Charlotte Vlek

Zoekresultaten

• 2016

  A method for explaining Bayesian networks for legal evidence with scenarios

  Vlek, C. S., Prakken, H., Renooij, S. & Verheij, B., 2016, In: Artificial Intelligence and Law. 24, 3, blz. 285-324

  Onderzoeksoutput › Academic › peer review

  Open Access

  Bestand
  45 Citaten (Scopus)

  358 Downloads (Pure)

• Arguments, scenarios and probabilities; connections between three normative frameworks for evidential reasoning

  Verheij, B., Bex, F., Timmer, S. T., Vlek, C., Meyer, J. J. C., Renooij, S. & Prakken, H., 2016, In: Law, Probability & Risk. 15, 1, blz. 35-70

  Onderzoeksoutput › Academic › peer review

  Open Access

  Bestand
  37 Citaten (Scopus)

  311 Downloads (Pure)

• When stories and numbers meet in court: Constructing and Explaining Bayesian Networks for Criminal Cases with Scenarios

  Vlek, C. S., 2016, [Groningen]: Rijksuniversiteit Groningen. 195 blz.

  Onderzoeksoutput: Thesis fully internal (DIV)

  Open Access

  Bestand
  381 Downloads (Pure)
• 2015

  Constructing and Understanding Bayesian Networks for Legal Evidence with Scenario Schemes

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 8-jun.-2015, Proceedings of the 15th International Conference on Artificial Intelligence and Law. New York, USA: ACM Press, blz. 128-137

  Onderzoeksoutput › Academic › peer review

  Open Access

  Bestand
  8 Citaten (Scopus)

  267 Downloads (Pure)

• Representing the quality of crime scenarios in a Bayesian network

  Vlek, C. S., Prakken, H., Renooij, S. & Verheij, B., 2015, Legal Knowledge and Information Systems: JURIX 2015: The Twenty-eighth Annual Conference. Rotolo, A. (redactie). Amsterdam: IOS Press, blz. 131-140 (Frontiers in Artificial Intelligence and Applications; vol. 279).

  Onderzoeksoutput › Academic

  Open Access

  Bestand
  4 Citaten (Scopus)

  6 Downloads (Pure)
• 2014

  Building Bayesian Networks for Legal Evidence with Narratives: a Case Study Evaluation

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 2014, In: Artificial Intelligence and Law. 22, 4, blz. 375-421 47 blz.

  Onderzoeksoutput › Academic › peer review
  31 Citaten (Scopus)

• Extracting scenarios from a Bayesian network as explanations for legal evidence

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 2014, Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference. Hoekstra, R. (redactie). IOS Press, blz. 103-112

  Onderzoeksoutput › Academic › peer review
  3 Citaten (Scopus)
• 2013

  Hoe kansen in de rechtszaal terecht kwamen

  Vlek, C., 2013, Nederland in ideëen . van Opijnen, T. & Geels, M. (redactie). Amsterdam: Maven Publishing

  Onderzoeksoutput › Popular

• Modeling crime scenarios in a Bayesian Network

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 2013, Proceedings of the 14th International Conference on Artificial Intelligence and Law (ICAIL 2013). New York (New York): ACM Press, blz. 150-159 10 blz.

  Onderzoeksoutput › Academic › peer review

  Bestand
  32 Citaten (Scopus)

  365 Downloads (Pure)

• Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian network

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 2013, Proceedings of the 2013 Workshop on Computational Models of Narrative (CMN 2013). Finlayson, M. A., Fisseni, B., Löwe, B. & Meister, J. C. (redactie). Dagstuhl: OASICS, blz. 315-332 18 blz.

  Onderzoeksoutput › Academic › peer review

  Bestand
  4 Citaten (Scopus)

  96 Downloads (Pure)

• Unfolding crime scenarios with variations: a method for building a Bayesian network for legal narratives

  Vlek, C., Prakken, H., Renooij, S. & Verheij, B., 2013, blz. 145-154. 10 blz.

  Onderzoeksoutput: Paper › Academic

  Bestand
  3 Citaten (Scopus)

  107 Downloads (Pure)