Multi-sample \(\zeta \)-mixup: richer, more realistic synthetic samples from a p-series interpolant

Modern deep learning training procedures rely on model regularization techniques such as data augmentation methods, which generate training samples that increase the diversity of data and richness of label inf...

Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques

The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation in...

Can we predict multi-party elections with Google Trends data? Evidence across elections, data windows, and model classes

Google trends (GT), a service aggregating search queries on Google, has been used to predict various outcomes such as as the spread of influenza, automobile sales, unemployment claims, and travel destination p...