Decision Making in Qualitative Influence Diagrams. - Silja Renooij; Linda C. van der Gaag (FLAIRS, 1998)

How to Elicit Many Probabilities. - Linda C. van der Gaag; Silja Renooij; C. L. M. Witteman; Berthe M. P. Aleman; Babs G. Taal (UAI, 1999)

Enhancing QPNs for Trade-off Resolution. - Silja Renooij; Linda C. van der Gaag (UAI, 1999)

Talking probabilities: communicating probabilistic information with words and numbers. - Silja Renooij; Cilia Witteman (Int. J. Approx. Reason., 1999)

Zooming in on Trade-Offs in Qualitative Probabilistic Networks. - Silja Renooij; Linda C. van der Gaag; Shaw Green; Simon Parsons (FLAIRS, 2000)

Pivotal Pruning of Trade-offs in QPNs. - Silja Renooij; Linda C. van der Gaag; Simon Parsons; Shaw Green (UAI, 2000)

On the Evaluation of Probabilistic Networks. - Linda C. van der Gaag; Silja Renooij (AIME, 2001)

The Effects of Disregarding Test Characteristics in Probabilistic Networks. - Linda C. van der Gaag; C. L. M. Witteman; Silja Renooij; Michael Egmont-Petersen (AIME, 2001)

Analysing Sensitivity Data from Probabilistic Networks. - Linda C. van der Gaag; Silja Renooij (UAI, 2001)

Probability elicitation for belief networks: issues to consider. - Silja Renooij (Knowl. Eng. Rev., 2001)

Propagation of Multiple Observations in QPNs Revisited. - Silja Renooij; Linda C. van der Gaag; Simon Parsons (ECAI, 2002)

From Qualitative to Quantitative Probabilistic Networks. - Silja Renooij; Linda C. van der Gaag (UAI, 2002)

Context-specific sign-propagation in qualitative probabilistic networks. - Silja Renooij; Linda C. van der Gaag; Simon Parsons (Artif. Intell., 2002)

Probabilities for a probabilistic network: a case study in oesophageal cancer. - Linda C. van der Gaag; Silja Renooij; C. L. M. Witteman; Berthe M. P. Aleman; Babs G. Taal (Artif. Intell. Medicine, 2002)

Qualitative Methods for Reasoning under Uncertainty - Simon Parsons (Ed.), MIT Press, Cambridge, MA/London, 2001, 514 pp., 50 illustrations, hardcover. - Silja Renooij (Artif. Intell. Medicine, 2002)

Probabilistic Networks as Probabilistic Forecasters. - Linda C. van der Gaag; Silja Renooij (AIME, 2003)

Introducing Situational Influences in QPNs. - Janneke H. Bolt; Linda C. van der Gaag; Silja Renooij (ECSQARU, 2003)

Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks. - Silja Renooij; Simon Parsons; Pauline Pardieck (ECSQARU, 2003)

Upgrading Ambiguous Signs in QPNs. - Janneke H. Bolt; Silja Renooij; Linda C. van der Gaag (UAI, 2003)

Evaluation of a verbal-numerical probability scale. - Cilia Witteman; Silja Renooij (Int. J. Approx. Reason., 2003)

Evidence-invariant Sensitivity Bounds. - Silja Renooij; Linda C. van der Gaag (UAI, 2004)

Exploiting Evidence-dependent Sensitivity Bounds. - Silja Renooij; Linda C. van der Gaag (UAI, 2005)

Introducing situational signs in qualitative probabilistic networks. - Janneke H. Bolt; Linda C. van der Gaag; Silja Renooij (Int. J. Approx. Reason., 2005)

Lattices for Studying Monotonicity of Bayesian Networks. - Linda C. van der Gaag; Silja Renooij; Petra L. Geenen (Probabilistic Graphical Models, 2006)

Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales. - Cilia Witteman; Silja Renooij; Pieter Koele (BMC Medical Informatics Decis. Mak., 2007)

Enhanced qualitative probabilistic networks for resolving trade-offs. - Silja Renooij; Linda C. van der Gaag (Artif. Intell., 2008)

Evidence and scenario sensitivities in naive Bayesian classifiers. - Silja Renooij; Linda C. van der Gaag (Int. J. Approx. Reason., 2008)

