc.format.extent17
dc.format.extent1287179
dc.identifier158424258
dc.identifierd20f9786-5b02-4860-a764-b993cb131ec5
dc.identifier85069661389
dc.identifier000527419900011
dc.identifier.citationRibeiro, F D S, Calivá, F, Swainson, M, Gudmundsson, K, Leontidis, G & Kollias, S 2020, 'Deep Bayesian Self-Training', Neural Computing and Applications, vol. 32, pp. 4275-4291. https://doi.org/10.1007/s00521-019-04332-4en
dc.identifier.doi10.1007/s00521-019-04332-4
dc.identifier.issn0941-0643
dc.identifier.otherORCID: /0000-0001-6671-5568/work/59336811
dc.identifier.urihttps://hdl.handle.net/2164/14476
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85069661389&partnerID=8YFLogxKen
dc.identifier.vol32en
dc.language.isoeng
dc.relation.ispartofNeural Computing and Applicationsen
dc.subjectMachine Learningen
dc.subjectDeep Learningen
dc.subjectDeep learningen
dc.subjectRepresentation learningen
dc.subjectBayesian CNNen
dc.subjectVariational inferenceen
dc.subjectClusteringen
dc.subjectSelf-trainingen
dc.subjectAdaptationen
dc.subjectUncertainty weightingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSoftwareen
dc.subjectArtificial Intelligenceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/R005524/1en
dc.subjectInnovate UKen
dc.subject102908en
dc.subject.lccQA75en
dc.titleDeep Bayesian Self-Trainingen
dc.typeJournal articleen

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