| Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic | Dec 4, 2020 | Drift Detection | —Unverified | 0 |
| Estimating Model Performance Under Covariate Shift Without Labels | Jan 16, 2024 | Drift Detectionmodel | —Unverified | 0 |
| Automatic Learning to Detect Concept Drift | May 4, 2021 | Active LearningDrift Detection | —Unverified | 0 |
| Automating concept-drift detection by self-evaluating predictive model degradation | Jul 18, 2019 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| Autoregressive based Drift Detection Method | Mar 9, 2022 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting | Sep 26, 2023 | Computational EfficiencyDrift Detection | —Unverified | 0 |
| Beta Distribution Drift Detection for Adaptive Classifiers | Nov 27, 2018 | Drift DetectionGeneral Classification | —Unverified | 0 |
| Bilevel Online Deep Learning in Non-stationary Environment | Jan 25, 2022 | Bilevel OptimizationDeep Learning | —Unverified | 0 |
| CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream | Mar 25, 2023 | Drift DetectionFault Diagnosis | —Unverified | 0 |
| Cluster Analysis and Concept Drift Detection in Malware | Feb 19, 2025 | ClusteringDrift Detection | —Unverified | 0 |
