A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) “identification” claims in forensic literature

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, with its criticism of the use of machine learning for fore...

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Detalles Bibliográficos
Autores principales: Morrison, Geoffrey Stewart, Ramos, Daniel, Ypma, Rolf JF, Basu, Nabanita, de Bie, Kim, Enzinger, Ewald, Geradts, Zeno, Meuwly, Didier, van der Vloed, David, Vergeer, Peter, Weber, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspectives and Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136356/
https://www.ncbi.nlm.nih.gov/pubmed/35647509
http://dx.doi.org/10.1016/j.fsisyn.2022.100230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136356/
https://www.ncbi.nlm.nih.gov/pubmed/35647509
http://dx.doi.org/10.1016/j.fsisyn.2022.100230

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