%0 Conference Paper %1 cheng2018neural %A Cheng, Weiyu %A Shen, Yanyan %A Zhu, Yanmin %A Huang, Linpeng %B AAAI %D 2018 %K air attention eva everyaware model network neural nn p2map quality %T A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations

@inproceedings{cheng2018neural, added-at = {2018-09-26T13:56:17.000+0200}, author = {Cheng, Weiyu and Shen, Yanyan and Zhu, Yanmin and Huang, Linpeng}, biburl = {https://www.bibsonomy.org/bibtex/25d99bba40ff4230931dc82b71ba2db74/becker}, booktitle = {AAAI}, description = {A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations - Semantic Scholar}, interhash = {2d88f05ae0f748793b86a50087f5eb0c}, intrahash = {5d99bba40ff4230931dc82b71ba2db74}, keywords = {air attention eva everyaware model network neural nn p2map quality}, timestamp = {2018-09-26T13:56:17.000+0200}, title = {A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations}, year = 2018 }