IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems

Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation

(2020) Anjin Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

A pdf-Free Change Detection Test Based on Density Difference Estimation

(2018) Li Bu et al.   IEEE Transactions on Neural Networks and Learning Systems

Concept Drift Adaptation by Exploiting Historical Knowledge

(2018) Yu Sun et al.   IEEE Transactions on Neural Networks and Learning Systems

Online Bagging and Boosting for Imbalanced Data Streams

(2016) Boyu Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds

(2015) Isvani Frias-Blanco et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

A comparative study on concept drift detectors

(2014) Paulo M. Gonçalves et al.   EXPERT SYSTEMS WITH APPLICATIONS

Just-In-Time Classifiers for Recurrent Concepts

(2013) C. Alippi et al.   IEEE Transactions on Neural Networks and Learning Systems

Mining Recurring Concepts in a Dynamic Feature Space

(2013) Joao Bartolo Gomes et al.   IEEE Transactions on Neural Networks and Learning Systems

Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm

(2013) Dariusz Brzezinski et al.   IEEE Transactions on Neural Networks and Learning Systems

On evaluating stream learning algorithms

(2012) João Gama et al.   MACHINE LEARNING

Incremental Learning From Stream Data

(2011) Haibo He et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Incremental Learning of Concept Drift in Nonstationary Environments

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

Truncated Importance Sampling

(2008) Edward L Ionides   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario

(2007) S. De Vito et al.   SENSORS AND ACTUATORS B-CHEMICAL