Do all roads lead to Rome? Studying distance measures in the context of machine learning
| dc.contributor.author | Blanco Mallo, E. | |
| dc.contributor.author | Morán Fernández, L. | |
| dc.contributor.author | Remeseiro López, Beatriz | |
| dc.contributor.author | Bolón Canedo, V. | |
| dc.date.accessioned | 2023-10-25T08:55:08Z | |
| dc.date.available | 2023-10-25T08:55:08Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Pattern Recognition, 141 (2023); doi:10.1016/j.patcog.2023.109646 | |
| dc.identifier.issn | 0031-3203 | |
| dc.identifier.uri | https://hdl.handle.net/10651/69967 | |
| dc.description.sponsorship | This work has been supported by the National Plan for Scientific and Technical Research and Innovation of the Spanish Government (Grant PID2019-109238GB, subprojects C21 and C22), by the Spanish Ministry of Science and Innovation (Grant FPI PRE2020-092608), and by the Xunta de Galicia (Grant ED431C 2022/44) with the European Union ERDF funds. CITIC, as Research Center accredited by Galician University System, is funded by “Consellería de Cultura, Educación e Universidades from Xunta de Gali- cia”, supported in an 80% through ERDF Funds, ERDF Operational Programme Galicia 2014-2020, and the remaining 20% by “Secretaría Xeral de Universidades” (Grant ED431G 2019/01). | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Pattern Recognition | |
| dc.rights | © 2023 The Authors. | |
| dc.rights | CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158888609&doi=10.1016%2fj.patcog.2023.109646&partnerID=40&md5=81a1d7417de0477ea7bd7a191d574846 | |
| dc.title | Do all roads lead to Rome? Studying distance measures in the context of machine learning | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.patcog.2023.109646 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109238GB-C21/ES/SISTEMAS DE RECOMENDACION EXPLICABLES/ | |
| dc.relation.projectID | PRE2020-092608 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109238GB-C22/ES/APRENDIZAJE AUTOMATICO ESCALABLE Y EXPLICABLE/ | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.patcog.2023.109646 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | VoR |
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