Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Didier Meuwly"'
Autor:
Geoffrey Stewart Morrison, Daniel Ramos, Rolf JF Ypma, Nabanita Basu, Kim de Bie, Ewald Enzinger, Zeno Geradts, Didier Meuwly, David van der Vloed, Peter Vergeer, Philip Weber
Publikováno v:
Forensic Science International: Synergy, Vol 4, Iss , Pp 100230- (2022)
We agree wholeheartedly with Biedermann (2022) FSI Synergy article 100222 in its criticism of research publications that treat forensic inference in source attribution as an “identification” or “individualization” task. We disagree, however,
Externí odkaz:
https://doaj.org/article/4be7d26c528a4be5afd13f97a965da89
Publikováno v:
Data in Brief, Vol 10, Iss C, Pp 75-92 (2017)
Data to which the authors refer to throughout this article are likelihood ratios (LR) computed from the comparison of 5–12 minutiae fingermarks with fingerprints. These LRs data are used for the validation of a likelihood ratio (LR) method in foren
Externí odkaz:
https://doaj.org/article/7fee74b5767748ee9fd5982f032341f2
Autor:
Geoffrey Stewart Morrison, David van der Vloed, Cedric Neumann, S. Planting, Cuiling Zhang, Vincent Hughes, Rolf J. F. Ypma, A. Anonymous, B. Anonymous, Didier Meuwly, William C. Thompson, Ewald Enzinger, Michael Jessen
Publikováno v:
Science & Justice. 61:299-309
Since the 1960s, there have been calls for forensic voice comparison to be empirically validated under casework conditions. Since around 2000, there have been an increasing number of researchers and practitioners who conduct forensic-voice-comparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c58182d3a1e39cc08f164fa19d7df46
https://doi.org/10.1016/j.scijus.2021.02.002
https://doi.org/10.1016/j.scijus.2021.02.002
Publikováno v:
Forensic Science International. 296:57-66
© 2019 Elsevier B.V. Following the technological rise of surveillance cameras and their subsequent proliferation in public places, the use of information gathered by such means for investigative and evaluative purposes sparked a large interest in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b382dccfaeac4ee79edb199839dc77a9
https://doi.org/10.1016/j.forsciint.2019.01.007
https://doi.org/10.1016/j.forsciint.2019.01.007
Publikováno v:
Handbook of Forensic Statistics ISBN: 9780367527709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf31480d9d64b009d80a4961a331ac8b
https://doi.org/10.1201/9780367527709-7
https://doi.org/10.1201/9780367527709-7
Publikováno v:
Forensic Science International. 285:77-85
© 2018 Elsevier B.V. As a result of the worldwide deployment of surveillance cameras, authorities have gained a powerful tool that captures footage of activities of people in public areas. Surveillance cameras allow continuous monitoring of the area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddb96a2f2ea8da50ef3e7010d5f1abea
https://doi.org/10.1016/j.forsciint.2018.01.024
https://doi.org/10.1016/j.forsciint.2018.01.024
Publikováno v:
IEEE signal processing letters, 24(10):17176768, 1552-1556. IEEE
Performance estimation is crucial to the assessment of novel algorithms and systems. In detection error tradeoff (DET) diagrams, discrimination performance is solely assessed targeting one application, where cross-application performance considers ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae6bdcfcd9f4ed85811be687e4ffe72a
https://doi.org/10.1109/lsp.2017.2748899
https://doi.org/10.1109/lsp.2017.2748899
Publikováno v:
Data in Brief, Vol 10, Iss C, Pp 75-92 (2017)
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in brief, 10, 75-92. Elsevier
Data in Brief
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in brief, 10, 75-92. Elsevier
Data in Brief
Data to which the authors refer to throughout this article are likelihood ratios (LR) computed from the comparison of 5–12 minutiae fingermarks with fingerprints. These LRs data are used for the validation of a likelihood ratio (LR) method in foren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7451d46f3de35aa33e41f341305e273c
http://www.sciencedirect.com/science/article/pii/S2352340916306680
http://www.sciencedirect.com/science/article/pii/S2352340916306680
Publikováno v:
IET Biometrics. 6:61-69
This study presents a method for computing likelihood ratios (LRs) from multimodal score distributions, as the ones produced by some commercial off-the-shelf automated fingerprint identification systems (AFISs). The AFIS algorithms used to compare fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c795a1c69140b55dd9bd8e8be248b197
https://doi.org/10.1049/iet-bmt.2015.0059
https://doi.org/10.1049/iet-bmt.2015.0059
Autor:
Didier, Meuwly
Publikováno v:
Forensic Science International. 308:110067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::526079d2b5a31efefac51530fbbe35ec
https://doi.org/10.1016/j.forsciint.2019.110067
https://doi.org/10.1016/j.forsciint.2019.110067