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Machine Learning at Microsoft with ML.NET.

Z. Ahmed, S. Amizadeh, M. Bilenko, R. Carr, W. Chin, Y. Dekel, X. Dupré, V. Eksarevskiy, S. Filipi, T. Finley, A. Goswami, M. Hoover, S. Inglis, M. Interlandi, N. Kazmi, G. Krivosheev, P. Luferenko, I. Matantsev, S. Matusevych, S. Moradi, G. Nazirov, J. Ormont, G. Oshri, A. Pagnoni, J. Parmar, P. Roy, M. Siddiqui, M. Weimer, S. Zahirazami, and Y. Zhu. KDD, page 2448-2458. ACM, (2019)

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Yiwen Xu

Yiwen Li Hegner

Junjiang Zhu

Yiping Zhu

Changbao Zhu

Other publications of authors with the same name

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.F. Psallidas, Y. Zhu, B. Karlas, J. Henkel, M. Interlandi, S. Krishnan, B. Kroth, K. Emani, W. Wu, C. Zhang 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.Y. Zhu, K. Gan, and Z. Yin. CoRR, (2022)Data Science through the looking glass and what we found there.F. Psallidas, Y. Zhu, B. Karlas, M. Interlandi, A. Floratou, K. Karanasos, W. Wu, C. Zhang, S. Krishnan, C. Curino and 1 other author(s). CoRR, (2019)Vamsa: Automated Provenance Tracking in Data Science Scripts.M. Namaki, A. Floratou, F. Psallidas, S. Krishnan, A. Agrawal, Y. Wu, Y. Zhu, and M. Weimer. KDD, page 1542-1551. ACM, (2020)Machine Learning at Microsoft with ML .NET.Z. Ahmed, S. Amizadeh, M. Bilenko, R. Carr, W. Chin, Y. Dekel, X. Dupré, V. Eksarevskiy, E. Erhardt, C. Eseanu and 24 other author(s). CoRR, (2019)Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.L. Shao, Y. Zhu, S. Liu, A. Eswaran, K. Lieber, J. Mahajan, M. Thigpen, S. Darbha, S. Krishnan, S. Srinivasan and 2 other author(s). SoCC, page 441-452. ACM, (2019)Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.Z. Wang, Y. Zhu, Z. Chen, J. Zhang, and W. Du. Appl. Intell., 49 (8): 3109-3122 (2019)Phoebe: A Learning-based Checkpoint Optimizer.Y. Zhu, M. Interlandi, A. Roy, K. Das, H. Patel, M. Bag, H. Sharma, and A. Jindal. Proc. VLDB Endow., 14 (11): 2505-2518 (2021)Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.O. Poppe, T. Amuneke, D. Banda, A. De, A. Green, M. Knoertzer, E. Nosakhare, K. Rajendran, D. Shankargouda, M. Wang and 16 other author(s). Proc. VLDB Endow., 14 (2): 154-162 (2020)KEA: Tuning an Exabyte-Scale Data Infrastructure.Y. Zhu, S. Krishnan, K. Karanasos, I. Tarte, C. Power, A. Modi, M. Kumar, D. Zhang, K. Muthyala, N. Jurgens and 5 other author(s). SIGMOD Conference, page 2667-2680. ACM, (2021)

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Disambiguation of "Zhu, Yiwen"

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Machine Learning at Microsoft with ML.NET.

Please choose a person to relate this publication to

Yiwen Xu

Yiwen Li Hegner

Junjiang Zhu

Yiping Zhu

Changbao Zhu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhu, Yiwen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning at Microsoft with ML.NET.

Please choose a person to relate this publication to

Yiwen Xu

Yiwen Li Hegner

Junjiang Zhu

Yiping Zhu

Changbao Zhu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Machine Learning at Microsoft with ML.NET.