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C Champod

Showing results (1-10 of 20) with videos related to

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Forensic Science International. Synergy|February 24, 2022
Probabilistic reporting and algorithms in forensic science: Stakeholder perspectives within the American criminal justice systemH Swofford, C Champod
Forensic Science International. Synergy|August 15, 2022
Machine learning algorithms in forensic science: A response to Morrison et al. (2022)H Swofford, C Champod
Science & Justice : Journal of the Forensic Science Society|April 1, 1997
Bayesian framework for the evaluation of fibre transfer evidenceC Champod, F Taroni
Forensic Science International. Synergy|March 15, 2021
Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmapH Swofford, C Champod
Journal of Medical Genetics|November 1, 1994
Forensic medicine, PCR, and Bayesian approachF Taroni, C Champod
Nanotechnology|October 2, 2014
Nanoparticles for fingermark detection: an insight into the reaction mechanismS Moret, A Bécue, C Champod
Forensic Science International|January 23, 2014
Evidence evaluation in fingerprint comparison and automated fingerprint identification systems--Modeling between finger variabilityN M Egli Anthonioz, C Champod
Forensic Science International|March 8, 2000
A statistical study of air bubbles on athletic shoesolesC Champod, R Voisard, A Girod
Science & Justice : Journal of the Forensic Science Society|July 24, 2004
Establishing the most appropriate databases for addressing source level propositionsC Champod, I W Evett, G Jackson
Science & Justice : Journal of the Forensic Science Society|September 28, 2006
An extended likelihood ratio framework for interpreting evidenceJ S Buckleton, C M Triggs, C Champod
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Forensic Science International. Synergy|February 24, 2022
Probabilistic reporting and algorithms in forensic science: Stakeholder perspectives within the American criminal justice systemH Swofford, C Champod
Forensic Science International. Synergy|August 15, 2022
Machine learning algorithms in forensic science: A response to Morrison et al. (2022)H Swofford, C Champod
Science & Justice : Journal of the Forensic Science Society|April 1, 1997
Bayesian framework for the evaluation of fibre transfer evidenceC Champod, F Taroni
Forensic Science International. Synergy|March 15, 2021
Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmapH Swofford, C Champod
Journal of Medical Genetics|November 1, 1994
Forensic medicine, PCR, and Bayesian approachF Taroni, C Champod
Nanotechnology|October 2, 2014
Nanoparticles for fingermark detection: an insight into the reaction mechanismS Moret, A Bécue, C Champod
Forensic Science International|January 23, 2014
Evidence evaluation in fingerprint comparison and automated fingerprint identification systems--Modeling between finger variabilityN M Egli Anthonioz, C Champod
Forensic Science International|March 8, 2000
A statistical study of air bubbles on athletic shoesolesC Champod, R Voisard, A Girod
Science & Justice : Journal of the Forensic Science Society|July 24, 2004
Establishing the most appropriate databases for addressing source level propositionsC Champod, I W Evett, G Jackson
Science & Justice : Journal of the Forensic Science Society|September 28, 2006
An extended likelihood ratio framework for interpreting evidenceJ S Buckleton, C M Triggs, C Champod
Pageof 2