{"total":38,"rows":[{"id":"2107.01873","title":"Detecting Concept Drift With Neural Network Model Uncertainty","created":"2021-07-05","cited_by_count":22,"area":null},{"id":"2407.05375","title":"Online Drift Detection with Maximum Concept Discrepancy","created":"2024-07-07","cited_by_count":12,"area":null},{"id":"2311.06396","title":"A comprehensive analysis of concept drift locality in data streams","created":"2023-11-10","cited_by_count":10,"area":null},{"id":"2109.03011","title":"LEAF: Navigating Concept Drift in Cellular Networks","created":"2021-09-07","cited_by_count":9,"area":null},{"id":"2412.11158","title":"Early Concept Drift Detection via Prediction Uncertainty","created":"2024-12-15","cited_by_count":8,"area":null},{"id":"2505.14903","title":"When to retrain a machine learning model","created":"2025-05-20","cited_by_count":8,"area":null},{"id":"2310.04216","title":"Cost-Effective Retraining of Machine Learning Models","created":"2023-10-06","cited_by_count":7,"area":null},{"id":"2310.15826","title":"One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments","created":"2023-10-24","cited_by_count":7,"area":null},{"id":"2205.12311","title":"Fast & Furious: Modelling Malware Detection as Evolving Data Streams","created":"2022-05-24","cited_by_count":6,"area":null},{"id":"2203.04769","title":"Autoregressive based Drift Detection Method","created":"2022-03-09","cited_by_count":4,"area":null},{"id":"2412.10545","title":"Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams","created":"2024-12-13","cited_by_count":3,"area":null},{"id":"2410.01386","title":"FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2512.07082","title":"TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization","created":"2025-12-08","cited_by_count":2,"area":null},{"id":"2103.14079","title":"Domain Specific Concept Drift Detectors for Predicting Financial Time Series","created":"2021-03-22","cited_by_count":1,"area":null},{"id":"2207.13287","title":"Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System","created":"2022-07-27","cited_by_count":1,"area":null},{"id":"2208.06868","title":"Frouros: A Python library for drift detection in machine learning systems","created":"2022-08-14","cited_by_count":1,"area":null},{"id":"2211.01840","title":"LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices","created":"2022-11-03","cited_by_count":1,"area":null},{"id":"2212.05250","title":"Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics","created":"2022-12-10","cited_by_count":1,"area":null},{"id":"2402.12627","title":"A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2404.01109","title":"An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks","created":"2024-04-01","cited_by_count":1,"area":null},{"id":"2503.06606","title":"Interpretable Model Drift Detection","created":"2025-03-09","cited_by_count":1,"area":null},{"id":"2606.20216","title":"Learner-based Concept Drift Detection: Analysis and Evaluation","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2202.00070","title":"Implicit Concept Drift Detection for Multi-label Data Streams","created":"2022-01-31","cited_by_count":0,"area":null},{"id":"2205.06507","title":"Precise Change Point Detection using Spectral Drift Detection","created":"2022-05-13","cited_by_count":0,"area":null},{"id":"2311.13374","title":"An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams","created":"2023-11-22","cited_by_count":0,"area":null},{"id":"2404.07860","title":"Streaming detection of significant delay changes in public transport systems","created":"2024-04-11","cited_by_count":0,"area":null},{"id":"2405.08637","title":"Drift Detection: Introducing Gaussian Split Detector","created":"2024-05-14","cited_by_count":0,"area":null},{"id":"2408.14682","title":"Detecting Interpretable Subgroup Drifts","created":"2024-08-26","cited_by_count":0,"area":null},{"id":"2409.03669","title":"A method to benchmark high-dimensional process drift detection","created":"2024-09-05","cited_by_count":0,"area":null},{"id":"2412.11308","title":"From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection","created":"2024-12-15","cited_by_count":0,"area":null},{"id":"2512.12289","title":"Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2512.12785","title":"OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2601.08928","title":"DriftGuard: A Hierarchical Framework for Concept Drift Detection and Remediation in Supply Chain Forecasting","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2603.09024","title":"When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2609.04388","title":"Candidate Comparability Before Promotion: Conditional Validation in Adaptive Network Intrusion Detection","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.05298","title":"Online Change-point Detection for Cooperative Multi-Agent Reinforcement Learning","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.09432","title":"SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2610.05853","title":"The Blind Spot Paradox: When Adaptive Classifiers Defeat Drift Detectors","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}