Boost Ensemble Learning for Classification of CTG SIGNALS-Reference-Cited by-同舟云学术

Boost Ensemble Learning for Classification of CTG SIGNALS

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Ajirak Marzieh¹,Heiselman Cassandra²,Quirk J. Gerald²,Djuric Petar M.¹

Affiliation:

1. Stony Brook University,Gynecology and Reproductive Medicine,Department of Electrical and Computer Engineering,Stony Brook,NY,USA,11794

2. Stony Brook University,Gynecology and Reproductive Medicine,Department of Obstetrics,Stony Brook,NY,USA,11794

Publisher

IEEE

Link

Reference25 articles.

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5. Mesa: Boost ensemble imbalanced learning with meta-sampler;liu;Advances in neural information processing systems,2020

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