A novel ensemble framework driven by diversity and cooperativity for non-stationary data stream classification

ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams

(2022) Alberto Cano et al.   MACHINE LEARNING

When Does Diversity Help Generalization in Classification Ensembles?

(2021) Yijun Bian et al.   IEEE Transactions on Cybernetics

Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases

(2020) Michela Carlotta Massi et al.   BMC Medical Informatics and Decision Making

An association-based evolutionary ensemble method of variable selection

(2019) Jin Cheng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Diversity measure as a new drift detection method in data streaming

(2019) Osama A. Mahdi et al.   KNOWLEDGE-BASED SYSTEMS

Kappa Updated Ensemble for drifting data stream mining

(2019) Alberto Cano et al.   MACHINE LEARNING

A non-canonical hybrid metaheuristic approach to adaptive data stream classification

(2019) Hossein Ghomeshi et al.   Future Generation Computer Systems-The International Journal of eScience

New diversity measure for data stream classification ensembles

(2018) Konrad Jackowski   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Vote-boosting ensembles

(2018) Maryam Sabzevari et al.   PATTERN RECOGNITION

An iterative boosting-based ensemble for streaming data classification

(2018) João Roberto Bertini Junior et al.   Information Fusion

Adaptive random forests for evolving data stream classification

(2017) Heitor M. Gomes et al.   MACHINE LEARNING

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift

(2016) Yange Sun et al.   International Journal of Distributed Sensor Networks

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

DDD: A New Ensemble Approach for Dealing with Concept Drift

(2011) Leandro L. Minku et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING