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cs.LG2024
Challenges in explaining deep learning models for data with biological variation
Lenka Tětková, Erik Schou Dreier, Robin Malm +1
Much machine learning research progress is based on developing models and evaluating them on a benchmark dataset (e.g., ImageNet for images). However, applying such benchmark-succe…
cs.LG2024
Knowledge graphs for empirical concept retrieval
Lenka Tětková, Teresa Karen Scheidt, Maria Mandrup Fogh +3
Concept-based explainable AI is promising as a tool to improve the understanding of complex models at the premises of a given user, viz.\ as a tool for personalized explainability.…