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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, E. Erhardt, C. Eseanu, S. Filipi, T. Finley, A. Goswami, M. Hoover, S. Inglis, M. Interlandi, S. Katzenberger, N. Kazmi, G. Krivosheev, P. Luferenko, I. Matantsev, S. Matusevych, S. Moradi, G. Nazirov, J. Ormont, G. Oshri, A. Pagnoni, J. Parmar, P. Roy, S. Shah, M. Siddiqui, M. Weimer, S. Zahirazami, and Y. Zhu. CoRR, (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)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)Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition.Y. Zhu, K. Gan, and Z. Yin. CoRR, (2022)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)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)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)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)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)Improving Age of Information in Large-Scale Energy Harvesting Networks.Y. Zhu, W. Zhang, Y. Lin, Y. Lo, and Y. Zhang. ICC Workshops, page 1173-1178. IEEE, (2023)

BibSonomy

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
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Machine Learning at Microsoft with ML .NET.