Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Self-Adaptive Windowing Approach for Handling Complex Concept Drift
Learning from time-changing data with adaptive windowing
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
Systematic data selection to mine concept-drifting data streams
a general framework for mining concept - drifting data streams with skewed distributions .
Approaches to adversarial drift
Adaptive Malicious URL Detection: Learning in the Presence of Concept Drifts
Novelty and redundancy detection in adaptive filtering
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Classifying Data Streams with Skewed Class Distributions and Concept Drifts
Adaptive Preprocessing for Streaming Data
dynamic weighted majority : an ensemble method for drifting concepts .
A general framework for adaptive processing of data structures
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift
Active Learning With Drifting Streaming Data
Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes
Sliding-window filtering: an efficient algorithm for incremental mining
A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts
Adaptive impulse detection using center-weighted median filters
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
Principles for characterizing the potential human health effects from exposure to nanomaterials: elements of a screening strategy
Face Verification via Learned Representation on Feature-Rich Video Frames
Robust Speech Recognition using DNN-HMM Acoustic Model Combining Noise-aware training with Spectral Subtraction