23 citations · 23 across the 3 of their papers we have counts for
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stat.ML2024
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
Prototypical self-explainable classifiers have emerged to meet the growing demand for interpretable AI systems. These classifiers are designed to incorporate high transparency in t…
stat.ML2022★ 23 cited
Data Representativity for Machine Learning and AI Systems
Line H. Clemmensen, Rune D. Kjærsgaard
Data representativity is crucial when drawing inference from data through machine learning models. Scholars have increased focus on unraveling the bias and fairness in models, also…