articles and talks
- PyData Yerevan 2022: The Explainability Problem (summary) (video)
- Towards Data Science: Explainable AI (XAI) With Class Maps
publications
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Artificial Intelligence:
- (2022) Security of AI-Systems: Fundamentals - Provision or use of external data or trained models Bundesamt für Sicherheit in der Informationstechnik.
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Statistical Methods in Hydrogeology:
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(2022) Defining Hydrogeological Site Similarity with Hierarchical Agglomerative Clustering. Groundwater. Kawa, N., Cucchi, K., Rubin, Y., Attinger, S. and Heße, F.
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(2021) exPrior: An R Package for the Formulation of Ex-Situ Priors. The RJournal. Falk Heße, Karina Cucchi, Nura Kawa and Yoram Rubin.
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(2019) Ex-situ priors: A Bayesian hierarchical framework for defining informative prior distributions in hydrogeology. Advances in Water Resources. Cucchi, K., Heße, F., Kawa, N., Wang, C., & Rubin, Y.
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