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Employee's knowledge is an organization asset. Turnover may impose apparent and hidden costs and irreparable damages. To overcome and mitigate this risk, employee's condition should be monitored. Due to high complexity of analyzing…

Machine Learning · Computer Science 2024-02-07 Mahyar Karimi , Kamyar Seyedkazem Viliyani

This paper presents a novel data-driven approach to mitigating employee attrition using machine learning and data engineering techniques. The proposed framework integrates data from various human resources systems and leverages advanced…

Machine Learning · Computer Science 2025-02-26 Naveen Edapurath Vijayan

Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource management challenge due…

Machine Learning · Computer Science 2023-03-09 André Artelt , Andreas Gregoriades

Purpose - Inefficient hiring may result in lower productivity and higher training costs. Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. Also, employers typically spend a considerable…

Machine Learning · Computer Science 2022-02-09 Gopal Nath , Antoine Harfouche , Austin Coursey , Krishna K. Saha , Srikanth Prabhu , Saptarshi Sengupta

We aim to predict whether an employee of a company will leave or not, using the k-Nearest Neighbors algorithm. We use evaluation of employee performance, average monthly hours at work and number of years spent in the company, among others,…

Machine Learning · Statistics 2018-06-28 Rahul Yedida , Rahul Reddy , Rakshit Vahi , Rahul Jana , Abhilash GV , Deepti Kulkarni

Skilled employees are the most important pillars of an organization. Despite this, most organizations face high attrition and turnover rates. While several machine learning models have been developed to analyze attrition and its causal…

Artificial Intelligence · Computer Science 2023-08-29 Karishma Mohiuddin , Mirza Ariful Alam , Mirza Mohtashim Alam , Pascal Welke , Michael Martin , Jens Lehmann , Sahar Vahdati

User intended actions are widely seen in many areas. Forecasting these actions and taking proactive measures to optimize business outcome is a crucial step towards sustaining the steady business growth. In this work, we focus on pre-…

Machine Learning · Computer Science 2018-10-12 Fei Tan , Zhi Wei , Jun He , Xiang Wu , Bo Peng , Haoran Liu , Zhenyu Yan

Background/Purpose: The use of artificial intelligence (AI) models for data-driven decision-making in different stages of employee lifecycle (EL) management is increasing. However, there is no comprehensive study that addresses…

Employee well-being is a critical concern in the contemporary workplace, as highlighted by the American Psychological Association's 2021 report, indicating that 71% of employees experience stress or tension. This stress contributes…

Computation and Language · Computer Science 2024-02-05 David W. Vinson , Mihael Arcan , David-Paul Niland , Fionn Delahunty

Employee theft and dishonesty is a major contributor to loss in the retail industry. Retailers have reported the need for more automated analytic tools to assess the liability of their employees. In this work, we train and optimize several…

Machine Learning · Computer Science 2018-03-30 Richard R. Yang , Mike Borowczak

Employee turnover refers to an individual's termination of employment from the current organization. It is one of the most persistent challenges for firms, especially those ones in Information Technology (IT) industry that confront high…

Machine Learning · Computer Science 2025-02-05 Hao Liu , Yong Ge

Childhood obesity is a major public health concern. Multidisciplinary pediatric weight management programs are considered standard treatment for children with obesity and severe obesity who are not able to be successfully managed in the…

Machine Learning · Computer Science 2022-03-08 Hamed Fayyaz , Thao-Ly T. Phan , H. Timothy Bunnell , Rahmatollah Beheshti

In this paper, we analyzed the dataset IBM Employee Attrition to find the main reasons why employees choose to resign. Firstly, we utilized the correlation matrix to see some features that were not significantly correlated with other…

Computers and Society · Computer Science 2021-01-05 Shenghuan Yang , Md Tariqul Islam

Forecasting corporate financial distress increasingly requires capturing firms' adoption of transformative technologies such as artificial intelligence, yet model performance remains vulnerable to temporal distribution shifts as these…

General Economics · Economics 2026-04-07 Frederik Rech , Hussam Musa , Martin Šebeňa , Siele Jean Tuo

Many organizations depend on human decision-makers to make subjective decisions, especially in settings where information is scarce. Although workers are often viewed as interchangeable, the specific individual assigned to a task can…

Optimization and Control · Mathematics 2024-10-11 Eric G. Stratman , Justin J. Boutilier , Laura A. Albert

Quantitative models are an important decision-making factor for policy makers and investors. Predicting an economic recession with high accuracy and reliability would be very beneficial for the society. This paper assesses machine learning…

Econometrics · Economics 2023-09-01 Kian Tehranian

Nowadays, human resource is an important part of various resources of enterprises. For enterprises, high-loyalty and high-quality talented persons are often the core competitiveness of enterprises. Therefore, it is of great practical…

Artificial Intelligence · Computer Science 2020-12-02 Xiaohan Cheng

As autonomous systems become integral to various industries, effective strategies for fault handling are essential to ensure reliability and efficiency. Transfer of Control (ToC), a traditional approach for interrupting automated processes…

Robotics · Computer Science 2025-05-19 Julian Wolter , Amr Gomaa

Science, technology, engineering, and math (STEM) fields play growing roles in national and international economies by driving innovation and generating high salary jobs. Yet, the US is lagging behind other highly industrialized nations in…

Other Statistics · Statistics 2017-08-31 Lovenoor Aulck , Rohan Aras , Lysia Li , Coulter L'Heureux , Peter Lu , Jevin West

Being able to predict the neural signal in the near future from the current and previous observations has the potential to enable real-time responsive brain stimulation to suppress seizures. We have investigated how to use an auto-encoder…

Computer Vision and Pattern Recognition · Computer Science 2018-07-04 Yilin Song , Jonathan Viventi , Yao Wang
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