When in Doubt ... Be Indecisive. - Linda C. van der Gaag; Silja Renooij; Wilma Steeneveld; Henk Hogeveen (ECSQARU, 2009)

Workshop summary: Seventh annual workshop on Bayes applications. - John Mark Agosta; Russell G. Almond; Dennis M. Buede; Marek J. Druzdzel; Judy Goldsmith; Silja Renooij (ICML, 2009)

Aligning Bayesian Network Classifiers with Medical Contexts. - Linda C. van der Gaag; Silja Renooij; Ad Feelders; Arend de Groote; Marinus J. C. Eijkemans; Frank J. Broekmans; Bart C. J. M. Fauser (MLDM, 2009)

Inference in qualitative probabilistic networks revisited. - Frank van Kouwen; Silja Renooij; Paul P. Schot (Int. J. Approx. Reason., 2009)

Discretisation Effects in Naive Bayesian Networks. - Roel Bertens; Linda C. van der Gaag; Silja Renooij (IPMU (3), 2012)

Experiences with Eliciting Probabilities from Multiple Experts. - Linda C. van der Gaag; Silja Renooij; Hermina Schijf; Armin Elbers; Willie Loeffen (IPMU (3), 2012)

Efficient sensitivity analysis in hidden markov models. - Silja Renooij (Int. J. Approx. Reason., 2012)

Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (CMN, 2013)

Modeling crime scenarios in a Bayesian network. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (ICAIL, 2013)

Unfolding Crime Scenarios with Variations: A Method for Building a Bayesian Network for Legal Narratives. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2013)

A Tool for the Generation of Arguments from Bayesian Networks. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (COMMA, 2014)

Sensitivity of Multi-dimensional Bayesian Classifiers. - Janneke H. Bolt; Silja Renooij (ECAI, 2014)

Extracting Legal Arguments from Forensic Bayesian Networks. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2014)

Extracting Scenarios from a Bayesian Network as Explanations for Legal Evidence. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2014)

Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts. - Janneke H. Bolt; Silja Renooij (Probabilistic Graphical Models, 2014)

Building Bayesian networks for legal evidence with narratives: a case study evaluation. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (Artif. Intell. Law, 2014)

Co-variation for sensitivity analysis in Bayesian networks: Properties, consequences and alternatives. - Silja Renooij (Int. J. Approx. Reason., 2014)

Relevance of Evidence in Bayesian Networks. - Michelle Meekes; Silja Renooij; Linda C. van der Gaag (ECSQARU, 2015)

Explaining Bayesian Networks Using Argumentation. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (ECSQARU, 2015)

A structure-guided approach to capturing bayesian reasoning about legal evidence in argumentation. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (ICAIL, 2015)

Demonstration of a structure-guided approach to capturing bayesian reasoning about legal evidence in argumentation. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (ICAIL, 2015)

Constructing and understanding Bayesian networks for legal evidence with scenario schemes. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (ICAIL, 2015)

Explaining Legal Bayesian Networks Using Support Graphs. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2015)

Capturing Critical Questions in Bayesian Network Fragments: - Extended abstract. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2015)

Representing the Quality of Crime Scenarios in a Bayesian Network. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (JURIX, 2015)

Special Issue on the Twelfth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2013). - Silja Renooij; Jan M. Broersen (Int. J. Approx. Reason., 2015)

From Arguments to Constraints on a Bayesian Network. - Floris Bex; Silja Renooij (COMMA, 2016)

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks. - Janneke H. Bolt; Jasper De Bock; Silja Renooij (ECAI, 2016)

Evidence Evaluation: a Study of Likelihoods and Independence. - Silja Renooij (Probabilistic Graphical Models, 2016)

A method for explaining Bayesian networks for legal evidence with scenarios. - Charlotte S. Vlek; Henry Prakken; Silja Renooij; Bart Verheij (Artif. Intell. Law, 2016)

Special Issue on the Seventh Probabilistic Graphical Models Conference (PGM 2014). - Silja Renooij (Int. J. Approx. Reason., 2016)

Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. - Remi Wieten; Floris Bex; Linda C. van der Gaag; Henry Prakken; Silja Renooij (BNCAI, 2017)

Structure-Based Categorisation of Bayesian Network Parameters. - Janneke H. Bolt; Silja Renooij (ECSQARU, 2017)

