Abstract: Securing systems, networks, and information amid cyber threats involves a blend of machine learning and cybersecurity, which uses machine learning to identify abnormal behaviors, classify ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

A student who paid thousands for a tech boot camp said it was “a Caltech program in name only.” By Alan Blinder The California Institute of Technology has agreed to settle a class-action lawsuit that ...

Abstract: In an era where cyber attacks are getting increasingly complex, the incorporation of machine learning (ML) algorithms into cybersecurity processes has emerged as a crucial technique for ...