Machine learning enthusiasts should stick to the facts: Response to Morrison et al. (2022)
Details
State: Public
Version: Author's accepted manuscript
License: Not specified
Secondary document(s)
Download: Biedermann_2022b.pdf (241.31 [Ko])
State: Public
Version: Final published version
License: Not specified
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_C83C49353482
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Machine learning enthusiasts should stick to the facts: Response to Morrison et al. (2022)
Journal
Forensic Science International: Synergy
ISSN
2589-871X
Publication state
Published
Issued date
10/05/2022
Peer-reviewed
Oui
Volume
4
Pages
100229
Language
english
Abstract
This letter to the editor is a response to the commentary by Morrison et al. (2022).
Open Access
Yes
Create date
07/05/2022 8:00
Last modification date
21/11/2022 8:26
Usage data
