Personal

Silja Renooij

http://campus.extension.org/course/view.php?id=125

Context

Links


Dale Carnegie:

"T
here are always three speeches, for every one you actually gave. The one you practiced, the one you gave, and the one you wish you gave."

Presentations

Conference and workshop presentations


The following lists all presentations of accepted papers and abstracts I gave at conferences and workshops. This list does not include presentations delivered by co-authors (see my publications page for all conference and workshop contributions), nor does it include invited/keynote lectures (see Invited presentations below).
  1. Relevance for robust Bayesian network MAP-explanations. International Conference on Probabilistic Graphical Models (PGM), 2022. (plenary oral presentation)

  2. Persuasive contrastive explanations. Workshop on Explainable Logic-based Knowledge Represenation (XLoKR), 2021. (online plenary oral presentation; co-located with KR 2021)

  3. Persuasive contrastive explanations for Bayesian networks. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2021. (online plenary oral presentation)

  4. Building causal interaction models by recursive unfolding. International Conference on Probabilistic Graphical Models (PGM), 2020. (online plenary oral and poster presentation)

  5. On intercausal interactions in Probabilistic Relational Models. International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA), 2019. (plenary oral and poster presentation)

  6. Same-Decision Probability: threshold robustness and application to explanation. International Conference on Probabilistic Graphical Models (PGM), 2018. (plenary oral presentation)

  7. Structure-based categorisation of Bayesian network parameters. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2017. (plenary oral presentation; including ISIPTA audience)

  8. Evidence evaluation: a study of likelihoods and independence. International Conference on Probabilistic Graphical Models (PGM), 2016. (plenary oral presentation)

  9. Relevance of Evidence in Bayesian Networks. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2015. (oral presentation)

  10. Generalised co-variation for sensitivity analysis in Bayesian networks. European Workshop on Probabilistic Graphical Models (PGM), 2012. (plenary oral presentation and plenary poster presentation)

  11. Efficient sensitivity analysis in HMMs. Benelux Conference on Artificial Intelligence (BNAIC), 2011. (oral presentation)

  12. Bayesian network sensitivity to arc-removal. European Workshop on Probabilistic Graphical Models (PGM), 2010. (plenary oral presentation and plenary poster presentation)

  13. Efficient sensitivity analysis in hidden Markov models. European Workshop on Probabilistic Graphical Models (PGM), 2010. (plenary oral presentation and plenary poster presentation)

  14. When in doubt ... be indecisive. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2009. (oral presentation)

  15. Discrimination and its sensitivity in probabilistic networks. Workshop on Probabilistic Graphical Models (PGM), 2008. (plenary oral presentation)

  16. Evidence and scenario sensitivities in naive Bayesian classifiers. Workshop on Probabilistic Graphical Models (PGM), 2006. (plenary oral presentation)

  17. Lattices for studying monotonicity of Bayesian networks. Workshop on Probabilistic Graphical Models (PGM), 2006. (plenary poster presentation)

  18. Exploiting evidence-dependent sensitivity bounds. Conference on Uncertainty in Artificial Intelligence (UAI), 2005. (plenary poster presentation)

  19. On the sensitivity of probabilistic networks to test reliability. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2004. (oral presentation)

  20. Forecast verification and the uncertain truth. Belgium-Netherlands Conference on Artificial Intelligence (BNAIC), 2004. (oral presentation)

  21. Using kappas as indicators of strength in qualitative probabilistic networks. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2003. (oral presentation)

  22. Upgrading ambiguous signs in QPNs. Conference on Uncertainty in Artificial Intelligence (UAI), 2003. (plenary oral presentation)

  23. Propagation of multiple observations in QPNs revisited. European Conference on Artificial Intelligence (ECAI), 2002. (oral presentation)

  24. From qualitative to quantitative probabilistic networks. Conference on Uncertainty in Artificial Intelligence (UAI), 2002. (plenary poster presentation)

  25. Using kappas as indicators of strength in QPNs. Belgium-Netherlands Conference on Artificial Intelligence (BNAIC), 2002. (oral presentation)

  26. Analysing sensitivity data from probabilistic networks. Conference on Uncertainty in Artificial Intelligence (UAI), 2001. (plenary poster presentation)

  27. Context-specific sign-propagation in qualitative probabilistic networks. International Joint Conference on Artificial Intelligence (IJCAI), 2001. (oral presentation)

