A voting ensemble classifier for stress detection-Reference-Cited by-同舟云学术

A voting ensemble classifier for stress detection

Published:2024-01-30 Issue:3 Volume:8 Page:399-416
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Hadhri Sami¹^ORCID,Hadiji Mondher¹^ORCID,Labidi Walid²

Affiliation:

1. Higher Institute of Technological Studies Sfax, Sfax, Tunisia

2. Faculty of Sciences Sfax, Sfax, Tunisia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2024.2306786

Reference25 articles.

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3. Detection and analysis of stress using machine learning techniques;Baheti R. R.;International Journal of Engineering and Advanced Technology (IJEAT,2019

4. A random forest guided tour;Biau G.;Official Journal of the Spanish Society of Statistics and Operations Research,2016

5. Bobade P. & Vani M. (2020). Stress detection with machine learning and deep learning using multimodal physiological data. In Second International Conference on Inventive Research in Computing Applications (ICIRCA) IEEE Xplore Part Number: CFP20N67-ART ISBN: 978-1-7281-5374-2.

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