Targeting Social Assistance Beneficiaries Using Machine Learning: A Poverty Probability-Based Approach Ciblage des bénéficiaires de l'aide sociale par l'apprentissage automatique: Une approche fondée sur la probabilité de pauvreté
- DOI
- 10.5281/zenodo.17074353
- Published
- 2025-09
- Container
- International Journal of Accounting, Finance, Auditing, Management and Economics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.17074353,
title = {Targeting Social Assistance Beneficiaries Using Machine Learning: A Poverty Probability-Based Approach Ciblage des bénéficiaires de l'aide sociale par l'apprentissage automatique: Une approche fondée sur la probabilité de pauvreté},
author = {Chaymae Sahraoui and Tarek Zari},
year = {2025},
journal = {International Journal of Accounting, Finance, Auditing, Management and Economics},
doi = {10.5281/zenodo.17074353},
url = {https://doi.org/10.5281/zenodo.17074353}
}RIS
TY - JOUR TI - Targeting Social Assistance Beneficiaries Using Machine Learning: A Poverty Probability-Based Approach Ciblage des bénéficiaires de l'aide sociale par l'apprentissage automatique: Une approche fondée sur la probabilité de pauvreté AU - Chaymae Sahraoui AU - Tarek Zari PY - 2025 JO - International Journal of Accounting, Finance, Auditing, Management and Economics DO - 10.5281/zenodo.17074353 UR - https://doi.org/10.5281/zenodo.17074353 ER -
APA
Sahraoui, C., & Zari, T. (2025). Targeting Social Assistance Beneficiaries Using Machine Learning: A Poverty Probability-Based Approach Ciblage des bénéficiaires de l'aide sociale par l'apprentissage automatique: Une approche fondée sur la probabilité de pauvreté. International Journal of Accounting, Finance, Auditing, Management and Economics. https://doi.org/10.5281/zenodo.17074353
Source records
- hal · retrieved 2026-11-10T08:49:29.215Z