Special Issue on Imbalanced Learning

Articles (7 in this collection)

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

   Authors

   • Gabriel Aguiar
   • Bartosz Krawczyk
   • Alberto Cano

   • Content type: OriginalPaper
   • Published: 29 June 2023

   

2. A survey of class-imbalanced semi-supervised learning

   Authors (first, second and last of 4)

   • Qian Gui
   • Hong Zhou
   • Baoning Niu

   • Content type: OriginalPaper
   • Published: 19 May 2023

   

3. Understanding CNN fragility when learning with imbalanced data

   Authors (first, second and last of 5)

   • Damien Dablain
   • Kristen N. Jacobson
   • Nitesh V. Chawla

   • Content type: OriginalPaper
   • Open Access
   • Published: 11 April 2023

   

4. Hellinger distance decision trees for PU learning in imbalanced data sets

   Authors

   • Carlos Ortega Vázquez
   • Seppe vanden Broucke
   • Jochen De Weerdt

   • Content type: OriginalPaper
   • Published: 28 March 2023

   

5. A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning

   Authors

   • Dina Elreedy
   • Amir F. Atiya
   • Firuz Kamalov

   • Content type: OriginalPaper
   • Open Access
   • Published: 05 January 2023

   

6. Automated imbalanced classification via layered learning

   Authors (first, second and last of 4)

   • Vitor Cerqueira
   • Luis Torgo
   • Colin Bellinger

   • Content type: OriginalPaper
   • Published: 28 December 2022

   • Pages: 2083 - 2104

   

7. The class imbalance problem in deep learning

   Authors (first, second and last of 6)

   • Kushankur Ghosh
   • Colin Bellinger
   • Nathalie Japkowicz

   • Content type: OriginalPaper
   • Published: 28 December 2022