SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction
9 references·0 citing·37 second hop
A Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction (2024)A Two-Stage Stacking Ensemble Learning fo…A Decision Concept to Support House Hunting (2022)A Decision Concept to Support…Prediction of Employee Attrition Using Machine Learning and Ensemble Methods (2021)Prediction of Employee Attrit…Predictive Modelling of Employee Turnover in Indian IT Industry Using Machine Learning Techniques (2019)Predictive Modelling of Emplo…Prediction of employee performance using machine learning techniques (2019)Prediction of employee perfor…Performance Predicting in Hiring Process and Performance Appraisals Using Machine Learning (2019)Performance Predicting in Hir…Machine Learning Approach for Employee Attrition Analysis (2019)Machine Learning Approach for…Predicting Employee Attrition using Machine Learning (2018)Predicting Employee Attrition…Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)Employee Turnover Prediction …Evaluation of machine learning models for employee churn prediction (2017)Evaluation of machine learnin…A review of the literature on employee turnover (2007)Employee churn prediction (2010)Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)A review paper on artificial intelligence at the service of human resources management (2020)Employee Attrition Estimation Using Random Forest Algorithm (2021)Intelligent Employee Retention System for Attrition Rate Analysis and Churn Prediction (2021)Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry (2006)From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction (2021)Predictive Model of Employee Attrition Based on Stacking Ensemble Learning (2022)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)The effects of pay level on organization‐based self‐esteem and performance: A field study (2004)An exploratory study of US lodging properties' organizational practices on employee turnover and retention (2009)An Improved Machine Learning-Based Employees Attrition Prediction Framework with Emphasis on Feature Selection (2021)Understanding the small business sector (1995)AN ORGANIZATION-LEVEL ANALYSIS OF VOLUNTARY AND INVOLUNTARY TURNOVER. (1998)Understanding The Small Business Sector (2016)A novel deep learning model based on convolutional neural networks for employee churn prediction (2021)Envisaging Employee Churn Using MCDM and Machine Learning (2022)A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation (2024)Using Data Mining Techniques to Build a Classification Model for Predicting Employees Performance (2012)Impact of human resource management practices on TQM: an ISM-DEMATEL approach (2021)AI in Performance Management: Redefining Performance Appraisals in the Digital Age (2023)An Analysis of the Challenges to Human Resource in Implementing Artificial Intelligence (2023)Thomas-Kilmann Conflict Mode Instrument (1974)The Motivation Analysis Test: An Historical and Contemporary Evaluation (2005)RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers (2022)Machine learningbased approaches for enhancing human resource management using automated employee performance prediction systems (2024)Employees’ perceptions of the fairness of AI-based performance prediction features (2025)Fundamentals of the analytic network process — multiple networks with benefits, costs, opportunities and risks (2004)Environmental impact assessment using the evidential reasoning approach (2005)Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy/network process (2008)Leveraging Data-Driven Decision Making for E-Commerce Growth: A Machine Learning Framework (2024)Uplift modeling VS conventional predictive model: A reliable machine learning model to solve employee turnover (2021)Detection and Identification of Employee Attrition Using a Machine Learning Algorithm (2022)Employee Attrition: Analysis of Data Driven Models (2024)Potential of Artificial Intelligence in Boosting Employee Retention in the Human Resource Industry (2023)A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics (2025)
this work references cited by second hop

References

  • 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach170 cited
  • 2018Predicting Employee Attrition using Machine Learning138 cited
  • 2017Evaluation of machine learning models for employee churn prediction118 cited
  • 2021Prediction of Employee Attrition Using Machine Learning and Ensemble Methods88 cited
  • 2019Predictive Modelling of Employee Turnover in Indian IT Industry Using Machine Learning Techniques83 cited
  • 2019Performance Predicting in Hiring Process and Performance Appraisals Using Machine Learning50 cited
  • 2022A Decision Concept to Support House Hunting39 cited
  • 2019Prediction of employee performance using machine learning techniques33 cited
  • 2019Machine Learning Approach for Employee Attrition Analysis23 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work