| Context-Aware Drift Detection | Mar 16, 2022 | Drift Detection | CodeCode Available | 4 |
| Frouros: A Python library for drift detection in machine learning systems | Aug 14, 2022 | Drift Detection | CodeCode Available | 2 |
| A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams | Apr 21, 2021 | Anomaly DetectionDrift Detection | CodeCode Available | 1 |
| Standardized Evaluation of Machine Learning Methods for Evolving Data Streams | Apr 28, 2022 | BIG-bench Machine LearningDrift Detection | CodeCode Available | 1 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 |
| Adaptive XGBoost for Evolving Data Streams | May 15, 2020 | Drift DetectionGeneral Classification | CodeCode Available | 1 |
| Class Distribution Monitoring for Concept Drift Detection | Oct 16, 2022 | Change DetectionDrift Detection | CodeCode Available | 1 |
| Active Anomaly Detection via Ensembles | Sep 17, 2018 | Active LearningAnomaly Detection | CodeCode Available | 1 |
| Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning | Jan 23, 2019 | Active LearningAnomaly Detection | CodeCode Available | 1 |
| Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time | Jun 24, 2024 | Drift Detection | CodeCode Available | 1 |
| Concept Drift Detection via Equal Intensity k-means Space Partitioning | Apr 24, 2020 | Change DetectionDrift Detection | CodeCode Available | 1 |
| CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI | Feb 6, 2022 | Drift Detection | CodeCode Available | 1 |
| Federated Learning under Distributed Concept Drift | Jun 1, 2022 | ClusteringDrift Detection | CodeCode Available | 1 |
| AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks | Sep 14, 2023 | Drift DetectionIntrusion Detection | —Unverified | 0 |
| A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification | Oct 10, 2022 | Drift DetectionIncremental Learning | —Unverified | 0 |
| A Novel Incremental Clustering Technique with Concept Drift Detection | Mar 30, 2020 | ClusteringDrift Detection | —Unverified | 0 |
| Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study | Nov 23, 2022 | Drift DetectionManagement | —Unverified | 0 |
| WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? | Oct 13, 2024 | Decision MakingDecoder | —Unverified | 0 |
| An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling | Oct 1, 2017 | Drift Detection | —Unverified | 0 |
| An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams | Aug 26, 2018 | Continual LearningDrift Detection | —Unverified | 0 |
| AMUSE: Adaptive Model Updating using a Simulated Environment | Dec 13, 2024 | Drift Detectionmodel | —Unverified | 0 |
| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams | Nov 22, 2023 | Autonomous DrivingDrift Detection | —Unverified | 0 |
| A Conformance Checking-based Approach for Drift Detection in Business Processes | Jul 9, 2019 | BenchmarkingDrift Detection | —Unverified | 0 |
| Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining | Sep 20, 2020 | Drift Detection | —Unverified | 0 |
