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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

Zhipeng Luo
Zhixing He
Jin Wang
Manqing Dong
Jianqiang Huang
Mingjian Chen
Bo Zheng
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Papers citing "AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data"

2 / 2 papers shown
Title
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
70
5
0
13 Mar 2024
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
612
0
13 Mar 2020