Talking probabilities: communicating probabilistic information with words and numbers S Renooij, CLM Witteman International Journal of Approximate Reasoning 22, 169 – 194, 1999 | 237 | 1999 |
Probability elicitation for belief networks: issues to consider S Renooij The Knowledge Engineering Review 16 (3), 255, 2001 | 208 | 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 | 207 | 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 | 170* | 1999 |
Evaluation of a verbal–numerical probability scale C Witteman, S Renooij International Journal of Approximate Reasoning 33 (2), 117-131, 2003 | 87 | 2003 |
Sensitivity analysis of probabilistic networks LC Van der Gaag, S Renooij, VMH Coupé Advances in probabilistic graphical models, 103-124, 2007 | 61 | 2007 |
Analysing sensitivity data from probabilistic networks LC van der Gaag, S Renooij Proceedings of the Seventeenth Conference on Uncertainty in Artificial …, 2001 | 61* | 2001 |
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 | 60 | 2016 |
Qualitative approaches to quantifying probabilistic networks S Renooij Utrecht University, 2001 | 57 | 2001 |
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 | 56 | 2017 |
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 | 56 | 2014 |
From qualitative to quantitative probabilistic networks S Renooij, LC van der Gaag Proceedings of the Eighteenth Conference on Uncertainty in Artificial …, 2002 | 54* | 2002 |
Context-specific sign-propagation in qualitative probabilistic networks S Renooij, LC Van der Gaag, S Parsons Artificial Intelligence 140, 207-230, 2002 | 52 | 2002 |
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 | 49 | 2016 |
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 | 39 | 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 | 31 | 2007 |
A structure-guided approach to capturing Bayesian reasoning about legal evidence in argumentation ST Timmer, JJC Meyer, H Prakken, S Renooij, B Verheij Proceedings of the 15th International Conference on Artificial Intelligence …, 2015 | 28 | 2015 |