25 citations · 30 across the 4 of their papers we have counts for
4 papers
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
In this paper, we first introduce batch normalization to the edRVFL network. This re-normalization method can help the network avoid divergence of the hidden features. Then we prop…
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification
Rakesh Katuwal, P. N. Suganthan
Extreme learning machine (ELM), which can be viewed as a variant of Random Vector Functional Link (RVFL) network without the input-output direct connections, has been extensively u…
Random Vector Functional Link Neural Network based Ensemble Deep Learning
Rakesh Katuwal, P. N. Suganthan, M. Tanveer
In this paper, we propose a deep learning framework based on randomized neural network. In particular, inspired by the principles of Random Vector Functional Link (RVFL) network, w…
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces
Rakesh Katuwal, P. N. Suganthan
Both neural networks and decision trees are popular machine learning methods and are widely used to solve problems from diverse domains. These two classifiers are commonly used bas…