… the machine learning methods for estimation of the nuisance functions, … the resampling schemes, … the double machine learning algorithm, … the Neyman orthogonal score functions, … It further can be ...

fastml is an R package for training, evaluating, and comparing machine learning models with a guarded resampling workflow. Rather than introducing new learning algorithms, fastml focuses on reducing ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

Introduction: The blood-brain barrier (BBB) is a selective barrier that limits the transport of molecules from the bloodstream into the brain. For drugs unfolding their effects in the brain, the ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

Deep learning has revolutionized numerous fields, notably image classification. However, conventional methods in agricultural pest recognition struggle with the long-tail distribution of pest image ...

Abstract: in recent years, job scams, especially online job scams, have become one of the most serious social problems worldwide and have brought great threats to the safety of people's lives and ...

We used 16 machine learning models, including extreme gradient boosting, adaptive boosting, k-nearest neighbor, and logistic regression models, along with an original resampling method and 3 other ...