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Silja Renooij
Silja Renooij
Department of Information and Computing Sciences, Universiteit Utrecht
Dirección de correo verificada de uu.nl - Página principal
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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
2911999
Probability elicitation for belief networks: issues to consider
S Renooij
The Knowledge Engineering Review 16 (3), 255-269, 2001
2602001
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
2352002
How to elicit many probabilities
LC van der Gaag, S Renooij, CLM Witteman, BMP Aleman, BG Taal
Fifteenth Conference on Uncertainty in Artificial Intelligence, 647 – 654, 1999
205*1999
Evaluation of a verbal–numerical probability scale
C Witteman, S Renooij
International Journal of Approximate Reasoning 33 (2), 117-131, 2003
1052003
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
1002016
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
912017
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
882016
Sensitivity analysis of probabilistic networks
LC Van der Gaag, S Renooij, VMH Coupé
Advances in probabilistic graphical models, 103-124, 2007
772007
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
762014
Analysing sensitivity data from probabilistic networks
LC van der Gaag, S Renooij
Proceedings of the Seventeenth Conference on Uncertainty in Artificial …, 2001
64*2001
From qualitative to quantitative probabilistic networks
S Renooij, LC van der Gaag
Proceedings of the Eighteenth Conference on Uncertainty in Artificial …, 2002
60*2002
Qualitative approaches to quantifying probabilistic networks
S Renooij
Utrecht University, 2001
592001
Context-specific sign-propagation in qualitative probabilistic networks
S Renooij, LC Van der Gaag, S Parsons
Artificial Intelligence 140 (1-2), 207-230, 2002
562002
Discretizing environmental data for learning Bayesian-network classifiers
RF Ropero, S Renooij, LC Van der Gaag
Ecological Modelling 368, 391-403, 2018
482018
Modeling crime scenarios in a Bayesian network
C Vlek, H Prakken, S Renooij, B Verheij
Proceedings of the fourteenth international conference on artificial …, 2013
482013
Enhancing QPNs for trade-off resolution
S Renooij, LC van der Gaag
Fifteenth Conference on Uncertainty in Artificial Intelligence, 559 – 566, 1999
44*1999
Explaining Bayesian networks using argumentation
ST Timmer, JJC Meyer, H Prakken, S Renooij, B Verheij
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2015
422015
Enhanced qualitative probabilistic networks for resolving trade-offs
S Renooij, LC Van Der Gaag
Artificial Intelligence 172 (12-13), 1470-1494, 2008
402008
Reconstructing causal reasoning about evidence: a case study
H Prakken, S Renooij
Legal knowledge and information systems. JURIX, 131-142, 2001
402001
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Artículos 1–20