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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines., , , , , , , , , and 4 other author(s). SIGMOD Rec., 51 (2): 30-37 (2022)Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition., , and . CoRR, (2022)Data Science through the looking glass and what we found there., , , , , , , , , and 1 other author(s). CoRR, (2019)Vamsa: Automated Provenance Tracking in Data Science Scripts., , , , , , , and . KDD, page 1542-1551. ACM, (2020)Multi-matrices entropy discriminant ensemble learning for imbalanced problem., , , , , and . Neural Comput. Appl., 32 (12): 8245-8264 (2020)Machine Learning at Microsoft with ML.NET., , , , , , , , , and 20 other author(s). KDD, page 2448-2458. ACM, (2019)Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML., , , , , , , , , and 12 other author(s). CoRR, (2019)Age-of-Information Dependent Random Access for Periodic Updating., , , , and . CoRR, (2023)FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition., , , , , and . IEEE J. Biomed. Health Informatics, 25 (7): 2533-2544 (2021)Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud., , , , , , , , , and 1 other author(s). Proc. VLDB Endow., 15 (12): 3509-3521 (2022)