MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

@inproceedings{huang-2019-mist, author = {Chao Huang and Chuxu Zhang and Jiashu Zhao and Xian Wu and Nitesh V. Chawla and Dawei Yin}, editor = {Ling Liu and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting}}, booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {717--728}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308558.3313730}, doi = {https://doi.org/10.1145/3308558.3313730} }