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SEIZE: Runtime Inspection for Parallel Dataflow Systems., , , , and . IEEE Trans. Parallel Distributed Syst., 32 (4): 842-854 (2021)OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs., , , , , , , , and . CoRR, (2022)Extending Relational Query Processing with ML Inference., , , , , , , , , and 3 other author(s). CIDR, www.cidrdb.org, (2020)Extending Relational Query Processing with ML Inference., , , , , , , , , and 3 other author(s). CoRR, (2019)Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts., , , , , , , , , and 1 other author(s). SIGMOD Conference Companion, page 123-126. ACM, (2023)Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML., , , , , , , , , and 12 other author(s). CIDR, www.cidrdb.org, (2020)Physical Plan Instrumentation in Databases: Mechanisms and Applications.. Columbia University, USA, (2019)OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs., , , , , , , , and . Proc. VLDB Endow., 16 (12): 3662-3675 (2023)NL2SQL is a solved problem... Not!, , , , , , , , , and 10 other author(s). CIDR, www.cidrdb.org, (2024)Effective Event Identification in Social Media., , , and . IEEE Data Eng. Bull., 36 (3): 42-50 (2013)