dc.contributor.author | Aguilar, E. | |
dc.contributor.author | Nagarajan, B. | |
dc.contributor.author | Remeseiro López, Beatriz | |
dc.contributor.author | Radeva, P. | |
dc.date.accessioned | 2023-03-02T09:30:08Z | |
dc.date.available | 2023-03-02T09:30:08Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Computers and Electrical Engineering, 103 (2022); doi:10.1016/j.compeleceng.2022.108380 | |
dc.identifier.issn | 0045-7906 | |
dc.identifier.uri | http://hdl.handle.net/10651/66714 | |
dc.description.sponsorship | This work was partially funded by 20211005001-VRIDT-UCN, TIN2018-095232-B-C21, PID2019-109238GB-C21, Measurer EIT
Digital, Logmeal4Shape, and CERCA Programme/Generalitat de Catalunya, Spain. B. Nagarajan acknowledges the support of FPI
Becas, MICINN, Spain. | |
dc.language.iso | eng | |
dc.relation.ispartof | Computers and electrical engineering | |
dc.rights | © 2022 Elsevier Ltd. | |
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-s2.0-85138088096&doi=10.1016%2fj.compeleceng.2022.108380&partnerID=40&md5=a2031afffd3599299783dc126ac20699 | |
dc.title | Bayesian deep learning for semantic segmentation of food images | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.compeleceng.2022.108380 | |
dc.relation.projectID | TIN2018-095232-B-C21 | |
dc.relation.projectID | PID2019-109238GB-C21 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.compeleceng.2022.108380 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM | |