Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Incremental Learning of Concept Drift in Nonstationary Environments
Learning with Drift Detection
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Learning in non-stationary environments with class imbalance
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Active Learning With Drifting Streaming Data
A Strategy for an Uncompromising Incremental Learner
How good is the Electricity benchmark for evaluating concept drift adaptation
Incremental Learning with Support Vector Machines
Continuous Learning in Single-Incremental-Task Scenarios
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection
Don't forget, there is more than forgetting: new metrics for Continual Learning
Reliable localized on-line learning in non-stationary environments
Queries and Concept Learning
Adaptive Malicious URL Detection: Learning in the Presence of Concept Drifts
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Fast Cross-Validation for Incremental Learning
Transcend: Detecting Concept Drift in Malware Classification Models
Meta Continual Learning
SVM incremental learning, adaptation and optimization
Learning to Teach
Online Ensemble Learning
Self-similarity of complex networks and hidden metric spaces
Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification