| Real-time Drift Detection on Time-series Data | Oct 12, 2021 | Drift DetectionTime Series | —Unverified | 0 | 0 |
| Reliable and Interpretable Drift Detection in Streams of Short Texts | May 28, 2023 | Change Point DetectionDrift Detection | —Unverified | 0 | 0 |
| Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels | Jun 25, 2018 | AttributeDrift Detection | —Unverified | 0 | 0 |
| Scalable Drift Monitoring in Medical Imaging AI | Oct 17, 2024 | Drift Detection | —Unverified | 0 | 0 |
| Sequential Drift Detection in Deep Learning Classifiers | Jul 31, 2020 | Change DetectionDeep Learning | —Unverified | 0 | 0 |
| Suitability of Different Metric Choices for Concept Drift Detection | Feb 19, 2022 | Drift Detection | —Unverified | 0 | 0 |
| Targeted Attention for Generalized- and Zero-Shot Learning | Nov 17, 2022 | AttributeDomain Adaptation | —Unverified | 0 | 0 |
| Towards AutoML in the presence of Drift: first results | Jul 24, 2019 | AutoMLDrift Detection | —Unverified | 0 | 0 |
| Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models | Sep 7, 2023 | Drift Detection | —Unverified | 0 | 0 |
| Using sequential drift detection to test the API economy | Nov 9, 2021 | Drift Detection | —Unverified | 0 | 0 |
| Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic | Dec 4, 2020 | Drift Detection | —Unverified | 0 | 0 |
| Estimating Model Performance Under Covariate Shift Without Labels | Jan 16, 2024 | Drift Detectionmodel | —Unverified | 0 | 0 |
| You are out of context! | Nov 4, 2024 | Computational EfficiencyDensity Estimation | —Unverified | 0 | 0 |
| Flexible and Efficient Drift Detection without Labels | Jun 10, 2025 | Drift Detection | —Unverified | 0 | 0 |
| A Conformance Checking-based Approach for Drift Detection in Business Processes | Jul 9, 2019 | BenchmarkingDrift Detection | —Unverified | 0 | 0 |
| Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory | Apr 19, 2023 | Drift Detectionregression | —Unverified | 0 | 0 |
| Adversarial Attacks for Drift Detection | Nov 25, 2024 | Drift Detection | —Unverified | 0 | 0 |
| Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining | Sep 20, 2020 | Drift Detection | —Unverified | 0 | 0 |
| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 | 0 |
| A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification | Oct 10, 2022 | Drift DetectionIncremental Learning | —Unverified | 0 | 0 |
| AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks | Sep 14, 2023 | Drift DetectionIntrusion Detection | —Unverified | 0 | 0 |
| Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction | Apr 17, 2023 | Click-Through Rate PredictionDiversity | —Unverified | 0 | 0 |
| A Model Drift Detection and Adaptation Framework for 5G Core Networks | Aug 8, 2022 | Drift DetectionManagement | —Unverified | 0 | 0 |
| A monitoring framework for deployed machine learning models with supply chain examples | Nov 11, 2022 | Drift Detection | —Unverified | 0 | 0 |
| AMUSE: Adaptive Model Updating using a Simulated Environment | Dec 13, 2024 | Drift Detectionmodel | —Unverified | 0 | 0 |