output
20172025
most citedMachine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry

121 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.AI2023★ 13 cited

Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability

Georgii Mikriukov, Gesina Schwalbe, Christian Hellert +1

Analysis of how semantic concepts are represented within Convolutional Neural Networks (CNNs) is a widely used approach in Explainable Artificial Intelligence (XAI) for interpretin…