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Forensic Science International|February 18, 2021
Predicting suitability of finger marks using machine learning techniques and examiner annotationsHeidi Eldridge, Marco De Donno, Christophe ChampodForensic Science International|December 19, 2020
Mind-set - How bias leads to errors in friction ridge comparisonsHeidi Eldridge, Marco De Donno, Christophe ChampodForensic Science International|November 26, 2020
Testing the accuracy and reliability of palmar friction ridge comparisons - A black box studyHeidi Eldridge, Marco De Donno, Christophe ChampodForensic Science International. Synergy|January 1, 2021
Interpol review of fingermarks and other body impressions 2016-2019Andy Bécue, Heidi Eldridge, Christophe ChampodForensic Science International|July 31, 2020
Examining and expanding the friction ridge value decisionHeidi Eldridge, Marco DeDonno, Julien Furrer, et al.Forensic Science International|March 7, 2020
Occurrence and associative value of non-identifiable fingermarksDavid A Stoney, Marco De Donno, Christophe Champod, et al.Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|June 24, 2015
Fingerprint identification: advances since the 2009 National Research Council reportChristophe ChampodForensic Science International|August 1, 2006
The potential (negative) influence of observational biases at the analysis stage of fingermark individualisationBeatrice Schiffer, Christophe ChampodForensic Science International|July 3, 2010
Risk evaluation for spoofing against a sensor supplied with liveness detectionMarcela Espinoza, Christophe ChampodForensic Science International|January 14, 2020
Automated face recognition in forensic science: Review and perspectivesMaëlig Jacquet, Christophe ChampodPageof 8