| Federated Learning under Distributed Concept Drift | Jun 1, 2022 | ClusteringDrift Detection | CodeCode Available | 1 | 5 |
| Concept Drift Detection via Equal Intensity k-means Space Partitioning | Apr 24, 2020 | Change DetectionDrift Detection | CodeCode Available | 1 | 5 |
| Adaptive XGBoost for Evolving Data Streams | May 15, 2020 | Drift DetectionGeneral Classification | CodeCode Available | 1 | 5 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| A Framework for Explainable Concept Drift Detection in Process Mining | May 27, 2021 | Drift Detection | CodeCode Available | 0 | 5 |
| Bayesian Autoencoders for Drift Detection in Industrial Environments | Jul 28, 2021 | Drift Detection | CodeCode Available | 0 | 5 |
| A Synthetic Benchmark to Explore Limitations of Localized Drift Detections | Aug 26, 2024 | Drift Detection | CodeCode Available | 0 | 5 |
| A probability theoretic approach to drifting data in continuous time domains | Dec 4, 2019 | Change Point DetectionDrift Detection | CodeCode Available | 0 | 5 |
| A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data | May 23, 2024 | ClassificationDrift Detection | CodeCode Available | 0 | 5 |
| Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift | Jun 9, 2025 | Drift Detection | CodeCode Available | 0 | 5 |
