Oversampling techniques for imbalanced data in regression
<p>Our study addresses the challenge of imbalanced regression data in Machine Learning (ML) by introducing tailored methods for different data structures. We adapt K-Nearest Neighbor Oversampling-Regression (KNNOR-Reg), originally for imbalanced classification, to address imbalanced regression...
Saved in:
| Main Author: | Samir Brahim Belhaouari (9427347) (author) |
|---|---|
| Other Authors: | Ashhadul Islam (16869981) (author), Khelil Kassoul (18441114) (author), Ala Al-Fuqaha (4434340) (author), Abdesselam Bouzerdoum (17900021) (author) |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
KNNOR: An oversampling technique for imbalanced datasets
by: Ashhadul Islam (16869981)
Published: (2021) -
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
by: Ashhadul Islam (16869981)
Published: (2022) -
The effects of data balancing approaches: A case study
by: Paul Mooijman (4453189)
Published: (2023) -
Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques
by: Vinod Kumar (48743)
Published: (2022) -
The automation of the development of classification models and improvement of model quality using feature engineering techniques
by: Sjoerd Boeschoten (17347045)
Published: (2023)