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Range-Max Queries on Uncertain Data., , , and . PODS, page 465-476. ACM, (2016)Finding Smallest Witnesses for Conjunctive Queries., and . CoRR, (2023)Computing Shortest Paths in the Plane with Removable Obstacles., , , and . SWAT, volume 101 of LIPIcs, page 5:1-5:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Efficient Indexes for Diverse Top-k Range Queries., , and . PODS, page 213-227. ACM, (2020)Towards causal physical error discovery in video analytics systems., , , and . HILDA@SIGMOD, page 10:1-10:6. ACM, (2022)FairHash: A Fair and Memory/Time-efficient Hashmap., , and . Proc. ACM Manag. Data, 2 (3): 136 (2024)Range Entropy Queries and Partitioning., and . ICDT, volume 290 of LIPIcs, page 6:1-6:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions., , , and . ICDE, page 720-731. IEEE, (2021)Computing Complex Temporal Join Queries Efficiently., , , , and . SIGMOD Conference, page 2076-2090. ACM, (2022)Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing., , , and . SIGMOD Conference, page 1129-1141. ACM, (2021)