  28. Evaluation scores for probabilistic networks. Belgium-Netherlands Conference on Artificial Intelligence (BNAIC), 2001. (oral presentation)

  29. A verbal-numerical probability scale. SPUDM (Subjective Probability, Utility and Decision Making) 2001. (oral presentation)

  30. Propagation of multiple observations in qualitative probabilistic networks. Belgium-Netherlands Conference on Artificial Intelligence (BNAIC), 2000. (oral presentation)

  31. Zooming in on trade-offs in qualitative probabilistic networks. International FLAIRS Conference, 2000 (oral presentation)

  32. Pivotal pruning of trade-offs in QPNs. Conference on Uncertainty in Artificial Intelligence (UAI), 2000. (plenary poster presentation)

  33. Exploiting non-monotonic influences in qualitative belief networks. Belgium-Netherlands Conference on Artificial Intelligence (BNAIC), 1999. (oral presentation)

  34. How to elicit many probabilities. Conference on Uncertainty in Artificial Intelligence (UAI), 1999. (plenary oral presentation)

  35. Enhancing QPNs for trade-off resolution. Conference on Uncertainty in Artificial Intelligence (UAI), 1999. (plenary poster presentation)

  36. Beslissen op basis van verbale en numerieke waarschijnlijkheden. Abstract in het supplement Zevende NVP Wintercongres, 1999. (oral presentation)

  37. Decision making in qualitative influence diagrams. International FLAIRS Conference, 1998. (oral presentation)

  38. Decision making in qualitative influence diagrams. Dutch Conference on Artificial Intelligence (NAIC), 1997. (oral presentation)

Invited presentations

  1. At the Nordic Probabilistic AI School, June 17 2024 in Copenhagen, Denmark: module Introduction to Probabilistic Models
  2. At the RAIL Lab workshop on Human Computer Interaction, March 22 in 'de Inktpot' in Utrecht: Explainable AI and the user: the perspective of a typical(?) computer scientist
  3. At the Nordic Probabilistic AI School, June 12 2023 in Trondheim, Norway: module Introduction to Probabilistic Models
  4. At the 10th Annual BayesiaLab conference, October 2022 (online): Persuasive contrastive explanations for Bayesian networks 🎦
  5. At the 15th International SUM conference, October 2022 in Paris: Surfing the waves of explanation
  6. At BNAIC/BENELEARN 2019, Brussel, November 7, 2019: Explainable AI: explain what to whom? (FACts-presentation: FACulty focusing on the FACts of Artificial Intelligence (TED-like))
  7. At SIKS course on Knowledge Representation and Reasoning: Foundations and Applications, Mitland Hotel, Utrecht, April 10, 2018: Bayesian networks for reasoning under uncertainty
  8. At Methodology and Statistics Data Science Lab meeting, Social Sciences, Utrecht University, May 11, 2017: Bayesian Networks and Sensitivity Analysis
  9. At Workshop Beyond a Reasonable Doubt: Scenarios and Bayesian Networks for Analyzing Forensic Evidence, October 27, 2016: Beyond a reasonable doubt...within a margin of error?
  10. At Workshop Forensische relevantie van Bayesiaanse netwerken, April 17, 2015: Bayesian Network Basics
  11. At FUGRO Intersite, March 27, 2014: Intelligent Systems at a Glance
  12. At SYSTeMS, Ghent University, June 12, 2013: Co-variation for Sensitivity Analysis in Bayesian Networks: properties, consequences and alternatives
  13. At SNN Adaptive Intelligence, Radboud University Nijmegen, November 28, 2001: Probability Elicitation for Probabilistic Networks
  14. At the Department of Electronic Engineering, Queen Mary and Westfield College, University of London, June 28, 1999: Enrichments of Qualitative Probabilistic Networks

Other presentations

  • Numerous presentations at internal seminars, colloquia and research days.
  • Presentations about research for high school students (Rectors League)
  • Presentation From Qualitative to Quantitative Probabilistic Networks for NWO-EW in the context of a site visit, April 2, 2003.
  • Guest lectures in Technical AI courses 'Caleidoscoop TKI' and 'Inleiding TKI', 1998/1999 and 2001/2002.
  • Presentation for the Board of SIKS in the context of a site visit, June 12, 1997.