Robust methods for explaining classifiers and data Date:March 30, 2020 Abstract: Real-world datasets are often characterised by outliers, points far from the majority of the points, which might negatively influence modelling of the data. In data analysis it is hence important to use methods that are robust to outliers. We have developed a robust regression [...]
Helsinki Institute for Information Technology HIIT,
Robust methods for explaining classifiers and…