Bozza S - Search Results

1

Bayesian networks of age estimation and classification based on dental evidence: A study on the third molar mineralization.

Sironi E, Pinchi V, Pradella F, Focardi M, Bozza S, Taroni F. Sironi E, et al. Among authors: bozza s. J Forensic Leg Med. 2018 Apr;55:23-32. doi: 10.1016/j.jflm.2018.02.005. Epub 2018 Feb 9. J Forensic Leg Med. 2018. PMID: 29455020

2

Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science data.

Biedermann A, Taroni F, Bozza S. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int. 2009 Dec 15;193(1-3):63-71. doi: 10.1016/j.forsciint.2009.09.007. Epub 2009 Oct 14. Forensic Sci Int. 2009. PMID: 19833464

3

Decision analysis in forensic science.

Taroni F, Bozza S, Aitken C. Taroni F, et al. Among authors: bozza s. J Forensic Sci. 2005 Jul;50(4):894-905. J Forensic Sci. 2005. PMID: 16078494

4

Two items of evidence, no putative source: an inference problem in forensic intelligence.

Taroni F, Bozza S, Biedermann A. Taroni F, et al. Among authors: bozza s. J Forensic Sci. 2006 Nov;51(6):1350-61. doi: 10.1111/j.1556-4029.2006.00272.x. J Forensic Sci. 2006. PMID: 17199621

5

Decision theoretic properties of forensic identification: underlying logic and argumentative implications.

Biedermann A, Bozza S, Taroni F. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int. 2008 May 20;177(2-3):120-32. doi: 10.1016/j.forsciint.2007.11.008. Epub 2008 Jan 9. Forensic Sci Int. 2008. PMID: 18187279

6

Probabilistic evidential assessment of gunshot residue particle evidence (Part I): likelihood ratio calculation and case pre-assessment using Bayesian networks.

Biedermann A, Bozza S, Taroni F. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int. 2009 Oct 30;191(1-3):24-35. doi: 10.1016/j.forsciint.2009.06.004. Epub 2009 Jul 9. Forensic Sci Int. 2009. PMID: 19592185

7

Probabilistic evidential assessment of gunshot residue particle evidence (Part II): Bayesian parameter estimation for experimental count data.

Biedermann A, Bozza S, Taroni F. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int. 2011 Mar 20;206(1-3):103-10. doi: 10.1016/j.forsciint.2010.07.009. Epub 2010 Aug 4. Forensic Sci Int. 2011. PMID: 20688443

8

The use of the likelihood ratio for evaluative and investigative purposes in comparative forensic handwriting examination.

Taroni F, Marquis R, Schmittbuhl M, Biedermann A, Thiéry A, Bozza S. Taroni F, et al. Among authors: bozza s. Forensic Sci Int. 2012 Jan 10;214(1-3):189-94. doi: 10.1016/j.forsciint.2011.08.007. Epub 2011 Sep 9. Forensic Sci Int. 2012. PMID: 21907508

9

Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count method.

Biedermann A, Bozza S, Konis K, Taroni F. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int Genet. 2012 Dec;6(6):689-96. doi: 10.1016/j.fsigen.2012.03.006. Epub 2012 Apr 24. Forensic Sci Int Genet. 2012. PMID: 22534257

10

Decision-theoretic analysis of forensic sampling criteria using bayesian decision networks.

Biedermann A, Bozza S, Garbolino P, Taroni F. Biedermann A, et al. Among authors: bozza s. Forensic Sci Int. 2012 Nov 30;223(1-3):217-27. doi: 10.1016/j.forsciint.2012.09.003. Epub 2012 Sep 30. Forensic Sci Int. 2012. PMID: 23031501

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