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Silja Renooij
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2020 – today
- 2024
- [c67]Ludi van Leeuwen
, Rineke Verbrugge, Bart Verheij
, Silja Renooij
:
Building a Stronger Case: Combining Evidence and Law in Scenario-Based Bayesian Networks. HHAI 2024: 291-299 - 2023
- [j22]Cor Steging, Silja Renooij
, Bart Verheij
, Trevor J. M. Bench-Capon
:
Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains. Argument Comput. 14(2): 235-243 (2023) - [j21]Enrique Valero-Leal, Concha Bielza
, Pedro Larrañaga, Silja Renooij
:
Efficient search for relevance explanations using MAP-independence in Bayesian networks. Int. J. Approx. Reason. 160: 108965 (2023) - [c66]Annet Onnes, Mehdi Dastani, Silja Renooij
:
Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection. ECSQARU 2023: 149-159 - [c65]Annet Onnes, Mehdi Dastani, Silja Renooij
:
Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems. FLAIRS 2023 - [c64]Annet Onnes, Mehdi Dastani, Silja Renooij:
Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems (Short Paper). HHAI Workshops 2023: 96-104 - [c63]Cor Steging, Silja Renooij, Bart Verheij:
Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research. ASAIL@ICAIL 2023: 49-59 - [c62]Ludi van Leeuwen
, Bart Verheij
, Rineke Verbrugge
, Silja Renooij
:
Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios. ICAIL 2023: 323-332 - [c61]Cor Steging, Silja Renooij
, Bart Verheij
:
Improving Rationales with Small, Inconsistent and Incomplete Data. JURIX 2023: 53-62 - [c60]Ludi van Leeuwen
, Bart Verheij
, Rineke Verbrugge, Silja Renooij
:
Evaluating Methods for Setting a Prior Probability of Guilt. JURIX 2023: 63-72 - 2022
- [j20]Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij
:
Deductive and abductive argumentation based on information graphs. Argument Comput. 13(1): 49-91 (2022) - [c59]Cor Steging, Silja Renooij
, Bart Verheij
:
Discovering the Rationale of Decisions. HHAI 2022: 255-257 - [c58]Silja Renooij:
Relevance for Robust Bayesian Network MAP-Explanations. PGM 2022: 13-24 - 2021
- [j19]Remi Wieten
, Floris Bex
, Henry Prakken, Silja Renooij
:
Information graphs and their use for Bayesian network graph construction. Int. J. Approx. Reason. 136: 249-280 (2021) - [c57]Tara Koopman, Silja Renooij
:
Persuasive Contrastive Explanations for Bayesian Networks. ECSQARU 2021: 229-242 - [c56]Cor Steging, Silja Renooij
, Bart Verheij
:
Discovering the rationale of decisions: towards a method for aligning learning and reasoning. ICAIL 2021: 235-239 - [c55]Cor Steging, Bart Verheij, Silja Renooij:
Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning. XAILA@ICAIL 2021 - [c54]Cor Steging, Silja Renooij
, Bart Verheij
:
Rationale Discovery and Explainable AI. JURIX 2021: 225-234 - [i9]Cor Steging, Silja Renooij, Bart Verheij:
Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning. CoRR abs/2105.06758 (2021) - 2020
- [c53]Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij
:
Deductive and Abductive Reasoning with Causal and Evidential Information. COMMA 2020: 383-394 - [c52]Linda C. van der Gaag, Silja Renooij, Alessandro Facchini:
Building Causal Interaction Models by Recursive Unfolding. PGM 2020: 509-520
2010 – 2019
- 2019
- [c51]Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij
:
Constructing Bayesian Network Graphs from Labeled Arguments. ECSQARU 2019: 99-110 - [c50]Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij
:
Supporting Discussions About Forensic Bayesian Networks Using Argumentation. ICAIL 2019: 143-152 - [c49]Silja Renooij, Linda C. van der Gaag, Philippe Leray:
On Intercausal Interactions in Probabilistic Relational Models. ISIPTA 2019: 327-329 - [c48]Silja Renooij
, Linda C. van der Gaag:
The Hidden Elegance of Causal Interaction Models. SUM 2019: 38-51 - 2018
- [c47]Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij
:
Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments. JURIX 2018: 151-160 - [c46]Silja Renooij:
Same-Decision Probability: Threshold Robustness and Application to Explanation. PGM 2018: 368-379 - 2017
- [j18]Sjoerd T. Timmer
, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij
:
A two-phase method for extracting explanatory arguments from Bayesian networks. Int. J. Approx. Reason. 80: 475-494 (2017) - [c45]Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij
:
Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. BNCAI 2017: 32-45 - [c44]Janneke H. Bolt, Silja Renooij
:
Structure-Based Categorisation of Bayesian Network Parameters. ECSQARU 2017: 83-92 - 2016
- [j17]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij
:
A method for explaining Bayesian networks for legal evidence with scenarios. Artif. Intell. Law 24(3): 285-324 (2016) - [j16]Silja Renooij
:
Special Issue on the Seventh Probabilistic Graphical Models Conference (PGM 2014). Int. J. Approx. Reason. 68: 88-90 (2016) - [c43]Floris Bex, Silja Renooij
:
