certifications. We employed a quantitative, cross-sectional methodology using three machine learning algorithms (Decision Tree … Classification, Random Forest, Logistic Regression) and the double machine learning technique to identify causal effects and …

practices, including Smart Energy Management Systems, Energy-Efficient Machine Learning models, Virtual and Remote Laboratories …

Squares (OLS) regression with a Double Machine Learning (DML) framework incorporating models such as random forests, boosted …

CG process is enhanced by integrating a machine learning (ML) model to predict reduced-cost columns, improving …

sentiment measure historically for a panel of 78 countries using machine learning models trained on BERT embeddings of …

This study empirically investigates the performance of Elastic Machine Learning, an industrial, unsupervised anomaly …

found any paper that uses machine learning (ML) algorithms to assess the financial distress of German manufacturing firms …