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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Science & Justicearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Science & Justice
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Resolving differing expert opinions

Authors: Isabelle Montani; Raymond Marquis; Nicole Egli Anthonioz; Christophe Champod;

Resolving differing expert opinions

Abstract

This paper explores procedural mechanisms to resolve differing conclusions when two experts have initially worked independently. These experts can be two human examiners or one of them may be a computer-based model. The resolving process is presented as part of the ACE-V protocol adopted widely in pattern recognition areas (e.g. fingerprints, footwear marks, toolmarks or handwritings/signatures comparisons). It set the conditions of operations and delineates a resolving process that is based on the principles of transparency and detailed argumentations. We predict a gradual but steady introduction of computer-based models in the forensic pattern recognition areas. In our opinion, the rules to resolve differing opinions ought to be articulated and documented in the form of standard operating procedures, before any deployment in casework practice.

Related Organizations
Keywords

Handwriting, Negotiating, Forensic Sciences, Uncertainty, Decision Support Techniques, Pattern Recognition, Automated, Humans, Computer Simulation, Dermatoglyphics, Expert Testimony, Algorithms

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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