Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams

Incremental Learning of Concept Drift in Nonstationary Environments

(2011) R. Elwell et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A robust incremental learning method for non-stationary environments

(2011) David Martínez-Rego et al.   NEUROCOMPUTING

Dynamic financial distress prediction using instance selection for the disposal of concept drift

(2010) Jie Sun et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification Using Streaming Random Forests

(2010) Hanady Abdulsalam et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

(2010) Mohammad Masud et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

: An adaptive classifier for data streams

(2010) N.G. Pavlidis et al.   PATTERN RECOGNITION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A joint investigation of misclassification treatments and imbalanced datasets on neural network performance

(2009) Jyh-shyan Lan et al.   NEURAL COMPUTING & APPLICATIONS