From Arguments to Constraints on a Bayesian Network. COMMA 2016: 95-106 - [c42]Janneke H. Bolt, Jasper De Bock, Silja Renooij
:
Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks. ECAI 2016: 646-654 - [c41]Silja Renooij:
Evidence Evaluation: a Study of Likelihoods and Independence. Probabilistic Graphical Models 2016: 426-437 - 2015
- [j15]Silja Renooij
, Jan M. Broersen:
Special Issue on the Twelfth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2013). Int. J. Approx. Reason. 58: 1-2 (2015) - [c40]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij
:
Explaining Bayesian Networks Using Argumentation. ECSQARU 2015: 83-92 - [c39]Michelle Meekes, Silja Renooij
, Linda C. van der Gaag:
Relevance of Evidence in Bayesian Networks. ECSQARU 2015: 366-375 - [c38]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij
:
A structure-guided approach to capturing bayesian reasoning about legal evidence in argumentation. ICAIL 2015: 109-118 - [c37]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij
:
Constructing and understanding Bayesian networks for legal evidence with scenario schemes. ICAIL 2015: 128-137 - [c36]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij
:
Demonstration of a structure-guided approach to capturing bayesian reasoning about legal evidence in argumentation. ICAIL 2015: 233-234 - [c35]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij:
Explaining Legal Bayesian Networks Using Support Graphs. JURIX 2015: 121-130 - [c34]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Representing the Quality of Crime Scenarios in a Bayesian Network. JURIX 2015: 131-140 - [c33]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij:
Capturing Critical Questions in Bayesian Network Fragments: - Extended abstract. JURIX 2015: 173-176 - 2014
- [j14]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Building Bayesian networks for legal evidence with narratives: a case study evaluation. Artif. Intell. Law 22(4): 375-421 (2014) - [j13]Silja Renooij
:
Co-variation for sensitivity analysis in Bayesian networks: Properties, consequences and alternatives. Int. J. Approx. Reason. 55(4): 1022-1042 (2014) - [c32]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij
:
A Tool for the Generation of Arguments from Bayesian Networks. COMMA 2014: 479-480 - [c31]Janneke H. Bolt, Silja Renooij
:
Sensitivity of Multi-dimensional Bayesian Classifiers. ECAI 2014: 971-972 - [c30]Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij
, Bart Verheij:
Extracting Legal Arguments from Forensic Bayesian Networks. JURIX 2014: 71-80 - [c29]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Extracting Scenarios from a Bayesian Network as Explanations for Legal Evidence. JURIX 2014: 103-112 - [c28]Janneke H. Bolt, Silja Renooij
:
Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts. Probabilistic Graphical Models 2014: 65-80 - 2013
- [c27]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network. CMN 2013: 315-332 - [c26]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Modeling crime scenarios in a Bayesian network. ICAIL 2013: 150-159 - [c25]Charlotte S. Vlek, Henry Prakken, Silja Renooij
, Bart Verheij:
Unfolding Crime Scenarios with Variations: A Method for Building a Bayesian Network for Legal Narratives. JURIX 2013: 145-154 - [i8]Silja Renooij, Linda C. van der Gaag:
From Qualitative to Quantitative Probabilistic Networks. CoRR abs/1301.0596 (2013) - [i7]Linda C. van der Gaag, Silja Renooij:
Analysing Sensitivity Data from Probabilistic Networks. CoRR abs/1301.2314 (2013) - [i6]Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green:
Pivotal Pruning of Trade-offs in QPNs. CoRR abs/1301.3889 (2013) - [i5]Silja Renooij, Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution. CoRR abs/1301.6735 (2013) - [i4]Linda C. van der Gaag, Silja Renooij, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal:
How to Elicit Many Probabilities. CoRR abs/1301.6745 (2013) - 2012
- [j12]Silja Renooij
:
Efficient sensitivity analysis in hidden markov models. Int. J. Approx. Reason. 53(9): 1397-1414 (2012) - [c24]Linda C. van der Gaag, Silja Renooij
, Hermina Schijf, Armin Elbers, Willie Loeffen
:
Experiences with Eliciting Probabilities from Multiple Experts. IPMU (3) 2012: 151-160 - [c23]Roel Bertens, Linda C. van der Gaag, Silja Renooij
:
Discretisation Effects in Naive Bayesian Networks. IPMU (3) 2012: 161-170 - [i3]Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds. CoRR abs/1207.1357 (2012) - [i2]Silja Renooij, Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds. CoRR abs/1207.4170 (2012) - [i1]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. CoRR abs/1212.2445 (2012)
2000 – 2009
- 2009
- [j11]Frank van Kouwen, Silja Renooij
, Paul P. Schot:
Inference in qualitative probabilistic networks revisited. Int. J. Approx. Reason. 50(5): 708-720 (2009) - [c22]Linda C. van der Gaag, Silja Renooij
, Wilma Steeneveld, Henk Hogeveen
:
