2 papers
cs.LG2024
Unifying Attribution-Based Explanations Using Functional Decomposition
Arne Gevaert, Yvan Saeys
The black box problem in machine learning has led to the introduction of an ever-increasing set of explanation methods for complex models. These explanations have different propert…
cs.CV2024
Evaluating Feature Attribution Methods in the Image Domain
Arne Gevaert, Axel-Jan Rousseau, Thijs Becker +3
Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth in popularity and avai…