{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:37:10Z","timestamp":1777891030141,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313730","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"717-728","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":75,"title":["MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting"],"prefix":"10.1145","author":[{"given":"Chao","family":"Huang","sequence":"first","affiliation":[{"name":"University of Notre Dame, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuxu","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiashu","family":"Zhao","sequence":"additional","affiliation":[{"name":"JD.com, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"JD.com, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nitesh","family":"Chawla","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","author":"Bengio Samy","year":"2015","unstructured":"Samy Bengio , Oriol Vinyals , Navdeep Jaitly , and Noam Shazeer . 2015 . Scheduled sampling for sequence prediction with recurrent neural networks . In NIPS. 1171 - 1179 . Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In NIPS. 1171-1179.","journal-title":"NIPS."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209998"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971652"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.468"},{"key":"e_1_3_2_1_6_1","unstructured":"Junyoung Chung Caglar Gulcehre KyungHyun Cho 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555(2014).  Junyoung Chung Caglar Gulcehre KyungHyun Cho 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555(2014)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806645"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783329"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/0471722146"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298070"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983886"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271793"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.04.017"},{"key":"e_1_3_2_1_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014). Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2494091.2499774"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290995"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/2125163.2125192"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3182166"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3055130"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1200"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556218"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487673"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3015812.3015841"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983744"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080700"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.52"},{"key":"e_1_3_2_1_30_1","volume-title":"Time seriess forecasting using distribution enhanced linear regression","author":"Ristanoski Goce","unstructured":"Goce Ristanoski , Wei Liu , and James Bailey . 2013. Time seriess forecasting using distribution enhanced linear regression . In PAKDD. Springer , 484-495. Goce Ristanoski, Wei Liu, and James Bailey. 2013. Time seriess forecasting using distribution enhanced linear regression. In PAKDD. Springer, 484-495."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052588"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939736"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/2887007.2887052"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220096"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71246-8_38"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971685"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"e_1_3_2_1_39_1","series-title":"SIAM International Conference on Data Mining (SDM)","volume-title":"Deep learning: a generic approach for extreme condition traffic forecasting","author":"Yu Rose","unstructured":"Rose Yu , Yaguang Li , Ugur Demiryurek , Cyrus Shahabi , and Yan Liu . 2017. Deep learning: a generic approach for extreme condition traffic forecasting . In SIAM International Conference on Data Mining (SDM) . SIAM , 777-785. Rose Yu, Yaguang Li, Ugur Demiryurek, Cyrus Shahabi, and Yan Liu. 2017. Deep learning: a generic approach for extreme condition traffic forecasting. In SIAM International Conference on Data Mining (SDM). SIAM, 777-785."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098027"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052601"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2644828"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298239.3298479"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132996"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2122-1"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098143"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820813"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159682"}],"event":{"name":"WWW '19: The Web Conference","location":"San Francisco CA USA","acronym":"WWW '19","sponsor":["IW3C2 International World Wide Web Conference Committee"]},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313730","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:31Z","timestamp":1750204411000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313730"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":48,"alternative-id":["10.1145\/3308558.3313730","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313730","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}