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Convolutional Neural Network and Capsule Network Fusion for Effective Attrition Classification
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Convolutional Neural Network and Capsule Network Fusion for Effective Attrition Classification (2023)Convolutional Neural Network and Capsule …Predictive Model of Employee Attrition Based on Stacking Ensemble Learning (2022)Predictive Model of Employee …Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms (2022)Automated Prediction of Emplo…Prediction of Employee Attrition Using Machine Learning and Ensemble Methods (2021)Prediction of Employee Attrit…From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction (2021)From Big Data to Deep Data to…Predicting Employee Attrition Using Machine Learning Techniques (2020)Predicting Employee Attrition…Predicting Employee Attrition using Machine Learning (2018)Predicting Employee Attrition…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)Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)An Improved Machine Learning-Based Employees Attrition Prediction Framework with Emphasis on Feature Selection (2021)A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium (2000)What really matters in a job? Hedonic measurement using quit data (2001)Human Resource Management and Labor Productivity: Does Industry Matter? (2005)Machine learning and role of artificial intelligence in optimizing work performance and employee behavior (2021)Predicting and explaining employee turnover intention (2022)HR and analytics: why HR is set to fail the big data challenge (2016)Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming (2020)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)Analyzing Employee Attrition Using Explainable AI for Strategic HR Decision-Making (2023)Strategic Integration of Artificial Intelligence for Sustainable Businesses: Implications for Data Management and Human User Engagement in the Digital Era (2023)A Formula for the Gini Coefficient (1979)Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI (2024)A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition (2025)Employee Retention Analytics: Predictive Modeling for Workforce Stability and Talent Management (2025)Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)Fake News Detection Using Machine Learning Ensemble Methods (2020)A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation (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)
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References

  • 2020Predicting Employee Attrition Using Machine Learning Techniques280 cited
  • 2018Predicting Employee Attrition using Machine Learning138 cited
  • 2021From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction136 cited
  • 2022Predictive Model of Employee Attrition Based on Stacking Ensemble Learning99 cited
  • 2021Prediction of Employee Attrition Using Machine Learning and Ensemble Methods88 cited
  • 2022Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms59 cited

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