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Meike Nauta wins the Overijssel PhD Award for her thesis “Explainable AI and Interpretable Computer Vision - From Oversight to Insight.” The award is recognition of an outstanding dissertation. Congrats, Meike!

Key Publications

  • M. Nauta, J. Schlötterer, M. van Keulen, and C. Seifert, “PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification,” 2023, doi: 10.1109/CVPR52729.2023.00269.
  • M. Nauta, R. van Bree, and C. Seifert, “Neural Prototype Trees for Interpretable Fine-grained Image Recognition,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14933–14943, doi: 10.1109/CVPR46437.2021.01469.
  • M. Nauta et al., “From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI,” ACM Comput. Surv., Feb. 2023, doi: 10.1145/3583558.
  • M. Nauta, J. H. Hegeman, J. Geerdink, J. Schlötterer, M. van Keulen, and C. Seifert, “Interpreting and Correcting Medical Image Classification with PIP-Net,” in ECAI International Workshop on Explainable and Interpretable Machine Learning (XI-ML), Cham, 2023, pp. 198–215, doi: 10.1007/978-3-031-50396-2_11.