A multi-source data fusion model for air quality inference with hybrid supervised and self-supervised learning and adaptive feature importance estimation.

Meng Xu|Weijian Hu|Ke Han|Wen Ji


Anthology ID:DBLP:journals/ipm/XuHHJ26
Year:2026
Venue:Information Processing and Management
Pages:104474
URL:https://doi.org/10.1016/J.IPM.2025.104474
DOI:https://doi.org/10.1016/J.IPM.2025.104474
DBLP:journals/ipm/XuHHJ26
BibTeX:
@article{xu-2026-multisource, author = {Meng Xu and Weijian Hu and Ke Han and Wen Ji}, title = {{A multi-source data fusion model for air quality inference with hybrid supervised and self-supervised learning and adaptive feature importance estimation}}, journal = {Information Processing and Management}, volume = {63}, number = {2}, pages = {104474}, year = {2026}, url = {https://doi.org/10.1016/J.IPM.2025.104474}, doi = {https://doi.org/10.1016/J.IPM.2025.104474} }