Seizure classification is vital for the management of people with seizures and epilepsy, as the type of seizure can determine therapeutic options. Specific seizure types often respond best to targeted ...

Convolution Neural Networks (CNN) models have shown remarkable results for classifying text and sentiments. In this paper, we present our approach on the task of classifying movie reviews using the ...

The Supreme Court runs afoul of its own equal protection doctrine by ignoring explicit classifications.

Time Series Classification (TSC) aims to develop predictive models for discrete target variables using ordered, real-valued attributes. However, existing deep learning approaches face challenges in ...