Exploring Data Augmentation and Active Learning Benefits in Imbalanced Datasets

This is the implementation of Signal Processing, Machine Learning, and Scientific Computing: Algorithms and Applications 2024 paper:
Exploring Data Augmentation and Active Learning Benefits in Imbalanced Datasets, which can be found in Mathematics.

This work was developed to analyze the effect of different Data Augmentation and Active Learning techniques on Imbalanced Datasets.

The code will be updated after carrying data cleaning processes.

Installation

1. Clone this repository (tested with Python 3.10.12).
2. Install the dependencies with pip.

pip install -r requirements.txt

Example of use

TBD

Cite This Work

TBD