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dc.contributor.authorMartínez-Moreno, Práxedes
dc.contributor.authorValsecchi, Andrea
dc.contributor.authorMesejo, Pablo
dc.contributor.authorIbáñez, Oscar
dc.contributor.authorDamas, Sergio
dc.date.accessioned2024-07-15T11:19:04Z
dc.date.available2024-07-15T11:19:04Z
dc.date.issued2024-11
dc.identifier.citationP. Martínez-Moreno, A. Valsecchi, P. Mesejo, Ó. Ibáñez, and S. Damas, "Evidence evaluation in craniofacial superimposition using likelihood ratios", Information Fusion, Vol. 111, Nov. 2024, article 102489, doi: 10.1016/j.inffus.2024.102489es_ES
dc.identifier.urihttp://hdl.handle.net/2183/38002
dc.descriptionFinanciado para publicación en acceso aberto: Universidad de Granada / CBUAes_ES
dc.description.abstract[Abstract]: Craniofacial Superimposition is a forensic identification technique that supports decision-making when skeletal remains are involved. It is based on the analysis of the overlapping of a post-mortem skull with ante-mortem facial photographs. Despite its importance and wide applicability, the process remains complex and challenging. To address this, computerized methods have been proposed, but subjectivity and qualitative reporting persist in decision-making. This study introduces an evidence evaluation system proposal based on Likelihood Ratios, previously used in other forensic fields, such as DNA, voice, fingerprint, and facial comparison. We present a novel application of this framework to Craniofacial Superimposition. Our work comprises three experiments in which our LR system is trained and tested under distinct conditions concerning facial images: the first utilizes frontal facial photographs; the second employs lateral facial photographs; and the last one integrates both frontal and lateral facial photographs. In the three experiments, the proposed LR system stands out in terms of calibration and discriminating power, providing practitioners with a quantitative tool for evidence evaluation and integration. However, the lack of massive actual data obliged us to focus our study on synthetic data only. Therefore, it should be considered a proof of concept. Nevertheless, the resulting likelihood-ratio system offers objective decision support in Craniofacial Superimposition. Further studies are required to validate in a real scenario the conclusions achieved.es_ES
dc.description.sponsorshipThis research has been developed within the R&D project CONFIA (grant PID2021-122916NB-I00), funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU, and by grant FORAGE (B-TIC-456-UGR20) funded by Consejería de Universidad, Investigación e Innovación, both funded by “ERDF A way of making Europe”. Miss Martínez-Moreno is supported by grant PRE2022-102029 funded by MICIU/AEI/10.13039/501100011033 and the FSE+. Dr. Valsecchi's work is supported by Red.es under grant Skeleton-ID2.0 (2021/C005/00141299). Dr. Ibáñez's work is funded by the Spanish Ministry of Science, Innovation and Universities under grant RYC2020-029454-I and by Xunta de Galicia, Spain by grant ED431F 2022/21. The authors thank Pierre Guyomarc’h for providing us with the data used in this research. Funding for open access charge: Universidad de Granada / CBUA.es_ES
dc.description.sponsorshipXunta de Galicia; ED431F 2022/21es_ES
dc.description.sponsorshipJunta de Andalucía; B-TIC-456-UGR20es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122916NB-I00/ES/INTELIGENCIA ARTIFICIAL EXPLICABLE PARA TOMA DE DECISIONES CONFIABLESes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PRE2022-102029/ES/es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RYC2020-029454-I/ES/es_ES
dc.relation.urihttps://doi.org/10.1016/j.inffus.2024.102489es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSkeleton-based forensic human identificationes_ES
dc.subjectCraniofacial superimpositiones_ES
dc.subjectLikelihood ratioes_ES
dc.subjectDecision support systemes_ES
dc.titleEvidence evaluation in craniofacial superimposition using likelihood ratioses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleInformation Fusiones_ES
UDC.volume111es_ES
dc.identifier.doi10.1016/j.inffus.2024.102489


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