Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...

Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitations (even fail) with ...

This project forecasts daily sales for Rossmann stores using historical data, store metadata, and engineered features. We use the Random Forest Regression & XGBoost regression model to capture complex ...

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

ABSTRACT: Predicting the exact duration of sick leave in patients with tuberculosis remains challenging due to the heterogeneity of recovery trajectories. This study uses machine learning to estimate ...

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...