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Vadim A. Potemkin edited this page May 31, 2024 · 3 revisions
Title Abstract Reference
Automated machine learning approach for time series classification pipelines using evolutionary optimization In the article, we discuss our automated approach for time series classification. This approach uses evolutionary optimization to combine various feature extraction methods and classifiers into efficient pipelines. It achieves robust and lightweight solutions on the UEA/UCR benchmark, making it suitable for industrial applications and scientific studies. @article{revin2023automated, title={Automated machine learning approach for time series classification pipelines using evolutionary optimization}, author={Revin, Ilia and Potemkin, Vadim A and Balabanov, Nikita R and Nikitin, Nikolay O}, journal={Knowledge-Based Systems}, volume={268}, pages={110483}, year={2023}, publisher={Elsevier}}
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