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

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

7 April 2022

Gabriel J. Aguiar

Bartosz Krawczyk

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

13 / 13 papers shown

Title
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks Kleanthis Malialis S. Filippou C. Panayiotou Marios M. Polycarpou AI4TS 34 0 0 06 Apr 2025
Imbalanced malware classification: an approach based on dynamic classifier selection J. V. S. Souza C. B. Vieira G. D. C. Cunha R. M. O. Cruz 59 0 0 30 Mar 2025
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre Homayoun Najjaran 45 0 0 04 Nov 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions Jiaqi Luo Yuan Yuan Shixin Xu AI4CE 41 2 0 19 Jul 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants Abdoulaye Sakho Emmanuel Malherbe Erwan Scornet 38 2 0 06 Feb 2024
A Historical Context for Data Streams Indrė Žliobaitė Jesse Read AI4TS AI4CE 11 0 0 18 Oct 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 30 40 0 17 Feb 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 47 12 0 16 Dec 2022
The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams A. Lipska J. Stefanowski AI4TS 9 1 0 15 Oct 2022
Nonstationary data stream classification with online active learning and siamese neural networks Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 16 31 0 03 Oct 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 31 20 0 13 Jul 2022
A Broad Ensemble Learning System for Drifting Stream Classification Sepehr Bakhshi Pouya Ghahramanian Hamed Bonab Fazli Can 32 10 0 07 Oct 2021
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification J. Grzyb J. Klikowski Michal Wo'zniak 25 28 0 30 Jan 2021