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Practical matters How to find us dr. C.S. (Charlotte) Vlek

dr. C.S. (Charlotte) Vlek

Curriculum developer/teacher
Publications

Publications

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 , p. 285-324

Research output: Contribution to journal › Article › Academic › peer-review

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 , p. 35-70

Research output: Contribution to journal › Article › Academic › peer-review

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 p.

Research output: Thesis › Thesis fully internal (DIV)

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 , p. 128-137

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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. (ed.). Amsterdam: IOS Press , p. 131-140 (Frontiers in Artificial Intelligence and Applications; vol. 279).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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 , p. 375-421 47 p.

Research output: Contribution to journal › Article › Academic › peer-review

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. (ed.). IOS Press , p. 103-112

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Hoe kansen in de rechtszaal terecht kwamen

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › 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 , p. 150-159 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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. (eds.). Dagstuhl: OASICS , p. 315-332 18 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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