Yu-En Chang, Hsun-Ping Hsie. An Interpretable Deep Learning Framework for Assessing Financial Potential of Urban Spaces. In Xiaofeng Meng 0001, Fusheng Wang 0001, Chang-Tien Lu, Yan Huang 0002, Shashi Shekhar, Xing Xie 0001, editors, SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021. pages 678-679, ACM, 2021. [doi]
@inproceedings{ChangH21-2,
title = {An Interpretable Deep Learning Framework for Assessing Financial Potential of Urban Spaces},
author = {Yu-En Chang and Hsun-Ping Hsie},
year = {2021},
doi = {10.1145/3474717.3486810},
url = {https://doi.org/10.1145/3474717.3486810},
researchr = {https://researchr.org/publication/ChangH21-2},
cites = {0},
citedby = {0},
pages = {678-679},
booktitle = {SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021},
editor = {Xiaofeng Meng 0001 and Fusheng Wang 0001 and Chang-Tien Lu and Yan Huang 0002 and Shashi Shekhar and Xing Xie 0001},
publisher = {ACM},
isbn = {978-1-4503-8664-7},
}