%0 Conference Paper %1 Liang2018 %A Liang, Yuxuan %A Ke, Songyu %A Zhang, Junbo %A Yi, Xiuwen %A Zheng, Yu %B Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence %D 2018 %I International Joint Conferences on Artificial Intelligence Organization %K Applications: Deep Environmental Geometric, Knowledge Learning Learning: Machine Reasoning Reasoning: Representation Spatial, Streams Temporal Time-series;Data and %R 10.24963/ijcai.2018/476 %T GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction

@inproceedings{Liang2018, added-at = {2020-10-15T14:36:56.000+0200}, author = {Liang, Yuxuan and Ke, Songyu and Zhang, Junbo and Yi, Xiuwen and Zheng, Yu}, biburl = {https://www.bibsonomy.org/bibtex/2d9c5d676e80d5bec647c9336ee62d1af/annakrause}, booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence}, comment = {C}, doi = {10.24963/ijcai.2018/476}, file = {:Liang_ea_GeoMANMultilevelAttentionNetworksForGeosensoryTimeSeriesPrediction.pdf:PDF}, interhash = {112d2cd72491270752913968a7eedda1}, intrahash = {d9c5d676e80d5bec647c9336ee62d1af}, keywords = {Applications: Deep Environmental Geometric, Knowledge Learning Learning: Machine Reasoning Reasoning: Representation Spatial, Streams Temporal Time-series;Data and}, month = jul, publisher = {International Joint Conferences on Artificial Intelligence Organization}, timestamp = {2020-10-15T14:44:42.000+0200}, title = {{GeoMAN}: Multi-level Attention Networks for Geo-sensory Time Series Prediction}, year = 2018 }