Yanan Xin, Natasa Tagasovska, Fernando Perez-Cruz, Martin Raubal. Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. In Matthias Renz, Mohamed Sarwat, editors, Proceedings of the 30th International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2022, Seattle, Washington, November 1-4, 2022. ACM, 2022. [doi]
@inproceedings{XinTPR22,
title = {Vision paper: causal inference for interpretable and robust machine learning in mobility analysis},
author = {Yanan Xin and Natasa Tagasovska and Fernando Perez-Cruz and Martin Raubal},
year = {2022},
doi = {10.1145/3557915.3561473},
url = {https://doi.org/10.1145/3557915.3561473},
researchr = {https://researchr.org/publication/XinTPR22},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 30th International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2022, Seattle, Washington, November 1-4, 2022},
editor = {Matthias Renz and Mohamed Sarwat},
publisher = {ACM},
isbn = {978-1-4503-9529-8},
}