%0 Conference Paper %1 STDN_conf/aaai/YaoTWZL19 %A Yao, Huaxiu %A Tang, Xianfeng %A Wei, Hua %A Zheng, Guanjie %A Li, Zhenhui %B The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019 %D 2019 %I AAAI Press %K Time-series %P 5668--5675 %R 10.1609/aaai.v33i01.33015668 %T Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction %U https://doi.org/10.1609/aaai.v33i01.33015668

@inproceedings{STDN_conf/aaai/YaoTWZL19, added-at = {2023-06-23T19:07:03.000+0200}, author = {Yao, Huaxiu and Tang, Xianfeng and Wei, Hua and Zheng, Guanjie and Li, Zhenhui}, bibsource = {dblp computer science bibliography, https://dblp.org}, biburl = {https://www.bibsonomy.org/bibtex/214b7ae62f8e6fc375a0b4afb7e394867/andolab}, booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI} 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019}, doi = {10.1609/aaai.v33i01.33015668}, interhash = {93f8b1712b9ff11a3edf37254164bd2f}, intrahash = {14b7ae62f8e6fc375a0b4afb7e394867}, keywords = {Time-series}, pages = {5668--5675}, publisher = {{AAAI} Press}, timestamp = {2023-06-23T19:07:03.000+0200}, title = {Revisiting Spatial-Temporal Similarity: {A} Deep Learning Framework for Traffic Prediction}, url = {https://doi.org/10.1609/aaai.v33i01.33015668}, year = 2019 }