Silja Renooij

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Linda C. van der GaagSenior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, SwitzerlandVerified email at idsia.ch
Bart VerheijBernoulli Institute of Mathematics, Computer Science and AI, University of GroningenVerified email at rug.nl
Henry PrakkenDepartment of Information and Computing Sciences, Faculty of Science, Utrecht UniversityVerified email at cs.uu.nl
Cilia WittemanHoogleraar Psychodiagnostiek, Diagnostische BesluitvormingVerified email at socsci.ru.nl
Charlotte S. VlekPhD student Artificial Intelligence, University of GroningenVerified email at rug.nl
John-Jules Meyeremeritus Utrecht UniversityVerified email at cs.uu.nl
Sjoerd T. TimmerUtrecht UniversityVerified email at uu.nl
Floris BexUtrecht University & University of TilburgVerified email at uu.nl
Janneke H. BoltVerified email at uu.nl
Simon ParsonsUniversity of Lincoln, School of Computer ScienceVerified email at lincoln.ac.uk
Cor StegingUniversity of GroningenVerified email at rug.nl
Remi WietenPhD Utrecht UniversityVerified email at uu.nl
Veerle M.H. CoupéVerified email at vumc.nl
ROSA M FERNANDEZ ROPEROPhD University of AlmeríaVerified email at ual.es
Rineke VerbruggeProf. Logic and Cognition, Bernoulli Instite, Dept. Artificial Intelligence, University of GroningenVerified email at rug.nl
Ludi van LeeuwenPhD candidate, Bernoulli Institute, University of GroningenVerified email at rug.nl
Paul SchotAssociate professor Ecohydrology / Environmental SciencesVerified email at geo.uu.nl
Willie LoeffenCVI-Lelystad, part of Wageningen URVerified email at wur.nl
Bart CJM FauserProfessor Em. of Reproductive Medicine, University Medical Center Utrecht, Utrecht. The NetherlandsVerified email at umcutrecht.nl
Eijkemans, MJCProfessor of biostatisticsVerified email at umcutrecht.nl

Silja Renooij

Department of Information and Computing Sciences, Universiteit Utrecht

Verified email at uu.nl - Homepage

Probabilistic Models (Bayesian networks)explanation analysis validation construction


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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	291	1999
Probability elicitation for belief networks: issues to consider S Renooij The Knowledge Engineering Review 16 (3), 255-269, 2001	258	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	234	2002
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	203*	1999
Evaluation of a verbal–numerical probability scale C Witteman, S Renooij International Journal of Approximate Reasoning 33 (2), 117-131, 2003	105	2003
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	95	2016
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	89	2017
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	86	2016
Sensitivity analysis of probabilistic networks LC Van der Gaag, S Renooij, VMH Coupé Advances in probabilistic graphical models, 103-124, 2007	77	2007
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	76	2014
Analysing sensitivity data from probabilistic networks LC van der Gaag, S Renooij Proceedings of the Seventeenth Conference on Uncertainty in Artificial …, 2001	63*	2001
From qualitative to quantitative probabilistic networks S Renooij, LC van der Gaag Proceedings of the Eighteenth Conference on Uncertainty in Artificial …, 2002	59*	2002
Qualitative approaches to quantifying probabilistic networks S Renooij Utrecht University, 2001	59	2001
Context-specific sign-propagation in qualitative probabilistic networks S Renooij, LC Van der Gaag, S Parsons Artificial Intelligence 140 (1-2), 207-230, 2002	56	2002
Discretizing environmental data for learning Bayesian-network classifiers RF Ropero, S Renooij, LC Van der Gaag Ecological Modelling 368, 391-403, 2018	48	2018
Modeling crime scenarios in a Bayesian network C Vlek, H Prakken, S Renooij, B Verheij Proceedings of the fourteenth international conference on artificial …, 2013	48	2013
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	42	2015
Enhanced qualitative probabilistic networks for resolving trade-offs S Renooij, LC Van Der Gaag Artificial Intelligence 172 (12-13), 1470-1494, 2008	40	2008
Reconstructing causal reasoning about evidence: a case study H Prakken, S Renooij Legal knowledge and information systems. JURIX, 131-142, 2001	40	2001

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