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Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information
dc.contributor.author | Tang, Mengzi | |
dc.contributor.author | Pérez Fernández, Raúl | |
dc.contributor.author | Baets, Bernard de | |
dc.date.accessioned | 2021-01-27T10:20:34Z | |
dc.date.available | 2021-01-27T10:20:34Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Information Fusion, 65, p. 72-83 (2021); doi:10.1016/j.inffus.2020.08.004 | |
dc.identifier.issn | 1566-2535 | |
dc.identifier.uri | http://hdl.handle.net/10651/57642 | |
dc.format.extent | p. 72-83 | |
dc.language.iso | eng | |
dc.relation.ispartof | Information Fusion | |
dc.rights | © 2020 Elsevier B.V. | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089663687&doi=10.1016%2fj.inffus.2020.08.004&partnerID=40&md5=c270744ebb023de8ed8e33795f660470 | |
dc.title | Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.inffus.2020.08.004 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.inffus.2020.08.004 |
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