27 citations · 78 across the 12 of their papers we have counts for
3 papers · 1 filter
Using sequential drift detection to test the API economy
Samuel Ackerman, Parijat Dube, Eitan Farchi
The API economy refers to the widespread integration of API (advanced programming interface) microservices, where software applications can communicate with each other, as a crucia…
Detection of data drift and outliers affecting machine learning model performance over time
Samuel Ackerman, Eitan Farchi, Orna Raz +2
A trained ML model is deployed on another `test' dataset where target feature values (labels) are unknown. Drift is distribution change between the training and deployment data, wh…
Sequential Drift Detection in Deep Learning Classifiers
Samuel Ackerman, Parijat Dube, Eitan Farchi
We utilize neural network embeddings to detect data drift by formulating the drift detection within an appropriate sequential decision framework. This enables control of the false…