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

Lahmiri, Salim, Tadj, Chakib, Gargour, Christian and Bekiros, Stelios. 2023. « 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 ». Chaos, Solitons and Fractals, vol. 167.
Compte des citations dans Scopus : 5.

The full text of this document is not available here.

Item Type:	Peer reviewed article published in a journal
Professor:	Professor Tadj, Chakib Gargour, Christian
Affiliation:	Génie électrique, Génie électrique
Date Deposited:	26 Jan 2023 23:48
Last Modified:	26 Jan 2023 23:48
URI:	https://espace2.etsmtl.ca/id/eprint/26137

Actions (login required)

View Item