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STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations., , , and . CLUSTER, page 1-11. IEEE, (2019)Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery., , , and . IEEE BigData, page 359-367. IEEE, (2021)Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets., and . UCC, page 184-193. IEEE Computer Society, (2018)Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data., , , , and . Concurr. Comput. Pract. Exp., (2023)Alleviating Resource Requirements for Spatial Deep Learning Workloads., , , , , and . CCGRID, page 452-462. IEEE, (2022)Resource Efficient Profiling of Spatial Variability in Performance of Regression Models., , , , , , , and . IEEE Big Data, page 437-444. IEEE, (2022)Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets., , , , and . BDCAT, page 11:1-11:11. ACM, (2023)ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections., , , and . CLOUD, page 72-83. IEEE, (2023)Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks., , , , and . TransAI, page 89-96. IEEE, (2022)A Generative Approach to Visualizing Satellite Data., , , and . CLUSTER, page 815-816. IEEE, (2021)