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Imbalanced classification: a paradigm-based review
v1v2 (latest)

Imbalanced classification: a paradigm-based review

Statistical analysis and data mining (Stat. Anal. Data Min.), 2020
11 February 2020
Yang Feng
Min Zhou
Xin Tong
ArXiv (abs)PDFHTML

Papers citing "Imbalanced classification: a paradigm-based review"

5 / 5 papers shown
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad
Mohammadreza M. Kalan
François Portier
Gilles Stupfler
145
1
0
23 Oct 2025
Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets
Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small PlanetsAstronomical Journal (AJ), 2025
Amílcar R. Torres-Quijano
Natalie R. Hinkel
Caleb H. Wheeler III
Patrick A. Young
Luan Ghezzi
Augusto P. Baldo
104
1
0
24 Feb 2025
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text
  Data
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data
Ismail Hakki Karaman
Gulser Koksal
Levent Eriskin
Salih Salihoğlu
421
2
0
01 Nov 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Joanna Komorniczak
Pawel Ksieniewicz
278
1
0
09 Feb 2024
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
324
4
0
13 Dec 2021
1
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