3 papers
cs.LG2025
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
Elaheh Jafarigol, Theodore Trafalis, Neshat Mohammadi
For over two decades, detecting rare events has been a challenging task among researchers in the data mining and machine learning domain. Real-life problems inspire researchers to…
cs.LG2025
Using Federated Machine Learning in Predictive Maintenance of Jet Engines
Asaph Matheus Barbosa, Thao Vy Nhat Ngo, Elaheh Jafarigol +2
The goal of this paper is to predict the Remaining Useful Life (RUL) of turbine jet engines using a federated machine learning framework. Federated Learning enables multiple edge d…
cs.LG2024
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
Karen Roberts-Licklider, Theodore Trafalis
The aim of this study is to look at predicting whether a person will complete a drug and alcohol rehabilitation program and the number of times a person attends. The study is based…