Search Results for author:
Found 1 papers, 0 papers with code
Understanding Interpretability by generalized distillation in Supervised Classification
The ability to interpret decisions taken by Machine Learning (ML) models is fundamental to encourage trust and reliability in different practical applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
