The number of component classifiers chosen for an ensemble greatly impacts the prediction
ability. In this paper, we use a geometric framework for a priori determining the ensemble …

Text classification is the process of determining categories or tags of a document depending
on its content. Although it is a well-known process, it has many steps that require tuning to …

The number of component classifiers chosen for an ensemble greatly impacts the prediction
ability. In this paper, we use a geometric framework for a priori determining the ensemble …

The cyber security threats from phishing emails have been growing buoyed by the capacity
of their distributors to fine‐tune their trickery and defeat previously known filtering …

Hate speech against individuals and groups with certain demographics is a major issue in
social media. Supervised models for hate speech detection mostly utilize labeled data …

In this paper, we proposed a novel hierarchical two-pathway autoencoders architecture to
transform a local information based on skyline scene representation, into nonlinear space …