| Talking probabilities: communicating probabilistic information with words and numbers S Renooij, CLM Witteman International Journal of Approximate Reasoning 22, 169 – 194, 1999 | 231 | 1999 |
| Probability elicitation for belief networks: issues to consider S Renooij The Knowledge Engineering Review 16 (3), 255, 2001 | 205 | 2001 |
| Probabilities for a probabilistic network: a case study in oesophageal cancer LC Van der Gaag, S Renooij, CLM Witteman, BMP Aleman, BG Taal Artificial Intelligence in medicine 25 (2), 123-148, 2002 | 197 | 2002 |
| How to elicit many probabilities LC van der Gaag, S Renooij, CLM Witteman, BMP Aleman Fifteenth Conference on Uncertainty in Artificial Intelligence, 647 – 654, 1999 | 167* | 1999 |
| Evaluation of a verbal–numerical probability scale C Witteman, S Renooij International Journal of Approximate Reasoning 33 (2), 117-131, 2003 | 82 | 2003 |
| A two-phase method for extracting explanatory arguments from Bayesian networks ST Timmer, JJC Meyer, H Prakken, S Renooij, B Verheij International Journal of Approximate Reasoning 80, 475-494, 2017 | 73* | 2017 |
| A method for explaining Bayesian networks for legal evidence with scenarios CS Vlek, H Prakken, S Renooij, B Verheij Artificial Intelligence and Law 24 (3), 285-324, 2016 | 64* | 2016 |
| Building Bayesian networks for legal evidence with narratives: a case study evaluation CS Vlek, H Prakken, S Renooij, B Verheij Artificial intelligence and law 22 (4), 375-421, 2014 | 62* | 2014 |
| Sensitivity analysis of probabilistic networks LC Van Der Gaag, S Renooij, VMH Coupé Advances in probabilistic graphical models, 103-124, 2007 | 59 | 2007 |
| Arguments, scenarios and probabilities: connections between three normative frameworks for evidential reasoning B Verheij, F Bex, ST Timmer, CS Vlek, JJC Meyer, S Renooij, H Prakken Law, Probability and Risk 15 (1), 35-70, 2016 | 58 | 2016 |
| Analysing sensitivity data from probabilistic networks LC van der Gaag, S Renooij arXiv preprint arXiv:1301.2314, 2013 | 58 | 2013 |
| Qualitative approaches to quantifying probabilistic networks S Renooij Utrecht University, 2001 | 57 | 2001 |
| From qualitative to quantitative probabilistic networks S Renooij, LC van der Gaag arXiv preprint arXiv:1301.0596, 2012 | 56 | 2012 |
| Context-specific sign-propagation in qualitative probabilistic networks S Renooij, LC Van der Gaag, S Parsons Artificial Intelligence 140, 207-230, 2002 | 52 | 2002 |
| Modeling crime scenarios in a Bayesian network C Vlek, H Prakken, S Renooij, B Verheij Proceedings of the Fourteenth International Conference on Artificial …, 2013 | 40 | 2013 |
| Reconstructing causal reasoning about evidence: a case study H Prakken, S Renooij Legal knowledge and information systems. JURIX, 131-142, 2001 | 38 | 2001 |
| Enhancing QPNs for trade-off resolution S Renooij, LC van der Gaag Fifteenth Conference on Uncertainty in Artificial Intelligence, 559 – 566, 1999 | 38* | 1999 |
| Enhanced qualitative probabilistic networks for resolving trade-offs S Renooij, LC Van Der Gaag Artificial Intelligence 172 (12-13), 1470-1494, 2008 | 34 | 2008 |
| Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales CLM Witteman, S Renooij, P Koele BMC Medical Informatics and Decision Making 7 (1), 1-8, 2007 | 32 | 2007 |
| Introducing situational signs in qualitative probabilistic networks JH Bolt, LC van der Gaag, S Renooij International journal of approximate reasoning 38 (3), 333-354, 2005 | 28* | 2005 |
Henry PrakkenDepartment of Information and Computing Sciences, Faculty of Science, Utrecht University & FacultyGeverifieerd e-mailadres voor cs.uu.nl
