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Showing results 1 to 8 of 8

1
Automated Data Slicing for Model Validation: A Big data - AI Integration Approach

Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.32, no.12, pp.2284 - 2296, 2020-12

2
Data Lifecycle Challenges in Production Machine Learning: A Survey

Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, SIGMOD RECORD, v.47, no.2, pp.17 - 28, 2018-06

3
Data management challenges in production machine learning

Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, 2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017, pp.1723 - 1726, ACM Special Interest Group on Management of Data (SIGMOD), 2017-05

4
Data Validation for Machine Learning

Breck, Eric; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, 3rd Conference on Machine Learning and Systems (MLSys), Stanford University, 2019-04-02

5
Goods: Organizing Google's datasets

Halevy, Alon; Korn, Flip; Noy, Natalya F.; Olston, Christopher; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong, 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, pp.795 - 806, ACM Special Interest Group on Management of Data (SIGMOD), 2016-06

6
Managing Google’s data lake: an overview of the Goods system

Halevy, Alon; Korn, Flip; Noy, Natalya F.; Olston, Christopher; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong, IEEE Data Engineering Bulletin, v.39, no.3, pp.5 - 14, 2016-09

7
Slice Finder: Automated Data Slicing for Model Validation

Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, 35th IEEE International Conference on Data Engineering, ICDE 2019, pp.1550 - 1553, IEEE Computer Society, 2019-04

8
TFX: A TensorFlow-based production-scale machine learning platform

Baylor, Denis; Breck, Eric; Cheng, Heng-Tze; Fiedel, Noah; Foo, Chuan Yu; Haque, Zakaria; Haykal, Salem; et al, 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, pp.1387 - 1395, ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2017-08

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