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C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks.

, , , , and . ICDM, page 1505-1510. IEEE, (2021)

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Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data., , and . KDD, page 984-992. ACM, (2018)Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers., , , , , , , and . SIGSPATIAL/GIS, page 357-366. ACM, (2020)COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks., , , , and . SIGSPATIAL/GIS, page 273-282. ACM, (2020)Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa., , , , and . BIBM, page 778-785. IEEE Computer Society, (2017)Direct incremental transmission of boundary representation., , and . Symposium on Solid Modeling and Applications, page 298-303. ACM, (2003)Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)., , , , , , and . IJCAI, page 5364-5368. ijcai.org, (2022)FAST: A Generic Framework for Flash-Aware Spatial Trees., , , and . SSTD, volume 6849 of Lecture Notes in Computer Science, page 149-167. Springer, (2011)STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19., , , , and . ICDM, page 1-10. IEEE, (2022)Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data., , , and . GLOBECOM, page 1-7. IEEE, (2018)Wireless information and power transfer: Architecture design and rate-energy tradeoff., , and . GLOBECOM, page 3982-3987. IEEE, (2012)