Feature Ranking by Variational dropout for Classification Using Thermograms from Diabetic Foot Ulcers
This project contains the code implemented in the paper Feature Ranking by Variational dropout for Classification Using Thermograms from Diabetic Foot Ulcers. The data presented in the work are available on request. The data are not publicly available due to privacy restrictions.
- Anaconda
- Git
- PyTorch
- version 1.8.0 or above
- Scikit-learn
- version 1.1.1 or above
- Matplotlib
- Pandas
This repository contains the following submodules:
In order to download the submodules in the cloning process, use the following instruction:
git clone --recurse-submodules [repository url]
If you find our library useful in your research, please consider citing us:
@article{tmp,
author={Hernandez-Guedes, Abian and Arteaga-Marrero, Natalia and Villa, Enrique and Callico, Gustavo M. and Ruiz-Alzola, Juan},
journal={Sensors},
title={Feature Ranking by Variational dropout for Classification Using Thermograms from Diabetic Foot Ulcers},
year={2023},
volume={},
number={},
pages={},
doi={}
}