Cited by 25AI and HR TechnologiesArtificial Intelligence in HealthcareWorkplace Health and Well-being

A hybrid approach of intelligent systems to help predict absenteeism at work in companies

Open access
Araujo, Vanessa S., Rezende, Thiago S., Guimarães, Augusto J., Araujo, Vinicius J. Silva, de Campos Souza, Paulo V.·2019·SN Applied Sciences

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Crossref · 10.1007/s42452-019-0536-y

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Research works printed but not linked: 2

  1. [66]66. Bach FR Bolasso: model consistent lasso estimation through the bootstrap. In: Proceedings of the 25th international conference on machine learning, ACM, pp 33-40
  2. [74]74. Ponce-Espinosa H, Ponce-Cruz P, Molina A (2013) Artificial organic networks: artificial intelligence based on carbon net- works, vol 521. Springer, Berlin

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Authors
Araujo, V. S., Rezende, T. S., Guimarães, A. J., Araujo, V. J. S., & de Campos Souza, P. V.
Affiliations
Centro Universitário Una (BR)
Corresponding author
  • Rezende, Thiago S.
  • Guimarães, Augusto J.
Venue
SN Applied Sciences
Published
2019-05-07
Volume
1
Issue
6
ISSN
  • 2523-3963 (ISSN-L)
  • 2523-3971
OpenAlex
W2944801159
Cited by
25
References
73
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2022: 6 · 2021: 4 · 2020: 8 · 2019: 2
FWCI
7.01
Type
journal article
Language
en
Open access
Locations
SN Applied Sciences (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
Keywords
absenteeism prediction, fuzzy set theory, artificial neural networks, employee absence, intelligent decision support system

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