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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

, , , , , , , , , , , , , и . SIGMOD Rec., 51 (2): 30-37 (2022)

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Alexander Karlas

Wolfgang Karlas

Dubravko Bojanovski

Bojan Peri

Bojan Savic

 

Другие публикации лиц с тем же именем

DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , и 28 other автор(ы). CoRR, (2023)Ease.ML: A Lifecycle Management System for Machine Learning., , , , , , , , , и 10 other автор(ы). CIDR, www.cidrdb.org, (2021)Building Continuous Integration Services for Machine Learning., , , , , , , , , и . KDD, стр. 2407-2415. ACM, (2020)Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines., , , , , , , , , и 4 other автор(ы). SIGMOD Rec., 51 (2): 30-37 (2022)Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines., , , , , , и . CoRR, (2022)Data Science through the looking glass and what we found there., , , , , , , , , и 1 other автор(ы). CoRR, (2019)End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines., , , , , , , , и . CoRR, (2020)Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment., , , , , , и . MLSys, mlsys.org, (2019)Multi-device, Multi-tenant Model Selection with GP-EI., , , , и . CoRR, (2018)Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions., , , , , , и . Proc. VLDB Endow., 14 (3): 255-267 (2020)