Silja Renooij

According to our database, Silja Renooij authored at least 87 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Building a Stronger Case: Combining Evidence and Law in Scenario-Based Bayesian Networks.

Ludi van Leeuwen, Rineke Verbrugge, Bart Verheij, Silja Renooij

Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

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., September, 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

Improving Rationales with Small, Inconsistent and Incomplete Data.

Cor Steging, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2023

Evaluating Methods for Setting a Prior Probability of Guilt.

Ludi van Leeuwen, Bart Verheij, Rineke Verbrugge, Silja Renooij

Proceedings of the Legal Knowledge and Information Systems, 2023

Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research.

Cor Steging, Silja Renooij, Bart Verheij

Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios.

Ludi van Leeuwen, Bart Verheij, Rineke Verbrugge, Silja Renooij

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems (Short Paper).

Annet Onnes, Mehdi Dastani, Silja Renooij

Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023), 2023

Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems.

Annet Onnes, Mehdi Dastani, Silja Renooij

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection.

Annet Onnes, Mehdi Dastani, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022

Deductive and abductive argumentation based on information graphs.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Argument Comput., 2022

Relevance for Robust Bayesian Network MAP-Explanations.

Silja Renooij

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Discovering the Rationale of Decisions.

Cor Steging, Silja Renooij, Bart Verheij

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021

Information graphs and their use for Bayesian network graph construction.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Int. J. Approx. Reason., 2021

Rationale Discovery and Explainable AI.

Cor Steging, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2021

Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning.

Cor Steging, Bart Verheij, Silja Renooij

Proceedings of 4th International Workshop on eXplainable and Responsible AI and Law co-located with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021), 2021

Discovering the rationale of decisions: towards a method for aligning learning and reasoning.

Cor Steging, Silja Renooij, Bart Verheij

Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Persuasive Contrastive Explanations for Bayesian Networks.

Tara Koopman, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Building Causal Interaction Models by Recursive Unfolding.

Linda C. van der Gaag, Silja Renooij, Alessandro Facchini

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Deductive and Abductive Reasoning with Causal and Evidential Information.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Proceedings of the Computational Models of Argument, 2020

2019

The Hidden Elegance of Causal Interaction Models.

Silja Renooij, Linda C. van der Gaag

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

On Intercausal Interactions in Probabilistic Relational Models.

Silja Renooij, Linda C. van der Gaag, Philippe Leray

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Supporting Discussions About Forensic Bayesian Networks Using Argumentation.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Constructing Bayesian Network Graphs from Labeled Arguments.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018

Same-Decision Probability: Threshold Robustness and Application to Explanation.

Silja Renooij

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments.

Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij

Proceedings of the Legal Knowledge and Information Systems, 2018

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

Structure-Based Categorisation of Bayesian Network Parameters.

Janneke H. Bolt, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments.

Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

2016

Special Issue on the Seventh Probabilistic Graphical Models Conference (PGM 2014).

Silja Renooij

Int. J. Approx. Reason., 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

Evidence Evaluation: a Study of Likelihoods and Independence.

Silja Renooij

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks.

Janneke H. Bolt, Jasper De Bock, Silja Renooij

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

From Arguments to Constraints on a Bayesian Network.

Floris Bex, Silja Renooij

Proceedings of the Computational Models of Argument, 2016

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

Representing the Quality of Crime Scenarios in a Bayesian Network.

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2015

Capturing Critical Questions in Bayesian Network Fragments: - Extended abstract.

Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2015

Explaining Legal Bayesian Networks Using Support Graphs.

Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2015

Constructing and understanding Bayesian networks for legal evidence with scenario schemes.

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the 15th International Conference on Artificial Intelligence and Law, 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

Proceedings of the 15th International Conference on Artificial Intelligence and Law, 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

Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Explaining Bayesian Networks Using Argumentation.

Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Relevance of Evidence in Bayesian Networks.

Michelle Meekes, Silja Renooij, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Co-variation for sensitivity analysis in Bayesian networks: Properties, consequences and alternatives.

Silja Renooij

Int. J. Approx. Reason., 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

Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts.

