Human-Centered Explanations: Lessons Learned from Image Classification for Medical and Clinical Decision Making
B Finzel - KI-Künstliche Intelligenz, 2024 - Springer
To date, there is no universal explanatory method for making decisions of an AI-based
system transparent to human decision makers. This is because, depending on the …
system transparent to human decision makers. This is because, depending on the …
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX
Explanations for Convolutional Neural Networks (CNNs) based on relevance of input pixels
might be too unspecific to evaluate which and how input features impact model decisions …
might be too unspecific to evaluate which and how input features impact model decisions …
Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification
Abstract Model revision is a challenging task in image classification. It is usually performed
to correct the predictions of misclassified examples. Support examples, which are similar to …
to correct the predictions of misclassified examples. Support examples, which are similar to …