Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...

Abstract: Legal documents' length, complexity, and plenty of domain-specific language make classification and analysis of them challenging. Often lacking the required contextual depth, conventional ...

This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...