2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2022★ 1 cited
Model Agnostic Local Explanations of Reject
André Artelt, Roel Visser, Barbara Hammer
The application of machine learning based decision making systems in safety critical areas requires reliable high certainty predictions. Reject options are a common way of ensuring…
cs.LG2022★ 2 cited
Explaining Reject Options of Learning Vector Quantization Classifiers
André Artelt, Johannes Brinkrolf, Roel Visser +1
While machine learning models are usually assumed to always output a prediction, there also exist extensions in the form of reject options which allow the model to reject inputs wh…