( en | de | ru )

 

Disambiguation of "Zhou, Xun"

Author of the publication

copydeleteadd this publication to your clipboard
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa.

, , , , and . BIBM, page 778-785. IEEE Computer Society, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhou Zhou

Zhou Zhou

Xun Yu

Xun Wang

Xun Shi

 

Other publications of authors with the same name

Discovering interesting sub-paths in spatiotemporal datasets: a summary of results., , , , and . GIS, page 44-53. ACM, (2011)Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data., , , , and . SIGSPATIAL/GIS, page 34:1-34:10. ACM, (2017)Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach., , , , and . IWCTS@SIGSPATIAL, page 60-69. ACM, (2018)Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach., , and . GIScience, volume 7478 of Lecture Notes in Computer Science, page 132-145. Springer, (2012)Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks., , , , and . IEEE Communications Letters, 18 (7): 1183-1186 (2014)Guest Editorial: Special Issue on Analytics for Local Events and News., , and . GeoInformatica, 24 (2): 267-268 (2020)Experiences with evacuation route planning algorithms., , , , , , , , , and . Int. J. Geogr. Inf. Sci., 26 (12): 2253-2265 (2012)Effects of prefilmer edge configuration on primary liquid film breakup: A lattice Boltzmann study., , , , and . Comput. Math. Appl., (September 2023)Shadow prices and marginal abatement costs: Convex quantile regression approach., and . Eur. J. Oper. Res., 289 (2): 666-675 (2021)COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features., , , , and . ACM Trans. Intell. Syst. Technol., 13 (2): 27:1-27:23 (2022)