A two-phase method for extracting explanatory arguments from Bayesian networks. - Sjoerd T. Timmer; John-Jules Ch. Meyer; Henry Prakken; Silja Renooij; Bart Verheij (Int. J. Approx. Reason., 2017)

Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (JURIX, 2018)

Same-Decision Probability: Threshold Robustness and Application to Explanation. - Silja Renooij (PGM, 2018)

Constructing Bayesian Network Graphs from Labeled Arguments. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (ECSQARU, 2019)

Supporting Discussions About Forensic Bayesian Networks Using Argumentation. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (ICAIL, 2019)

On Intercausal Interactions in Probabilistic Relational Models. - Silja Renooij; Linda C. van der Gaag; Philippe Leray 001 (ISIPTA, 2019)

The Hidden Elegance of Causal Interaction Models. - Silja Renooij; Linda C. van der Gaag (SUM, 2019)

Deductive and Abductive Reasoning with Causal and Evidential Information. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (COMMA, 2020)

Building Causal Interaction Models by Recursive Unfolding. - Linda C. van der Gaag; Silja Renooij; Alessandro Facchini (PGM, 2020)

Persuasive Contrastive Explanations for Bayesian Networks. - Tara Koopman; Silja Renooij (ECSQARU, 2021)

Discovering the rationale of decisions: towards a method for aligning learning and reasoning. - Cor Steging; Silja Renooij; Bart Verheij (ICAIL, 2021)

Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning. - Cor Steging; Bart Verheij; Silja Renooij (XAILA@ICAIL, 2021)

Rationale Discovery and Explainable AI. - Cor Steging; Silja Renooij; Bart Verheij (JURIX, 2021)

Information graphs and their use for Bayesian network graph construction. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (Int. J. Approx. Reason., 2021)

Discovering the Rationale of Decisions. - Cor Steging; Silja Renooij; Bart Verheij (HHAI, 2022)

Relevance for Robust Bayesian Network MAP-Explanations. - Silja Renooij (PGM, 2022)

Deductive and abductive argumentation based on information graphs. - Remi Wieten; Floris Bex; Henry Prakken; Silja Renooij (Argument Comput., 2022)

Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection. - Annet Onnes; Mehdi Dastani; Silja Renooij (ECSQARU, 2023)

Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems. - Annet Onnes; Mehdi Dastani; Silja Renooij (FLAIRS, 2023)

Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems (Short Paper). - Annet Onnes; Mehdi Dastani; Silja Renooij (HHAI Workshops, 2023)

Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios. - Ludi van Leeuwen; Bart Verheij; Rineke Verbrugge; Silja Renooij (ICAIL, 2023)

Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research. - Cor Steging; Silja Renooij; Bart Verheij (ASAIL@ICAIL, 2023)

Evaluating Methods for Setting a Prior Probability of Guilt. - Ludi van Leeuwen; Bart Verheij; Rineke Verbrugge; Silja Renooij (JURIX, 2023)

Improving Rationales with Small, Inconsistent and Incomplete Data. - Cor Steging; Silja Renooij; Bart Verheij (JURIX, 2023)

Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains. - Cor Steging; Silja Renooij; Bart Verheij; Trevor J. M. Bench-Capon (Argument Comput., 2023)

Efficient search for relevance explanations using MAP-independence in Bayesian networks. - Enrique Valero-Leal; Concha Bielza; Pedro Larrañaga; Silja Renooij (Int. J. Approx. Reason., 2023)

Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support (Short Paper). - Janneke H. Bolt; Anna Berghuis; Arjen Hommersom; Marike Lombaers; Johanna M. A. Pijnenborg; Silja Renooij (HC@AIxIA, 2024)

Building a Stronger Case: Combining Evidence and Law in Scenario-Based Bayesian Networks. - Ludi van Leeuwen; Rineke Verbrugge; Bart Verheij; Silja Renooij (HHAI, 2024)

Extending Idioms for Bayesian Network Construction with Qualitative Constraints. - Annet Onnes; Mehdi Dastani; Roel Dobbe; Silja Renooij (IPMU (1), 2024)

Preface. - Johan Kwisthout; Silja Renooij (PGM, 2024)

Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models. - Cor Steging; Silja Renooij; Bart Verheij (CoRR, 2025)