A stacking model using URL and HTML features for phishing webpage detection
Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …
HTML features. In terms of features, we design lightweight URL and HTML features and …
Eden: Evolutionary deep networks for efficient machine learning
E Dufourq, BA Bassett - … of South Africa and Robotics and …, 2017 - ieeexplore.ieee.org
Deep neural networks continue to show improved performance with increasing depth, an
encouraging trend that implies an explosion in the possible permutations of network …
encouraging trend that implies an explosion in the possible permutations of network …
Gearbox fault prediction of wind turbines based on a stacking model and change-point detection
T Yuan, Z Sun, S Ma - Energies, 2019 - mdpi.com
The fault diagnosis and prediction technology of wind turbines are of great significance for
increasing the power generation and reducing the downtime of wind turbines. However …
increasing the power generation and reducing the downtime of wind turbines. However …
A layer-wise deep stacking model for social image popularity prediction
In this paper, we present a Layer-wise Deep Stacking (LDS) model to predict the popularity
of Flickr-like social posts. LDS stacks multiple regression models in multiple layers, which …
of Flickr-like social posts. LDS stacks multiple regression models in multiple layers, which …
[PDF][PDF] Evolutionary deep learning
E Dufourq - 2019 - open.uct.ac.za
The primary objective of this thesis is to investigate whether evolutionary concepts can
improve the performance, speed and convenience of algorithms in various active areas of …
improve the performance, speed and convenience of algorithms in various active areas of …