TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection-Reference-Cited by-同舟云学术

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TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
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Author:

Mu Tianyu¹,Wang Hongzhi¹,Zheng Shenghe¹,Liang Zhiyu¹,Wang Chunnan¹,Shao Xinyue¹,Liang Zheng¹

Affiliation:

1. Harbin Institute of Technology,School of Computer Science,Harbin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184850.pdf?arnumber=10184850

Reference42 articles.

1. Highly Comparative Feature-Based Time-Series Classification

2. Random search for hyper-parameter optimization;bergstra;Journal of Machine Learning Research,2012

3. Assassin

4. Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly;kandasamy;Journal of Machine Learning Research,2020

5. Meta-Learning

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models;Neural Computing and Applications;2024-04-01

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