{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:05:45Z","timestamp":1773795945033,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Numerous sensors have been deployed in different geospatial locations to continuously and cooperatively monitor the surrounding environment, such as the air quality. These sensors generate multiple geo-sensory time series, with spatial correlations between their readings. Forecasting geo-sensory time series is of great importance yet very challenging as it is affected by many complex factors, i.e., dynamic spatio-temporal correlations and external factors. In this paper, we predict the readings of a geo-sensor over several future hours by using a multi-level attention-based recurrent neural network that considers multiple sensors' readings, meteorological data, and spatial data. More specifically, our model consists of two major parts: 1) a multi-level attention mechanism to model the dynamic spatio-temporal dependencies. 2) a general fusion module to incorporate the external factors from different domains. Experiments on two types of real-world datasets, viz., air quality data and water quality data, demonstrate that our method outperforms nine baseline methods.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/476","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"3428-3434","source":"Crossref","is-referenced-by-count":382,"title":["GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction"],"prefix":"10.24963","author":[{"given":"Yuxuan","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi'an, China"},{"name":"Urban Computing Business Unit, JD Finance, Beijing, China"}]},{"given":"Songyu","family":"Ke","sequence":"additional","affiliation":[{"name":"Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China"},{"name":"Urban Computing Business Unit, JD Finance, Beijing, China"}]},{"given":"Junbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Urban Computing Business Unit, JD Finance, Beijing, China"},{"name":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"}]},{"given":"Xiuwen","family":"Yi","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"},{"name":"Urban Computing Business Unit, JD Finance, Beijing, China"}]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[{"name":"Urban Computing Business Unit, JD Finance, Beijing, China"},{"name":"School of Computer Science and Technology, Xidian University, Xi'an, China"},{"name":"Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China"},{"name":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:53:12Z","timestamp":1530769992000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/476"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/476","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}