Work

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Year: 2023

Type: article

Source: Machine Learning

DOI: 10.1007/s10994-023-06353-6

Authors: Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano

Institution: Virginia Commonwealth University

Language: English

Topic: Data Stream Mining Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Virginia Commonwealth University, Amazon Catalyst, High Performance Research Computing, Texas A and M University

OpenAlex ID: W4382516701

FWCI: 14.25

Cites: 162

Cited by: 167

Related to: 10