26 citations · 32 across the 7 of their papers we have counts for
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cs.LG2021
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Samuel Ackerman, Eitan Farchi, Orna Raz +2
Consider a structured dataset of features, such as . A user may want to know where in the feature space obser…
cs.LG2021★ 26 cited
FreaAI: Automated extraction of data slices to test machine learning models
Samuel Ackerman, Orna Raz, Marcel Zalmanovici
Machine learning (ML) solutions are prevalent. However, many challenges exist in making these solutions business-grade. One major challenge is to ensure that the ML solution provid…
cs.LG2021
Machine Learning Model Drift Detection Via Weak Data Slices
Samuel Ackerman, Parijat Dube, Eitan Farchi +2
Detecting drift in performance of Machine Learning (ML) models is an acknowledged challenge. For ML models to become an integral part of business applications it is essential to de…