Silja Renooij
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Talking probabilities: communicating probabilistic information with words and numbers
S Renooij, CLM Witteman
International Journal of Approximate Reasoning 22, 169 – 194, 1999
2161999
Probability elicitation for belief networks: issues to consider
S Renooij
The Knowledge Engineering Review 16 (3), 255-269, 2001
1972001
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
1912002
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
161*1999
Evaluation of a verbal–numerical probability scale
C Witteman, S Renooij
International Journal of Approximate Reasoning 33 (2), 117-131, 2003
792003
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
63*2017
Sensitivity analysis of probabilistic networks
LC Van Der Gaag, S Renooij, VMH Coupé
Advances in probabilistic graphical models, 103-124, 2007
592007
Qualitative approaches to quantifying probabilistic networks
S Renooij
Utrecht University, 2001
562001
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
55*2014
Analysing sensitivity data from probabilistic networks
LC van der Gaag, S Renooij
arXiv preprint arXiv:1301.2314, 2013
552013
From qualitative to quantitative probabilistic networks
S Renooij, LC van der Gaag
arXiv preprint arXiv:1301.0596, 2012
522012
Context-specific sign-propagation in qualitative probabilistic networks
S Renooij, LC Van der Gaag, S Parsons
Artificial Intelligence 140, 207-230, 2002
522002
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
512016
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
47*2016
Reconstructing causal reasoning about evidence: a case study
H Prakken, S Renooij
Legal knowledge and information systems. JURIX, 131-142, 2001
382001
Enhancing QPNs for trade-off resolution
S Renooij, LC van der Gaag
Fifteenth Conference on Uncertainty in Artificial Intelligence, 559 – 566, 1999
38*1999
Modeling crime scenarios in a Bayesian network
C Vlek, H Prakken, S Renooij, B Verheij
Proceedings of the Fourteenth International Conference on Artificial …, 2013
372013
Enhanced qualitative probabilistic networks for resolving trade-offs
S Renooij, LC Van Der Gaag
Artificial Intelligence 172 (12-13), 1470-1494, 2008
332008
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), 13, 2007
292007
Inference in qualitative probabilistic networks revisited
F van Kouwen, S Renooij, P Schot
International journal of approximate reasoning 50 (5), 708-720, 2009
272009
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Artikelen 1–20