Shashi Shekhar

Tang, X., Gupta, J., & Shekhar, S. (2019). Linear Hotspot Discovery on All Simple Paths: A Summary of Results. In SIGSPATIAL ’19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 4). http://doi.org/10.1145/3347146.3359100

Tang, X., Eftelioglu, E., Oliver, D., & Shekhar, S. (2017). Significant Linear Hotspot Discovery. IEEE Transactions on Big Data, 3(2), 14. http://doi.org/10.1109/TBDATA.2016.2631518

Jiang, Z., Li, Y., Shekhar, S., Rampi, L. P., & Knight, J. K. (2017). Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. In 23rd International Conference on Advances in GIS , ACM SIGSPATIAL (Vol. 23). http://doi.org/10.1145/3139958.3140044

Xie, Y., Eftelioglu, E., Ali, R., Tang, X., Li, Y., Doshi, R., & Shekhar, S. (2017). Transdisciplinary Foundations of Geospatial Data Science. ISPRS International Journal of Geo-Information, 6(12), 1. http://doi.org/10.3390/ijgi6120395

Xie, Y., Gupta, J., Li, Y., & Shekhar, S. (2018). Transforming Smart Cities with Spatial Computing. In 2018 IEEE International Smart Cities Conference (ISC2) (p. 9). http://doi.org/10.1109/ISC2.2018.8656800

Xie, Y., Bao, H., Shekhar, S., & Knight, J. (2018). A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. In 2018 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/ICDM.2018.00183

Xie, Y., Bhojwani, R., Shekhar, S., & Knight, J. (2018). An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3274895.3274901

Gil, Y., Hill, M., Horel, J., Hsu, L., Kinter, J., Knoblock, C., … Gomes, C. (2018). Intelligent systems for geosciences: an essential research agenda. Communications of the ACM, 62(1), 9. http://doi.org/10.1145/3192335

Yang, C., Clarke, K., Shekhar, S., & Tao, C. V. (2019). Big Spatiotemporal Data Analytics: a research and innovation frontier. International Journal of Geographical Information Science, 14. http://doi.org/10.1080/13658816.2019.1698743

Xie, Y., Cai, J., Bhojwani, R., Shekhar, S., & Knight, J. (2019). A locally-constrained YOLO framework for detecting small and densely-distributed building footprints. International Journal of Geographical Information Science, 25. http://doi.org/10.1080/13658816.2019.1624761