Abstract: The accuracy of skeleton-based action recognition models can be significantly improved using data processing techniques, particularly in complicated environments such as retail stores where ...

Python has become the go-to language for data science thanks to its simplicity, versatility, and massive library ecosystem. From cleaning messy datasets to building advanced machine learning models, ...

Python remains the go-to language for mastering machine learning, offering a rich ecosystem of libraries, frameworks, and real-world projects to build practical skills. From predictive maintenance to ...

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

Abstract: Precise air quality prediction is an essential criterion for smart cities. Prediction accuracy relies heavily on the quality of input data. However, raw environmental datasets often suffer ...

CASREL is a machine learning framework that infers RBP–alternative splicing regulatory networks de novo from single-cell RNA sequencing data, free of prior RBP–RNA binding annotations. By leveraging ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...