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Didier Meuwly
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2020 – today
- 2024
- [c10]Didier Meuwly:
Development and validation of an automatic approach addressing the forensic question of identity of source - the contribution of the speaker recognition field. Odyssey 2024
2010 – 2019
- 2018
- [c9]Chris G. Zeinstra, Didier Meuwly
, Raymond N. J. Veldhuis, Luuk J. Spreeuwers
Mind the Gap: A Practical Framework for Classifiers in a Forensic Context. BTAS 2018: 1-9 - 2017
- [j5]Rudolf Haraksim, Daniel Ramos, Didier Meuwly
Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions. IET Biom. 6(2): 61-69 (2017) - [j4]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers
ForenFace: a unique annotated forensic facial image dataset and toolset. IET Biom. 6(6): 487-494 (2017) - [j3]Andreas Nautsch
Making Likelihood Ratios Digestible for Cross-Application Performance Assessment. IEEE Signal Process. Lett. 24(10): 1552-1556 (2017) - [p2]Davide Maltoni, Raffaele Cappelli, Didier Meuwly
Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks. Handbook of Biometrics for Forensic Science 2017: 37-61 - [p1]Daniel Ramos, Ram P. Krish, Julian Fiérrez, Didier Meuwly
From Biometric Scores to Forensic Likelihood Ratios. Handbook of Biometrics for Forensic Science 2017: 305-327 - 2016
- [c8]Filipe Guapo, Paulo L. Correia
Empirical validation of likelihood ratio methods - A case study in forensic speaker recognition. IWBF 2016: 1-5 - 2015
- [r2]Didier Meuwly:
Forensic Use of Fingerprints and Fingermarks. Encyclopedia of Biometrics 2015: 723-735 - 2014
- [j2]Tauseef Ali, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Didier Meuwly
Biometric evidence evaluation: an empirical assessment of the effect of different training data. IET Biom. 3(4): 335-346 (2014) - [c7]Massimo Tistarelli
Biometrics in Forensic Science: Challenges, Lessons and New Technologies. BIOMET 2014: 153-164 - 2013
- [c6]Rudolf Haraksim, Didier Meuwly, Gina Doekhie, Peter Vergeer, Marjan Sjerps:
Assignment of the evidential value of a fingermark general pattern using a Bayesian Network. BIOSIG 2013: 99-110 - [c5]Tauseef Ali, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Didier Meuwly
Effect of calibration data on forensic likelihood ratio from a face recognition system. BTAS 2013: 1-8 - 2012
- [c4]Didier Meuwly, Raymond N. J. Veldhuis:
Forensic biometrics: From two communities to one discipline. BIOSIG 2012: 1-12
2000 – 2009
- 2009
- [r1]Didier Meuwly:
Fingerprint, Forensic Evidence of. Encyclopedia of Biometrics 2009: 528-535 - 2004
- [c3]Didier Meuwly:
Forensic speaker recognition: an evidence odyssey. Odyssey 2004: 11-12 - 2003
- [c2]Andrzej Drygajlo, Didier Meuwly, Anil Alexander:
Statistical methods and Bayesian interpretation of evidence in forensic automatic speaker recognition. INTERSPEECH 2003: 689-692 - 2001
- [c1]Didier Meuwly, Andrzej Drygajlo:
Forensic speaker recognition based on a Bayesian framework and Gaussian mixture modelling (GMM). Odyssey 2001: 145-150 - 2000
- [j1]Christophe Champod
The inference of identity in forensic speaker recognition. Speech Commun. 31(2-3): 193-203 (2000)
Coauthor Index
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