With the growing convergence of artificial intelligence and daily life scenarios, the
application scenarios for intelligent decision methods are becoming increasingly complex …

Since machine and deep learning have made accurate solutions possible, the search for
explainable predictors has begun. Decision trees are competitive in tasks that require …

The self-labeled methods can enlarge the labeled set by continuously adding pseudo-
labeled data from the unlabeled set and predicted by base classifiers. Mislabeling is a great …

Employee attrition and high turnover have become critical challenges faced by various
sectors in today's competitive job market. In response to these pressing issues …

Health risk refers to the probability of the occurrence of a specific health outcome for a
specific patient. Interest in health risk prediction has been increasing, especially with the …

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 …

The advent of big data has revolutionized decision-making processes within the Business-to
Business (B2B) financial sector, primarily by leveraging the predictive power of Machine …