A hypothesis-driven responsible AI framework for interpretable ESG forecasting with RuleFit
- DOI
- 10.1038/s41598-026-47870-3
- Published
- 2026-04-28
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-47870-3,
title = {A hypothesis-driven responsible AI framework for interpretable ESG forecasting with RuleFit},
author = {Tufail Muhammad and Rubab Hafeez and Waqas Bin Khidmat and Mehtab Afzal and Fazeel Abid and Harun Elkiran and Ahmet Gurhanli and Jawad Rasheed},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-47870-3},
url = {https://doi.org/10.1038/s41598-026-47870-3}
}RIS
TY - JOUR TI - A hypothesis-driven responsible AI framework for interpretable ESG forecasting with RuleFit AU - Tufail Muhammad AU - Rubab Hafeez AU - Waqas Bin Khidmat AU - Mehtab Afzal AU - Fazeel Abid AU - Harun Elkiran AU - Ahmet Gurhanli AU - Jawad Rasheed PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-47870-3 UR - https://doi.org/10.1038/s41598-026-47870-3 ER -
APA
Muhammad, T., Hafeez, R., Khidmat, W. B., Afzal, M., Abid, F., Elkiran, H., Gurhanli, A., & Rasheed, J. (2026). A hypothesis-driven responsible AI framework for interpretable ESG forecasting with RuleFit. Scientific Reports. https://doi.org/10.1038/s41598-026-47870-3
Source records
- crossref · retrieved 2026-09-25T23:53:14.150Z