| Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation | Oct 4, 2018 | Drift DetectionTime Series | —Unverified | 0 |
| Active Anomaly Detection via Ensembles | Sep 17, 2018 | Active LearningAnomaly Detection | CodeCode Available | 1 |
| An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams | Aug 26, 2018 | Continual LearningDrift Detection | —Unverified | 0 |
| Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels | Jun 25, 2018 | AttributeDrift Detection | —Unverified | 0 |
| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| Handling Adversarial Concept Drift in Streaming Data | Mar 24, 2018 | Active LearningDrift Detection | —Unverified | 0 |
| McDiarmid Drift Detection Methods for Evolving Data Streams | Oct 5, 2017 | Drift DetectionGeneral Classification | CodeCode Available | 0 |
| An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling | Oct 1, 2017 | Drift Detection | —Unverified | 0 |
| Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams | Sep 7, 2017 | Computer SecurityDrift Detection | CodeCode Available | 0 |
| An Ensemble Classification Algorithm Based on Information Entropy for Data Streams | Aug 11, 2017 | ClassificationDrift Detection | CodeCode Available | 0 |
