286 results on '"Renooij, Silja"'
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2. Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection
3. Improving Rationales with Small, Inconsistent and Incomplete Data
4. Evaluating Methods for Setting a Prior Probability of Guilt
5. Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection
6. Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning
7. Efficient search for relevance explanations using MAP-independence in Bayesian networks
8. Discovering the Rationale of Decisions
9. Persuasive Contrastive Explanations for Bayesian Networks
10. Information graphs and their use for Bayesian network graph construction
11. Building a stronger case: combining evidence and law in scenario-based Bayesian networks
12. Rationale Discovery and Explainable AI
13. The Hidden Elegance of Causal Interaction Models
14. Constructing Bayesian Network Graphs from Labeled Arguments
15. How to Elicit Many Probabilities
16. Enhancing QPNs for Trade-off Resolution
17. Pivotal Pruning of Trade-offs in QPNs
18. Analysing Sensitivity Data from Probabilistic Networks
19. Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments
20. Correction to: Persuasive Contrastive Explanations for Bayesian Networks
21. From Qualitative to Quantitative Probabilistic Networks
22. Upgrading Ambiguous Signs in QPNs
23. Evidence-invariant Sensitivity Bounds
24. Exploiting Evidence-dependent Sensitivity Bounds
25. Structure-Based Categorisation of Bayesian Network Parameters
26. Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains
27. A two-phase method for extracting explanatory arguments from Bayesian networks
28. Relevance of Evidence in Bayesian Networks
29. Explaining Bayesian Networks Using Argumentation
30. Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios
31. Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems
32. Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection
33. Evaluating Methods for Setting a Prior Probability of Guilt
34. Improving Rationales with Small, Inconsistent and Incomplete Data
35. Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research
36. Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios
37. Bayesian network conflict detection for normative monitoring of black-box systems
38. Improving Rationales with Small, Inconsistent and Incomplete Data
39. Normative Monitoring Using Bayesian Networks: Defining a Threshold for Conflict Detection
40. Evaluating Methods for Setting a Prior Probability of Guilt
41. Bayesian network conflict detection for normative monitoring of black-box systems
42. Efficient search for relevance explanations using MAP-independence in Bayesian networks
43. Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains
44. Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research
45. Using Agent-Based Simulations to Evaluate Bayesian Networks for Criminal Scenarios
46. What explains the difference between naive Bayesian classifiers and tree-augmented Bayesian network classifiers.
47. Abductive and Contrastive Explanations for Bayesian Networks and their Computational Complexity
48. Efficient search for relevance explanations using MAP-independence in Bayesian networks
49. Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts
50. Heterodox methods for interpretable and efficient AI (HMIEAI)
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