A survey on concept drift adaptation

UCI Machine Learning Repository

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Offline and Online Learning Techniques for Personalized Blood Pressure Prediction and Health Behavior Recommendations

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Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical AnalysisPreprint

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CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining

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On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection

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Virtual Sensors: Toward High-Resolution Air Pollution Monitoring using AI and IoT

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One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data

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Knowledge Graph Embeddings for Dealing with Concept Drift in Machine Learning

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Enhancing IoT Sensors Precision Through Sensor Drift Calibration With Variational Autoencoder

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Confidence guided anomaly detection model for anti-concept drift in dynamic logs

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Using spectral entropy and bernoulli map to handle concept drift

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Data Streams Are Time Series: Challenging Assumptions

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Change Detection in Multivariate Datastreams Controlling False Alarms

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Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World

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Latency and Energy-Awareness in Data Stream Processing for Edge Based IoT Systems

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Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions

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Handling Concept Drifts Using Dynamic Selection of Classifiers

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A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority

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Batchwise Patching of Classifiers

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Clustering in the Presence of Concept Drift

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Run-time evaluation of architectures: A case study of diversification in IoT

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Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling

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In-Line Predictive Monitoring Framework

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Mind the Gap

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Outlier Detection in Data Streams — A Comparative Study of Selected Methods

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Hierarchical classification of data streams: a systematic literature review

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Adversarial RL-Based IDS for Evolving Data Environment in 6LoWPAN

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Data Stream Classification Based on the Gamma Classifier

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Rough extreme learning machine: A new classification method based on uncertainty measure

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TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation

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An adaptive rainfall-runoff model for daily runoff prediction under the changing environment: Stream-LSTM

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Deep anomaly detection for time series: A survey

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A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research

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Cipher, the Random and the Ransom: A Survey on Current and Future Ransomware

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Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers’ Compensation Claimants with Musculoskeletal Conditions

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Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)

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Unsupervised concept drift detection based on multi-scale slide windows

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From Weakly Supervised Learning to Biquality Learning: an Introduction

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