Silja Renooij

Orcid: 0000-0003-4339-8146

According to our database1, Silja Renooij authored at least 86 papers between 1998 and 2023.

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Bibliography

2023
Efficient search for relevance explanations using MAP-independence in Bayesian networks.
Int. J. Approx. Reason., September, 2023

Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains.
Argument Comput., 2023

Improving Rationales with Small, Inconsistent and Incomplete Data.
Proceedings of the Legal Knowledge and Information Systems, 2023

Evaluating Methods for Setting a Prior Probability of Guilt.
Proceedings of the Legal Knowledge and Information Systems, 2023

Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research.
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.
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).
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.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022
Deductive and abductive argumentation based on information graphs.
Argument Comput., 2022

Relevance for Robust Bayesian Network MAP-Explanations.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Discovering the Rationale of Decisions.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021
Information graphs and their use for Bayesian network graph construction.
Int. J. Approx. Reason., 2021

Rationale Discovery and Explainable AI.
Proceedings of the Legal Knowledge and Information Systems, 2021

Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning.
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.
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.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020
Building Causal Interaction Models by Recursive Unfolding.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Deductive and Abductive Reasoning with Causal and Evidential Information.
Proceedings of the Computational Models of Argument, 2020

2019
The Hidden Elegance of Causal Interaction Models.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

On Intercausal Interactions in Probabilistic Relational Models.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Supporting Discussions About Forensic Bayesian Networks Using Argumentation.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Constructing Bayesian Network Graphs from Labeled Arguments.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018
Same-Decision Probability: Threshold Robustness and Application to Explanation.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments.
Proceedings of the Legal Knowledge and Information Systems, 2018

2017
A two-phase method for extracting explanatory arguments from Bayesian networks.
Int. J. Approx. Reason., 2017

Structure-Based Categorisation of Bayesian Network Parameters.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments.
Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

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

A method for explaining Bayesian networks for legal evidence with scenarios.
Artif. Intell. Law, 2016

Evidence Evaluation: a Study of Likelihoods and Independence.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks.
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.
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).
Int. J. Approx. Reason., 2015

Representing the Quality of Crime Scenarios in a Bayesian Network.
Proceedings of the Legal Knowledge and Information Systems, 2015

Capturing Critical Questions in Bayesian Network Fragments: - Extended abstract.
Proceedings of the Legal Knowledge and Information Systems, 2015

Explaining Legal Bayesian Networks Using Support Graphs.
Proceedings of the Legal Knowledge and Information Systems, 2015

Constructing and understanding Bayesian networks for legal evidence with scenario schemes.
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.
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.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Explaining Bayesian Networks Using Argumentation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Relevance of Evidence in Bayesian Networks.
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.
Int. J. Approx. Reason., 2014

Building Bayesian networks for legal evidence with narratives: a case study evaluation.
Artif. Intell. Law, 2014

Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Extracting Scenarios from a Bayesian Network as Explanations for Legal Evidence.
Proceedings of the Legal Knowledge and Information Systems, 2014

Extracting Legal Arguments from Forensic Bayesian Networks.
Proceedings of the Legal Knowledge and Information Systems, 2014

Sensitivity of Multi-dimensional Bayesian Classifiers.
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.
Proceedings of the Computational Models of Argument, 2014

2013
Unfolding Crime Scenarios with Variations: A Method for Building a Bayesian Network for Legal Narratives.
Proceedings of the Legal Knowledge and Information Systems, 2013

Modeling crime scenarios in a Bayesian network.
Proceedings of the International Conference on Artificial Intelligence and Law, 2013

Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network.
Proceedings of the 2013 Workshop on Computational Models of Narrative, 2013

2012
Efficient sensitivity analysis in hidden markov models.
Int. J. Approx. Reason., 2012

Experiences with Eliciting Probabilities from Multiple Experts.
Proceedings of the Advances in Computational Intelligence, 2012

Discretisation Effects in Naive Bayesian Networks.
Proceedings of the Advances in Computational Intelligence, 2012

2009
Inference in qualitative probabilistic networks revisited.
Int. J. Approx. Reason., 2009

Aligning Bayesian Network Classifiers with Medical Contexts.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Workshop summary: Seventh annual workshop on Bayes applications.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

When in Doubt ... Be Indecisive.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Evidence and scenario sensitivities in naive Bayesian classifiers.
Int. J. Approx. Reason., 2008

Enhanced qualitative probabilistic networks for resolving trade-offs.
Artif. Intell., 2008

2007
Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.
BMC Medical Informatics Decis. Mak., 2007

2006
Lattices for Studying Monotonicity of Bayesian Networks.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
Introducing situational signs in qualitative probabilistic networks.
Int. J. Approx. Reason., 2005

Exploiting Evidence-dependent Sensitivity Bounds.
Proceedings of the UAI '05, 2005

2004
Evidence-invariant Sensitivity Bounds.
Proceedings of the UAI '04, 2004

2003
Evaluation of a verbal-numerical probability scale.
Int. J. Approx. Reason., 2003

Upgrading Ambiguous Signs in QPNs.
Proceedings of the UAI '03, 2003

Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Introducing Situational Influences in QPNs.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Probabilistic Networks as Probabilistic Forecasters.
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.
Artif. Intell. Medicine, 2002

Probabilities for a probabilistic network: a case study in oesophageal cancer.
Artif. Intell. Medicine, 2002

Context-specific sign-propagation in qualitative probabilistic networks.
Artif. Intell., 2002

From Qualitative to Quantitative Probabilistic Networks.
Proceedings of the UAI '02, 2002

Propagation of Multiple Observations in QPNs Revisited.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Probability elicitation for belief networks: issues to consider.
Knowl. Eng. Rev., 2001

Analysing Sensitivity Data from Probabilistic Networks.
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.
Proceedings of the Artificial Intelligence Medicine, 2001

On the Evaluation of Probabilistic Networks.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Pivotal Pruning of Trade-offs in QPNs.
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.
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

1999
Talking probabilities: communicating probabilistic information with words and numbers.
Int. J. Approx. Reason., 1999

Enhancing QPNs for Trade-off Resolution.
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.
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.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998


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