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The Hybrid Machine Learning-Based Decisionmaking Approach to Predict Employee Performance

  • Madras University
  • Jugl Incorporation Limited Anna University
  • Jugl Incorporation Limited

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2025 IEEE 16th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025
EditorsRajashree Paul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-113
Number of pages8
ISBN (Electronic)9798331565015
DOIs
StatePublished - 2025
Externally publishedYes
Event16th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025 - Yorktown Heights, United States
Duration: Oct 22 2025Oct 24 2025

Publication series

Series2025 IEEE 16th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025

Conference

Conference16th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025
Country/TerritoryUnited States
CityYorktown Heights
Period10/22/2510/24/25

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Instrumentation

Keywords

  • Classification
  • Employee performance
  • Forecasting
  • Human Resource Management
  • Machine Learning
  • Prediction Models

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