A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
This study presents a comprehensive and systematic review of the machine learning (ML)
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC using Deep Learning: A Systematic Literature Review
The increasing reliance on Massive Open Online Courses (MOOCs) has transformed the
landscape of education, particularly during the COVID-19 pandemic, where e-learning …
landscape of education, particularly during the COVID-19 pandemic, where e-learning …
Towards A Framework for Performance Management and Machine Learning in A Higher Education Institution
J Siram, DSV Chikati Srinu, A Tripathi - Journal of Informatics Education …, 2024 - jier.org
This paper proposes a new structure for management and machine learning in higher
education institutions, which is designed to improve the efficiency of an organization and the …
education institutions, which is designed to improve the efficiency of an organization and the …
Clustering-based knowledge graphs and entity-relation representation improves the detection of at risk students
The nature of education has been transformed by technological advances and online
learning platforms, providing educational institutions with more options than ever to thrive in …
learning platforms, providing educational institutions with more options than ever to thrive in …
Using parenclitic networks on phaeochromocytoma and paraganglioma tumours provides novel insights on global DNA methylation
Despite the prevalence of sequencing data in biomedical research, the methylome remains
underrepresented. Given the importance of DNA methylation in gene regulation and …
underrepresented. Given the importance of DNA methylation in gene regulation and …
Enhancing the Prediction of Employee Turnover with Knowledge Graphs and Explainable AI
Employee turnover poses a critical challenge that affects many organizations globally.
Although advanced machine learning algorithms offer promising solutions for predicting …
Although advanced machine learning algorithms offer promising solutions for predicting …
Digitization of the Educational and Scientific Space Based on STEAM Education
Society's social demand for highly qualified specialists capable of innovative engineering
and technical activities actualizes the need to ensure the quality of engineering and …
and technical activities actualizes the need to ensure the quality of engineering and …
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
Educational data mining (EDM) is a part of applied computing that focuses on automatically
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …
A Multilingual BERT Embeddings Approach in Identifying Factors Influencing Employability Among Pre-University Students
Identifying the important factors influencing employability among the pre-university students
is a non-trivial task due to the multifaceted educational data. By leveraging Machine …
is a non-trivial task due to the multifaceted educational data. By leveraging Machine …
A decade of research on machine learning techniques for predicting employee turnover:: A systematic literature review
This study presents a comprehensive and systematic review of the machine learning (ML)
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …