Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features-Reference-Cited by-同舟云学术

Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features

Published:2023-02 Issue: Volume:167 Page:112972
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Lahmiri Salim,Tadj Chakib,Gargour Christian,Bekiros Stelios

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

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4. Effect of vowel context in cepstral and entropy analysis of pathological voices;Selamtzis;Biomed Signal Process Control,2019

5. F analyzing infant cries using a committee of neural networks in order to detect hypoxia related disorder;Poel;Int J Artif Intell Tools,2006

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