Regression-based multisource conditional domain adaptation for policy outcome prediction
- DOI
- 10.1016/j.neunet.2025.108341
- Published
- 2026-04
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108341,
title = {Regression-based multisource conditional domain adaptation for policy outcome prediction},
author = {Qi Chang and Caijia Zhu and Liang Wu and Wei Lan and Desheng Zheng and Fengmao Lv},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2025.108341},
url = {https://doi.org/10.1016/j.neunet.2025.108341}
}RIS
TY - JOUR TI - Regression-based multisource conditional domain adaptation for policy outcome prediction AU - Qi Chang AU - Caijia Zhu AU - Liang Wu AU - Wei Lan AU - Desheng Zheng AU - Fengmao Lv PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2025.108341 UR - https://doi.org/10.1016/j.neunet.2025.108341 ER -
APA
Chang, Q., Zhu, C., Wu, L., Lan, W., Zheng, D., & Lv, F. (2026). Regression-based multisource conditional domain adaptation for policy outcome prediction. Neural Networks. https://doi.org/10.1016/j.neunet.2025.108341
Source records
- crossref · retrieved 2026-09-27T01:32:07.226Z