| Activity level DNA evidence evaluation: on propositions addressing the actor or the activity B Kokshoorn, BJ Blankers, J de Zoete, CEH Berger Forensic science international 278, 115-124, 2017 | 55 | 2017 |
| A comment on the PCAST report: skip the “match”/“non-match” stage GS Morrison, DH Kaye, DJ Balding, D Taylor, P Dawid, CGG Aitken, ... Forensic Science International 272, e7-e9, 2017 | 41 | 2017 |
| The interpretation of traces found on adhesive tapes R Wieten, J De Zoete, B Blankers, B Kokshoorn Law, probability and risk 14 (4), 305-322, 2015 | 38 | 2015 |
| Modelling crime linkage with Bayesian networks J de Zoete, M Sjerps, D Lagnado, N Fenton Science & Justice 55 (3), 209-217, 2015 | 37 | 2015 |
| A probabilistic approach for the interpretation of RNA profiles as cell type evidence J de Zoete, J Curran, M Sjerps Forensic Science International: Genetics 20, 30-44, 2016 | 35 | 2016 |
| Cell type determination and association with the DNA donor J de Zoete, W Oosterman, B Kokshoorn, M Sjerps Forensic Science International: Genetics 25, 97-111, 2016 | 19 | 2016 |
| Resolving the so-called “probabilistic paradoxes in legal reasoning” with Bayesian networks J de Zoete, N Fenton, T Noguchi, D Lagnado Science & Justice 59 (4), 367-379, 2019 | 16 | 2019 |
| Modelling the dependence structure of Y-STR haplotypes using graphical models MM Andersen, J Curran, J de Zoete, D Taylor, J Buckleton Forensic Science International: Genetics 37, 29-36, 2018 | 13 | 2018 |
| Evaluating evidence in linked crimes with multiple offenders J de Zoete, M Sjerps, R Meester Science & Justice 57 (3), 228-238, 2017 | 12 | 2017 |
| From sub-source to source: Interpreting results of biological trace investigations using probabilistic models WT Oosterman, B Kokshoorn, PA Maaskant-van Wijk, J de Zoete Forensic Science International: Genetics Supplement Series 5, e590-e591, 2015 | 10 | 2015 |
| Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: Towards model generalization within and across multiple thyroid cohorts J Höhne, J de Zoete, AA Schmitz, T Bal, E di Tomaso, M Lenga MICCAI Workshop on Computational Pathology, 105-116, 2021 | 7 | 2021 |
| The combined evidential value of autosomal and Y-chromosomal DNA profiles obtained from the same sample J de Zoete, M Sjerps, R Meester, E Cator International journal of legal medicine 128, 897-904, 2014 | 7 | 2014 |
| Combining multiple pieces of evidence using a lower bound for the LR J de Zoete, M Sjerps Law, Probability and Risk 17 (2), 163-178, 2018 | 5 | 2018 |
| Combining forensic evidence JC de Zoete Universiteit van Amsterdam [Host], 2016 | 3 | 2016 |
| Corrigendum to “Modelling the dependence structure of Y-STR haplotypes using graphical models”[Forensic Sci. Int.: Genet. 37 (1)(2018) 29–36] MM Andersen, J Curran, J de Zoete, D Taylor, J Buckleton Forensic Science International: Genetics 41, e30, 2019 | 1 | 2019 |
| Categorical methods for the interpretation of RNA profiles as cell type evidence and their limitations J de Zoete, J Curran, M Sjerps Forensic Science International: Genetics Supplement Series 5, e305-e307, 2015 | 1 | 2015 |
| Het gebruik van schakelbewijs; juridische en kans-theoretische gezichtspunten J de Zoete, K Vriend, M Dolman, R Meester, M Sjerps Expertise en Recht 2014, 2014 | 1 | 2014 |
| Modeling complex legal cases as a Bayesian network using idioms and sensitivity analysis with the Collins case as a complete example NE FENTON, J DE ZOETE, D Lagnado | | 2017 |
| Automatic Generation of Bayesian networks in Forensic Science J De Zoete, N Fenton | | 2017 |
| Automatic Generation of Bayesian networks in Forensic Science NE FENTON, J DE ZOETE | | 2017 |
Marjan SjerpsNetherlands Forensic InstituteVerified email at nfi.minvenj.nl
