Over-sampling imbalanced datasets using the Covariance Matrix

Leguen-deVarona, Ireimis and Madera, Julio and Martínez-López, Yoan and Hernández-Nieto, José (2020) Over-sampling imbalanced datasets using the Covariance Matrix. EAI Endorsed Transactions on Energy Web.

[thumbnail of 38273.pdf] PDF
38273.pdf
Download (1MB)

Abstract

INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets,
leading to the miss-classification of the minority class. One of the state-of-the-art approaches to ”solve” this
problem at the data level is Synthetic Minority Over-sampling Technique (SMOTE) which in t

Item Type: Article
Date Deposited: 04 Mar 2026 13:12
Last Modified: 11 Apr 2026 23:01
URI: http://eprints.eai.eu/id/eprint/28634

Actions (login required)

View Item
View Item