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Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

, , , , , , , , , и . Proc. VLDB Endow., 15 (12): 3598-3601 (2022)

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Ernst Banda

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Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation., , , , , , , , , и 16 other автор(ы). Proc. VLDB Endow., 14 (2): 154-162 (2020)End-to-end Optimization of Machine Learning Prediction Queries., , , , , и . SIGMOD Conference, стр. 587-601. ACM, (2022)Deep video-to-video transformations for accessibility with an application to photosensitivity., , и . Pattern Recognit. Lett., (2020)Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents., , , , , , , , и . CoRR, (2021)Large-Scale Intelligent Microservices., , , , , , , , , и . IEEE BigData, стр. 298-309. IEEE, (2020)Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem., , , , , , , , , и . Proc. VLDB Endow., 15 (12): 3598-3601 (2022)Query Processing on Tensor Computation Runtimes., , , , , , , , , и . Proc. VLDB Endow., 15 (11): 2811-2825 (2022)Schema Matching using Pre-Trained Language Models., , , , , , , и . ICDE, стр. 1558-1571. IEEE, (2023)