Janneke H. Bolt, Silja Renooij

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Extracting Scenarios from a Bayesian Network as Explanations for Legal Evidence.

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2014

Extracting Legal Arguments from Forensic Bayesian Networks.

Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Legal Knowledge and Information Systems, 2014

Sensitivity of Multi-dimensional Bayesian Classifiers.

Janneke H. Bolt, Silja Renooij

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

A Tool for the Generation of Arguments from Bayesian Networks.

Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the Computational Models of Argument, 2014

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

Proceedings of the Legal Knowledge and Information Systems, 2013

Modeling crime scenarios in a Bayesian network.

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the International Conference on Artificial Intelligence and Law, 2013

Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network.

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Proceedings of the 2013 Workshop on Computational Models of Narrative, 2013

2012

Efficient sensitivity analysis in hidden markov models.

Silja Renooij

Int. J. Approx. Reason., 2012

Experiences with Eliciting Probabilities from Multiple Experts.

Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen

Proceedings of the Advances in Computational Intelligence, 2012

Discretisation Effects in Naive Bayesian Networks.

Roel Bertens, Linda C. van der Gaag, Silja Renooij

Proceedings of the Advances in Computational Intelligence, 2012

2009

Inference in qualitative probabilistic networks revisited.

Frank van Kouwen, Silja Renooij, Paul P. Schot

Int. J. Approx. Reason., 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

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 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

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

When in Doubt ... Be Indecisive.

Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Evidence and scenario sensitivities in naive Bayesian classifiers.

Silja Renooij, Linda C. van der Gaag

Int. J. Approx. Reason., 2008

Enhanced qualitative probabilistic networks for resolving trade-offs.

Silja Renooij, Linda C. van der Gaag

Artif. Intell., 2008

2007

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

2006

Lattices for Studying Monotonicity of Bayesian Networks.

Linda C. van der Gaag, Silja Renooij, Petra L. Geenen

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

Introducing situational signs in qualitative probabilistic networks.

Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij

Int. J. Approx. Reason., 2005

Exploiting Evidence-dependent Sensitivity Bounds.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '05, 2005

2004

Evidence-invariant Sensitivity Bounds.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '04, 2004

2003

Evaluation of a verbal-numerical probability scale.

Cilia Witteman, Silja Renooij

Int. J. Approx. Reason., 2003

Upgrading Ambiguous Signs in QPNs.

Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '03, 2003

Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks.

Silja Renooij, Simon Parsons, Pauline Pardieck

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Introducing Situational Influences in QPNs.

Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Probabilistic Networks as Probabilistic Forecasters.

Linda C. van der Gaag, Silja Renooij

Proceedings of the Artificial Intelligence in Medicine, 2003

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

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

Context-specific sign-propagation in qualitative probabilistic networks.

Silja Renooij, Linda C. van der Gaag, Simon Parsons

Artif. Intell., 2002

From Qualitative to Quantitative Probabilistic Networks.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '02, 2002

Propagation of Multiple Observations in QPNs Revisited.

Silja Renooij, Linda C. van der Gaag, Simon Parsons

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Probability elicitation for belief networks: issues to consider.

Silja Renooij

Knowl. Eng. Rev., 2001

Analysing Sensitivity Data from Probabilistic Networks.

Linda C. van der Gaag, Silja Renooij

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

The Effects of Disregarding Test Characteristics in Probabilistic Networks.

Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen

Proceedings of the Artificial Intelligence Medicine, 2001

On the Evaluation of Probabilistic Networks.

Linda C. van der Gaag, Silja Renooij

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Pivotal Pruning of Trade-offs in QPNs.

Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Zooming in on Trade-Offs in Qualitative Probabilistic Networks.

Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

1999

Talking probabilities: communicating probabilistic information with words and numbers.

Silja Renooij, Cilia Witteman

Int. J. Approx. Reason., 1999

Enhancing QPNs for Trade-off Resolution.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

How to Elicit Many Probabilities.

Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

1998

Decision Making in Qualitative Influence Diagrams.

Silja Renooij, Linda C. van der Gaag

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998