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AutoSmart: An Efficient and Automatic Machine Learning framework for
  Temporal Relational Data

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

9 September 2021
Zhipeng Luo
Zhixing He
Jin Wang
Manqing Dong
Jianqiang Huang
Mingjian Chen
Bo Zheng
ArXiv (abs)PDFHTML

Papers citing "AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data"

3 / 3 papers shown
Title
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
84
60
0
18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
124
7
0
13 Mar 2024
From the Beginning: Key Transitions in the First 15 Years of DNSSEC
From the Beginning: Key Transitions in the First 15 Years of DNSSEC
E. Osterweil
Pouyan Fotouhi Tehrani
T. Schmidt
Matthias Wählisch
55
13
0
17 Sep 2021
1