| Hetero-convlstm: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data Z Yuan, X Zhou, T Yang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 469 | 2018 |
| Spatiotemporal data mining: A computational perspective S Shekhar, Z Jiang, RY Ali, E Eftelioglu, X Tang, VMV Gunturi, X Zhou ISPRS International Journal of Geo-Information 4 (4), 2306-2338, 2015 | 271 | 2015 |
| A machine learning approach for air quality prediction: Model regularization and optimization D Zhu, C Cai, T Yang, X Zhou Big data and cognitive computing 2 (1), 5, 2018 | 206 | 2018 |
| Encyclopedia of GIS, 2nd Edition S Shekhar, H Xiong, X Zhou | 189* | 2017 |
| Task scheduling in deadline-aware mobile edge computing systems T Zhu, T Shi, J Li, Z Cai, X Zhou IEEE Internet of Things Journal 6 (3), 4854-4866, 2018 | 172 | 2018 |
| The rich and the poor: A Markov decision process approach to optimizing taxi driver revenue efficiency H Rong, X Zhou, C Yang, Z Shafiq, A Liu Proceedings of the 25th ACM international on conference on information and …, 2016 | 108 | 2016 |
| Experiences with evacuation route planning algorithms S Shekhar, KS Yang, VMV Gunturi, L Manikonda, D Oliver, X Zhou, ... International Journal of Geographical Information Science 26 (12), 2253-2265, 2012 | 102 | 2012 |
| Predicting traffic accidents through heterogeneous urban data: A case study Z Yuan, X Zhou, T Yang, J Tamerius, R Mantilla Proceedings of the 6th International Workshop on Urban Computing (UrbComp …, 2017 | 79 | 2017 |
| Curb-gan: Conditional urban traffic estimation through spatio-temporal generative adversarial networks Y Zhang, Y Li, X Zhou, X Kong, J Luo Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 62 | 2020 |
| Optimizing taxi driver profit efficiency: A spatial network-based markov decision process approach X Zhou, H Rong, C Yang, Q Zhang, AV Khezerlou, H Zheng, Z Shafiq, ... IEEE Transactions on Big Data 6 (1), 145-158, 2018 | 62 | 2018 |
| Focal-test-based spatial decision tree learning Z Jiang, S Shekhar, X Zhou, J Knight, J Corcoran IEEE Transactions on Knowledge and Data Engineering 27 (6), 1547-1559, 2014 | 60 | 2014 |
| Predicting traffic congestion propagation patterns: A propagation graph approach H Xiong, A Vahedian, X Zhou, Y Li, J Luo Proceedings of the 11th ACM SIGSPATIAL international workshop on …, 2018 | 58 | 2018 |
| Spatiotemporal change footprint pattern discovery: an inter‐disciplinary survey X Zhou, S Shekhar, RY Ali Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (1), 1-23, 2014 | 56 | 2014 |
| A traffic flow approach to early detection of gathering events: Comprehensive results AV Khezerlou, X Zhou, L Li, Z Shafiq, AX Liu, F Zhang ACM Transactions on Intelligent Systems and Technology (TIST) 8 (6), 1-24, 2017 | 55 | 2017 |
| Precipitation effects on motor vehicle crashes vary by space, time, and environmental conditions JD Tamerius, X Zhou, R Mantilla, T Greenfield-Huitt Weather, Climate, and Society 8 (4), 399-407, 2016 | 53 | 2016 |
| Spatial big data MR Evans, D Oliver, X Zhou, S Shekhar Big Data: Techniques and Technologies in Geoinformatics, 149, 2014 | 51 | 2014 |
| A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam 2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021 | 50 | 2021 |
| Ring-shaped hotspot detection: A summary of results E Eftelioglu, S Shekhar, D Oliver, X Zhou, MR Evans, Y Xie, JM Kang, ... 2014 IEEE International Conference on Data Mining, 815-820, 2014 | 47 | 2014 |
| Enabling spatial big data via CyberGIS: Challenges and opportunities MR Evans, D Oliver, KS Yang, X Zhou, RY Ali, S Shekhar CyberGIS for geospatial discovery and innovation, 143-170, 2019 | 46 | 2019 |
| Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data A Vahedian, X Zhou, L Tong, Y Li, J Luo 25th ACM SIGSPATIAL International Conference on Advances in Geographic …, 2017 | 43 | 2017 |
Shashi ShekharMcKnight Distinguished University Professor of Computer Science, University of MinnesotaBestätigte E-Mail-Adresse bei umn.edu
