1. Concept drift adaptation by exploiting historical knowledge;sun;IEEE Transactions on Neural Networks and Learning Systems,2017
2. Adaptive convolutional elm for concept drift handling in online stream data;budiman,2016
3. Detecting and correcting for label shift with black box predictors;lipton,2018
4. Failing loudly: An empirical study of methods for detecting dataset shift;rabanser,2018
5. Learning to Validate the Predictions of Black Box Classifiers on Unseen Data