Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Abstract: Monitoring of mental health at an early stage allows for the intervention and treatment that suits the individual’s needs, thus enhancing successful outcomes with less stigma associated with ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Abstract: Random Forest is an efficient machine learning classification algorithm known for its high accuracy and interpretability. However, the traditional voting mechanism in the standard Random ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...