When in Doubt ... Be Indecisive. ECSQARU 2009: 518-529 - [c21]John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij
:
Workshop summary: Seventh annual workshop on Bayes applications. ICML 2009: 3 - [c20]Linda C. van der Gaag, Silja Renooij
, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser:
Aligning Bayesian Network Classifiers with Medical Contexts. MLDM 2009: 787-801 - 2008
- [j10]Silja Renooij
, Linda C. van der Gaag:
Enhanced qualitative probabilistic networks for resolving trade-offs. Artif. Intell. 172(12-13): 1470-1494 (2008) - [j9]Silja Renooij
, Linda C. van der Gaag:
Evidence and scenario sensitivities in naive Bayesian classifiers. Int. J. Approx. Reason. 49(2): 398-416 (2008) - [e1]Silja Renooij, Hermina J. M. Tabachneck-Schijf, Suzanne M. Mahoney:
Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop Helsinki, Finland, July 9, 2008. CEUR Workshop Proceedings 406, CEUR-WS.org 2008 [contents] - 2007
- [j8]Cilia Witteman, Silja Renooij
, Pieter Koele:
Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales. BMC Medical Informatics Decis. Mak. 7: 13 (2007) - 2006
- [c19]Linda C. van der Gaag, Silja Renooij, Petra L. Geenen:
Lattices for Studying Monotonicity of Bayesian Networks. Probabilistic Graphical Models 2006: 99-106 - [c18]Silja Renooij, Linda C. van der Gaag:
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. Probabilistic Graphical Models 2006: 255-262 - 2005
- [j7]Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
:
Introducing situational signs in qualitative probabilistic networks. Int. J. Approx. Reason. 38(3): 333-354 (2005) - [c17]Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds. UAI 2005: 485-492 - 2004
- [c16]Silja Renooij, Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds. UAI 2004: 479-486 - 2003
- [j6]Cilia Witteman
, Silja Renooij
:
Evaluation of a verbal-numerical probability scale. Int. J. Approx. Reason. 33(2): 117-131 (2003) - [c15]Linda C. van der Gaag, Silja Renooij
:
Probabilistic Networks as Probabilistic Forecasters. AIME 2003: 294-298 - [c14]Silja Renooij
, Simon Parsons, Pauline Pardieck:
Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks. ECSQARU 2003: 87-99 - [c13]Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
:
Introducing Situational Influences in QPNs. ECSQARU 2003: 113-124 - [c12]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. UAI 2003: 73-80 - 2002
- [j5]Silja Renooij
, Linda C. van der Gaag, Simon Parsons:
Context-specific sign-propagation in qualitative probabilistic networks. Artif. Intell. 140(1/2): 207-230 (2002) - [j4]Linda C. van der Gaag, Silja Renooij
, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal:
Probabilities for a probabilistic network: a case study in oesophageal cancer. Artif. Intell. Medicine 25(2): 123-148 (2002) - [j3]Silja Renooij:
Qualitative Methods for Reasoning under Uncertainty - Simon Parsons (Ed.), MIT Press, Cambridge, MA/London, 2001, 514 pp., 50 illustrations, hardcover. Artif. Intell. Medicine 26(3): 305-308 (2002) - [c11]Silja Renooij, Linda C. van der Gaag, Simon Parsons:
Propagation of Multiple Observations in QPNs Revisited. ECAI 2002: 665-669 - [c10]Silja Renooij, Linda C. van der Gaag:
From Qualitative to Quantitative Probabilistic Networks. UAI 2002: 422-429 - 2001
- [j2]Silja Renooij
:
Probability elicitation for belief networks: issues to consider. Knowl. Eng. Rev. 16(3): 255-269 (2001) - [c9]Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij
, Michael Egmont-Petersen:
The Effects of Disregarding Test Characteristics in Probabilistic Networks. AIME 2001: 188-198 - [c8]Linda C. van der Gaag, Silja Renooij
:
On the Evaluation of Probabilistic Networks. AIME 2001: 457-461 - [c7]Silja Renooij, Simon Parsons, Linda C. van der Gaag:
Context-specific Sign-propagation in Qualitative Probabilistic Networks. IJCAI 2001: 667-672 - [c6]Linda C. van der Gaag, Silja Renooij:
Analysing Sensitivity Data from Probabilistic Networks. UAI 2001: 530-537 - 2000
- [c5]Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons:
Zooming in on Trade-Offs in Qualitative Probabilistic Networks. FLAIRS 2000: 303-307 - [c4]Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green:
Pivotal Pruning of Trade-offs in QPNs. UAI 2000: 515-522
1990 – 1999
- 1999
- [j1]Silja Renooij
, Cilia Witteman:
Talking probabilities: communicating probabilistic information with words and numbers. Int. J. Approx. Reason. 22(3): 169-194 (1999) - [c3]Silja Renooij, Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution. UAI 1999: 559-566 - [c2]Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal:
How to Elicit Many Probabilities. UAI 1999: 647-654 - 1998
- [c1]Silja Renooij, Linda C. van der Gaag:
Decision Making in Qualitative Influence Diagrams. FLAIRS 1998: 410-414
Coauthor Index
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last updated on 2024-08-05 20:20 CEST by the dblp team
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