Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary
Keywords
Repository
Gradient Boosted Neural Network - Multi Output
Basic Info
- Host: GitHub
- Owner: GAA-UAM
- License: lgpl-2.1
- Language: Python
- Default Branch: main
- Homepage: https://www.esann.org/sites/default/files/proceedings/2022/ES2022-95.pdf
- Size: 173 KB
Statistics
- Stars: 5
- Watchers: 4
- Forks: 1
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Gradient Boosted Neural Network-Multi-Output
Gradient Boosted Neural Network-Multi-Output or GBNN-MO model is a novel training procedure for shallow and deep neural networks. The GBNN-MO is specifically developed for single and multi-output regression problems. The GBNN-MO is developed over the GBNN model.
About
The focus of this package is to provide related examples of the paper's experiments and results. You can reproduce our paper's results with the help of this package.
The described and developed method is based on the GBNN paper. The main algorithm and codes are stored here.
install
To run the examples of this package, you have to install the GBNN package from here.
bash
pip install gbnn
Citation
To cite the paper, use the following BibTex format
txt
@inproceedings{DBLP:conf/esann/EmamiM22,
author = {Seyedsaman Emami and
Gonzalo Mart{\'{\i}}nez{-}Mu{\~{n}}oz},
title = {Multioutput Regression Neural Network Training via Gradient Boosting},
booktitle = {30th European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning, {ESANN} 2022, Bruges, Belgium,
October 5-7, 2022},
year = {2022},
url = {https://doi.org/10.14428/esann/2022.ES2022-95},
doi = {10.14428/esann/2022.ES2022-95}
}
Key members of Gradient Boosted Neural Network - Multi Output
GBNN Version
0.0.2
Updated
01 Jul 2022
Date-released
01 Jan 2022
Owner
- Name: Grupo de Aprendizaje Automático - Universidad Autónoma de Madrid
- Login: GAA-UAM
- Kind: organization
- Location: Madrid, Spain
- Website: http://arantxa.ii.uam.es/~gaa/
- Repositories: 7
- Profile: https://github.com/GAA-UAM
Machine Learning Group at Universidad Autónoma de Madrid
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this package, please cite it as below." authors: - family-names: "Emami" given-names: "Seyedsaman" orcid: "https://orcid.org/0000-0002-6306-1180" - family-names: "Martínez-Muñoz" given-names: "Gonzalo" orcid: "https://orcid.org/0000-0002-6125-6056" title: "Gradient Boosted Neural Network-Multi-Output" version: 0.0.1 date-released: 2022-01-01 url: "https://github.com/GAA-UAM/GBNN-MO"