544 citations · 599 across the 7 of their papers we have counts for
4 papers · 1 filter
Feature Attribution Explanations for Spiking Neural Networks
Elisa Nguyen, Meike Nauta, Gwenn Englebienne +1
Third-generation artificial neural networks, Spiking Neural Networks (SNNs), can be efficiently implemented on hardware. Their implementation on neuromorphic chips opens a broad ra…
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN
Una M. Kelly, Meike Nauta, Lu Liu +2
A morph is a combination of two separate facial images and contains identity information of two different people. When used in an identity document, both people can be authenticate…
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
Meike Nauta, Christin Seifert
Interpretable part-prototype models are computer vision models that are explainable by design. The models learn prototypical parts and recognise these components in an image, there…
Interpreting and Correcting Medical Image Classification with PIP-Net
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink +3
Part-prototype models are explainable-by-design image classifiers, and a promising alternative to black box AI. This paper explores the applicability and potential of interpretable…