Machine learning algorithms in forensic science: A response to Morrison et al. (2022)

Details

Ressource 1Download: Swofford & Champod - response to Morrisson 2022.pdf (299.21 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_AB52A0ED8AF0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Machine learning algorithms in forensic science: A response to Morrison et al. (2022)
Journal
Forensic Science International: Synergy
Author(s)
Swofford H., Champod C.
ISSN
2589-871X
Publication state
Published
Issued date
2022
Volume
5
Pages
100277
Language
english
Keywords
Law, Pathology and Forensic Medicine
URN
urn:nbn:ch:serval-BIB_AB52A0ED8AF05
OAI-PMH
oai:serval.unil.ch:BIB_AB52A0ED8AF0
DOI
10.1016/j.fsisyn.2022.100277
Open Access
Yes
Funding(s)
University of Lausanne
Create date
09/08/2022 12:46
Last modification date
10/08/2022 6:12
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