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Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets., , , , , , and . SIGSPATIAL/GIS, page 313-323. ACM, (2021)Sailing in the location-based fairness-bias sphere., , , , , , , , and . SIGSPATIAL/GIS, page 41:1-41:10. ACM, (2022)CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels., , , , , and . IEEE BigData, page 1625-1632. IEEE, (2021)NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function., , and . CoRR, (2021)A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity., , , , , , and . ICDM, page 767-776. IEEE, (2021)Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework., , , , , , , , and . AAAI, page 12208-12216. AAAI Press, (2022)Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach., , , , , and . CoRR, (2024)MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification., , and . CVPR Workshops, page 1961-1970. Computer Vision Foundation / IEEE, (2021)Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)., , , , , , and . IJCAI, page 5364-5368. ijcai.org, (2022)Harnessing heterogeneity in space with statistically guided meta-learning., , , , , , , and . Knowl. Inf. Syst., 65 (6): 2699-2729 (June 2023)